cxs is a local-first CLI for searching Codex session logs. It is designed for progressive retrieval: find the right session first, then read
Checkpoint: f68e91e0cf0b
Entire-Session: f9325b9a-3080-499d-9949-f39c352dc695
Entire-Strategy: manual-commit
Entire-Agent: Claude Code
Ephemeral-branch: entire/d45ed4b-e3b0c4
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{"type":"permission-mode","permissionMode":"bypassPermissions","sessionId":"f9325b9a-3080-499d-9949-f39c352dc695"}
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{"parentUuid":null,"isSidechain":false,"attachment":{"type":"hook_success","hookName":"SessionStart:startup","toolUseID":"36b57b60-d916-4f1d-bee4-faa62f86e307","hookEvent":"SessionStart","content":"","stdout":"{\"hookSpecificOutput\":{\"hookEventName\":\"SessionStart\",\"additionalContext\":\"# hello2cc\\n\\n先按 Claude Code 风格的三层约束执行：只在宿主公开的能力边界与优先级内做语义匹配和最终工具选择，并接受宿主的权限与 fail-closed 收口。\\n\\n## 优先级\\n- 用户当前消息、Claude Code 宿主规则、`CLAUDE.md` / `AGENTS.md` / 项目规则，始终高于 hello2cc。\\n- 不要替换 Claude Code 原生工作流；只在宿主真实暴露的能力面上做选择。\\n- 显式工具输入、原生工具 schema、权限模式和宿主返回的真实状态，始终高于 hello2cc 的补充策略。\\n- 当宿主只给出弱提示时，不要求用户原话与工具名或 workflow 名同语言、同关键词；直接基于用户原话语义，在宿主公开的 candidate/path 边界内选择最贴近的 Claude Code 原生路径。\\n- 当强 continuity 没有锁定单一路由时，只允许在宿主公开的 specialization 候选里做语义选择；不要自由发明隐藏路径，也不要再从正文里反推自己的选择结果。\\n- 对 `EnterPlanMode` 采用保守边界：只有真实架构歧义、需求需要先澄清、高影响重构，或用户明确要求先出方案时才考虑进入 session 级 plan mode。\\n- `Plan` / `Explore` agent 是只读 helper；它们用于搜集信息或产出方案，不等于进入 session 级 `EnterPlanMode`，也不会自动要求走 plan-mode approval flow。\\n- 路径清晰的实现、沿现有模式落地的功能、边界明确的多文件修改、以及 clear bug fix 默认直接执行；只在有真实阻塞时用 `AskUserQuestion` 提具体问题，不要先开 plan mode。\\n- hello2cc 常驻层始终保留输出风格、原生工具语义、协议适配与 fail-closed 收口；若宿主已 surfaced 更高优先级 skill/workflow owner，主流程编排让位给宿主。\\n\\n## Specificity / capability ladder\\n- 宿主先定义能力边界与优先级；模型只在这个受约束空间里做语义匹配和最终工具选择。\\n- 默认顺序：已加载连续体 → surfaced capability → discovery → 更宽的 agent / team 路径；不要一上来就退回最宽的工具或自创工作流。\\n- `Plan` / `Explore` 只是只读 helper，不等于 session 级 `EnterPlanMode`；不要因为有这些 agent 就默认先进入 plan mode。\\n- 当前会话模型别名：`gpt-5.5(xhigh)`。\\n\\n## 输出风格\\n- 输出风格固定为 `hello2cc:hello2cc Native`。\\n- 如果更高优先级规则没有指定格式，保持 Claude Code 原生、简洁、结果导向的表达。\\n- 当表格更清晰时优先 Markdown 表格；只有 Markdown 明显不适合时再用 ASCII。\\n\\n## 宿主状态快照\\n```json\\n{\\n \\\"hello2cc_role\\\": [\\n \\\"native-operator-shell\\\",\\n \\\"host-state\\\",\\n \\\"protocol-adapter\\\",\\n \\\"failure-debounce\\\"\\n ],\\n \\\"operator_profile\\\": \\\"opus-compatible-claude-code\\\",\\n \\\"precedence\\\": [\\n \\\"user_message\\\",\\n \\\"claude_code_host\\\",\\n \\\"CLAUDE.md\\\",\\n \\\"AGENTS.md\\\",\\n \\\"project_rules\\\",\\n \\\"hello2cc\\\"\\n ],\\n \\\"policy_summary\\\": {\\n \\\"specificity_ladder\\\": [\\n \\\"loaded workflow / skill continuity\\\",\\n \\\"surfaced skill / workflow\\\",\\n \\\"known MCP resource\\\",\\n \\\"loaded or surfaced deferred tool\\\",\\n \\\"ToolSearch / DiscoverSkills\\\",\\n \\\"broader Agent / Plan / team path\\\"\\n ],\\n \\\"explicit_only\\\": [\\n \\\"EnterWorktree\\\"\\n ],\\n \\\"host_guarded_inputs\\\": [\\n \\\"Agent.team_name\\\",\\n \\\"Agent.isolation=worktree\\\",\\n \\\"SendMessage.summary\\\"\\n ]\\n },\\n \\\"protocol_adapters\\\": {\\n \\\"capability_policies\\\": \\\"host_defined_then_model_selects_within_bounds\\\",\\n \\\"semantic_routing\\\": \\\"host_guarded_model_decides\\\",\\n \\\"workflow_owner_arbitration\\\": \\\"style_and_tool_semantics_always_on_defer_main_workflow_to_visible_host_skill_owner\\\",\\n \\\"explicit_tool_input_wins\\\": true,\\n \\\"agent_model\\\": \\\"fill_safe_claude_slot_if_missing\\\",\\n \\\"plan_mode\\\": \\\"enter_for_complex_design_exit_for_plan_approval_then_implement\\\",\\n \\\"send_message_summary\\\": \\\"fill_if_missing\\\",\\n \\\"repeated_failure_policy\\\": \\\"block_same_failed_precondition_until_state_changes\\\",\\n \\\"task_continuity\\\": \\\"remember_task_board_state_assignments_and_blockers_then_block_stale_mutations\\\",\\n \\\"tool_discovery\\\": \\\"prefer_specific_surface_then_guard_toolsearch_retries\\\",\\n \\\"team_coordination\\\": \\\"named_teammates_via_sendmessage_task_state_via_taskupdate\\\",\\n \\\"team_mailbox_protocol\\\": \\\"host-scoped_task_assignment_idle_notification_teammate_terminated_shutdown_and_plan_approval_messages\\\"\\n },\\n \\\"session\\\": {\\n \\\"model\\\": \\\"gpt-5.5(xhigh)\\\",\\n \\\"output_style\\\": \\\"hello2cc:hello2cc Native\\\"\\n },\\n \\\"websearch\\\": {\\n \\\"mode\\\": \\\"proxy-unknown\\\"\\n }\\n}\\n```\\n\\n## Capability policy snapshot\\n```json\\n{\\n \\\"engine\\\": \\\"host_defined_capability_policies\\\",\\n \\\"selection_mode\\\": \\\"model_chooses_within_host_bounds\\\",\\n \\\"specificity_ladder\\\": [\\n \\\"已加载 workflow / skill 连续体\\\",\\n \\\"已 surfaced 的 skill / workflow\\\",\\n \\\"已知 MCP resource\\\",\\n \\\"已加载或已 surfaced 的 deferred tool\\\",\\n \\\"ToolSearch / DiscoverSkills\\\",\\n \\\"更宽的 Agent / Plan / team 路径\\\"\\n ],\\n \\\"request_tracks\\\": [],\\n \\\"requested_output_shape\\\": \\\"plain_native_prose\\\",\\n \\\"policies\\\": [\\n {\\n \\\"id\\\": \\\"specificity-ladder\\\",\\n \\\"mode\\\": \\\"host_defines_capability_priority\\\",\\n \\\"order\\\": [\\n \\\"已加载 workflow / skill 连续体\\\",\\n \\\"已 surfaced 的 skill / workflow\\\",\\n \\\"已知 MCP resource\\\",\\n \\\"已加载或已 surfaced 的 deferred tool\\\",\\n \\\"ToolSearch / DiscoverSkills\\\",\\n \\\"更宽的 Agent / Plan / team 路径\\\"\\n ],\\n \\\"output_shape\\\": \\\"plain_native_prose\\\"\\n }\\n 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{"parentUuid":"92df38f8-f0df-40b3-a3d5-1d65f4608b76","isSidechain":false,"attachment":{"type":"hook_additional_context","content":["# hello2cc\n\n先按 Claude Code 风格的三层约束执行：只在宿主公开的能力边界与优先级内做语义匹配和最终工具选择，并接受宿主的权限与 fail-closed 收口。\n\n## 优先级\n- 用户当前消息、Claude Code 宿主规则、`CLAUDE.md` / `AGENTS.md` / 项目规则，始终高于 hello2cc。\n- 不要替换 Claude Code 原生工作流；只在宿主真实暴露的能力面上做选择。\n- 显式工具输入、原生工具 schema、权限模式和宿主返回的真实状态，始终高于 hello2cc 的补充策略。\n- 当宿主只给出弱提示时，不要求用户原话与工具名或 workflow 名同语言、同关键词；直接基于用户原话语义，在宿主公开的 candidate/path 边界内选择最贴近的 Claude Code 原生路径。\n- 当强 continuity 没有锁定单一路由时，只允许在宿主公开的 specialization 候选里做语义选择；不要自由发明隐藏路径，也不要再从正文里反推自己的选择结果。\n- 对 `EnterPlanMode` 采用保守边界：只有真实架构歧义、需求需要先澄清、高影响重构，或用户明确要求先出方案时才考虑进入 session 级 plan mode。\n- `Plan` / `Explore` agent 是只读 helper；它们用于搜集信息或产出方案，不等于进入 session 级 `EnterPlanMode`，也不会自动要求走 plan-mode approval flow。\n- 路径清晰的实现、沿现有模式落地的功能、边界明确的多文件修改、以及 clear bug fix 默认直接执行；只在有真实阻塞时用 `AskUserQuestion` 提具体问题，不要先开 plan mode。\n- hello2cc 常驻层始终保留输出风格、原生工具语义、协议适配与 fail-closed 收口；若宿主已 surfaced 更高优先级 skill/workflow owner，主流程编排让位给宿主。\n\n## Specificity / capability ladder\n- 宿主先定义能力边界与优先级；模型只在这个受约束空间里做语义匹配和最终工具选择。\n- 默认顺序：已加载连续体 → surfaced capability → discovery → 更宽的 agent / team 路径；不要一上来就退回最宽的工具或自创工作流。\n- `Plan` / `Explore` 只是只读 helper，不等于 session 级 `EnterPlanMode`；不要因为有这些 agent 就默认先进入 plan mode。\n- 当前会话模型别名：`gpt-5.5(xhigh)`。\n\n## 输出风格\n- 输出风格固定为 `hello2cc:hello2cc Native`。\n- 如果更高优先级规则没有指定格式，保持 Claude Code 原生、简洁、结果导向的表达。\n- 当表格更清晰时优先 Markdown 表格；只有 Markdown 明显不适合时再用 ASCII。\n\n## 宿主状态快照\n```json\n{\n \"hello2cc_role\": [\n \"native-operator-shell\",\n \"host-state\",\n \"protocol-adapter\",\n \"failure-debounce\"\n ],\n \"operator_profile\": \"opus-compatible-claude-code\",\n \"precedence\": [\n \"user_message\",\n \"claude_code_host\",\n \"CLAUDE.md\",\n \"AGENTS.md\",\n \"project_rules\",\n \"hello2cc\"\n ],\n \"policy_summary\": {\n \"specificity_ladder\": [\n \"loaded workflow / skill continuity\",\n \"surfaced skill / workflow\",\n \"known MCP resource\",\n \"loaded or surfaced deferred tool\",\n \"ToolSearch / DiscoverSkills\",\n \"broader Agent / Plan / team path\"\n ],\n \"explicit_only\": [\n \"EnterWorktree\"\n ],\n \"host_guarded_inputs\": [\n \"Agent.team_name\",\n \"Agent.isolation=worktree\",\n \"SendMessage.summary\"\n ]\n },\n \"protocol_adapters\": {\n \"capability_policies\": \"host_defined_then_model_selects_within_bounds\",\n \"semantic_routing\": \"host_guarded_model_decides\",\n \"workflow_owner_arbitration\": \"style_and_tool_semantics_always_on_defer_main_workflow_to_visible_host_skill_owner\",\n \"explicit_tool_input_wins\": true,\n \"agent_model\": \"fill_safe_claude_slot_if_missing\",\n \"plan_mode\": \"enter_for_complex_design_exit_for_plan_approval_then_implement\",\n \"send_message_summary\": \"fill_if_missing\",\n \"repeated_failure_policy\": \"block_same_failed_precondition_until_state_changes\",\n \"task_continuity\": \"remember_task_board_state_assignments_and_blockers_then_block_stale_mutations\",\n \"tool_discovery\": \"prefer_specific_surface_then_guard_toolsearch_retries\",\n \"team_coordination\": \"named_teammates_via_sendmessage_task_state_via_taskupdate\",\n \"team_mailbox_protocol\": \"host-scoped_task_assignment_idle_notification_teammate_terminated_shutdown_and_plan_approval_messages\"\n },\n \"session\": {\n \"model\": \"gpt-5.5(xhigh)\",\n \"output_style\": \"hello2cc:hello2cc Native\"\n },\n \"websearch\": {\n \"mode\": \"proxy-unknown\"\n }\n}\n```\n\n## Capability policy snapshot\n```json\n{\n \"engine\": \"host_defined_capability_policies\",\n \"selection_mode\": \"model_chooses_within_host_bounds\",\n \"specificity_ladder\": [\n \"已加载 workflow / skill 连续体\",\n \"已 surfaced 的 skill / workflow\",\n \"已知 MCP resource\",\n \"已加载或已 surfaced 的 deferred tool\",\n \"ToolSearch / DiscoverSkills\",\n \"更宽的 Agent / Plan / team 路径\"\n ],\n \"request_tracks\": [],\n \"requested_output_shape\": \"plain_native_prose\",\n \"policies\": [\n {\n \"id\": \"specificity-ladder\",\n \"mode\": \"host_defines_capability_priority\",\n \"order\": [\n \"已加载 workflow / skill 连续体\",\n \"已 surfaced 的 skill / workflow\",\n \"已知 MCP resource\",\n \"已加载或已 surfaced 的 deferred tool\",\n \"ToolSearch / DiscoverSkills\",\n \"更宽的 Agent / Plan / team 路径\"\n ],\n \"output_shape\": \"plain_native_prose\"\n }\n ]\n}\n```"],"hookName":"SessionStart","toolUseID":"SessionStart","hookEvent":"SessionStart"},"type":"attachment","uuid":"6d2f7424-022e-47ec-9348-852a415ccba8","timestamp":"2026-04-28T08:33:41.205Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"f9325b9a-3080-499d-9949-f39c352dc695","version":"2.1.118","gitBranch":"main"}
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{"parentUuid":"02def0ba-871a-4cc1-8a1f-1509331915ad","isSidechain":false,"attachment":{"type":"skill_listing","content":"- update-config: Use this skill to configure the Claude Code harness via settings.json. Automated behaviors (\"from now on when X\", \"each time X\", \"whenever X\", \"before/after X\") require hooks configured in settings.json - the harness executes these, not Claude, so memory/preferences cannot fulfill them. Also use for: permissions (\"allow X\", \"add permission\", \"move permission to\"), env vars (\"set X=Y\"), hook troubleshooting, or any changes to settings.json/settings.local.json files. Examples: \"allow npm commands\", \"add bq permission to global settings\", \"move permission to user settings\", \"set DEBUG=true\", \"when claude stops show X\". For simple settings like theme/model, suggest the /config command.\n- keybindings-help: Use when the user wants to customize keyboard shortcuts, rebind keys, add chord bindings, or modify ~/.claude/keybindings.json. Examples: \"rebind ctrl+s\", \"add a chord shortcut\", \"change the submit key\", \"customize keybindings\".\n- simplify: Review changed code for reuse, quality, and efficiency, then fix any issues found.\n- fewer-permission-prompts: Scan your transcripts for common read-only Bash and MCP tool calls, then add a prioritized allowlist to project .claude/settings.json to reduce permission prompts.\n- loop: Run a prompt or slash command on a recurring interval (e.g. /loop 5m /foo). Omit the interval to let the model self-pace. - When the user wants to set up a recurring task, poll for status, or run something repeatedly on an interval (e.g. \"check the deploy every 5 minutes\", \"keep running /babysit-prs\"). Do NOT invoke for one-off tasks.\n- schedule: Create, update, list, or run scheduled remote agents (routines) on a cron schedule or once at a specific time. - When the user wants to schedule a recurring remote agent, set up automated tasks, create a cron job for Claude Code, or manage their scheduled agents/routines. Also use when the user wants a one-time scheduled run (\"run this once at 3pm\", \"remind me to check X tomorrow\").\n- claude-api: Build, debug, and optimize Claude API / Anthropic SDK apps. Apps built with this skill should include prompt caching. Also handles migrating existing Claude API code between Claude model versions (4.5 → 4.6, 4.6 → 4.7, retired-model replacements).\nTRIGGER when: code imports `anthropic`/`@anthropic-ai/sdk`; user asks for the Claude API, Anthropic SDK, or Managed Agents; user adds/modifies/tunes a Claude feature (caching, thinking, compaction, tool use, batch, files, citations, memory) or model (Opus/Sonnet/Haiku) in a file; questions about prompt caching / cache hit rate in an Anthropic SDK project.\nSKIP: file imports `openai`/other-provider SDK, filename like `*-openai.py`/`*-generic.py`, provider-neutral code, general programming/ML.\n- skill-judge: Evaluate Agent Skill design quality against official specifications and best practices. Use when reviewing, auditing, or improving SKILL.md files and skill packages. Provides multi-dimensional …\n- edge-tts: Cloudflare Edge TTS 部署与接入。用户提到 edge tts、cloudflare tts、tts worker、文字转语音、语音播报、本机通知接语音、给脚本接 TTS、列 voices、部署一个轻量 TTS 服务时必须使用。适合 clone/部署 DI…\n- agent-browser: Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testin…\n- xsearch: 无需 MCP 的 Grok 直搜 + 轻量编排套套。用于用户说 `$xsearch`、xsearch、想直接跑 curl/HTTP 版 hey-grok、所在环境没挂 hey-grok MCP 但有 shell、需要在脚本/CI/cron 里调搜索，或遇到深度研究想上 subag…\n- session-wrap: Use when the user wants to wrap up the current coding session, summarize the current session before ending work, document learnings, decide what to commit, or says 总结会话, 会话总结, 收尾, 会…\n- mails: 用 mails.dev 给 agent 认领邮箱、收验证码、查收件箱、发邮件，并配合本机 mails-profile 管理多个 mailbox 配置。\n- wrangler: Cloudflare Workers CLI for deploying, developing, and managing Workers, KV, R2, D1, Vectorize, Hyperdrive, Workers AI, Containers, Queues, Workflows, Pipelines, and Secrets Store. Load before r…\n- research-note-wrap: Use when the user wants to summarize research or analysis into a readable Obsidian markdown note, such as 总结调研, 输出结论, 总结分析, 输出笔记, 调研纪要, 分析纪要, 会话结论, or when asking to…\n- cloudflare: Comprehensive Cloudflare platform skill covering Workers, Pages, storage (KV, D1, R2), AI (Workers AI, Vectorize, Agents SDK), networking (Tunnel, Spectrum), security (WAF, DDoS), and infrastru…\n- 0g-hk: 发布与管理「临时公开链接」：把任意文本 / Markdown / 文章 / 草稿 / 代码片段 / AI prompt 发到一个无账号、自动过期（最长 7 天）、用语义化人类可读子域名（如 `repo.<host>`，不是 bit.ly 那种哈希）的…\n- hey-grok: 用 MCP `hey-grok` 做 Grok/xAI 直搜。用于用户明确提到 `$hey-grok`、hey-grok、grok、Grok 搜索、要最新公开信息、趋势、竞品、公开功能更新、通用技术模式，或要求直接返回工具结果时优先使用。默认走轻量…\n- network-diagnosis: Use when the user mentions sb, sing-box, Shadowrocket, Tailscale, VPN conflicts, DNS issues, UDP failures, fakeIP side effects, or asks for a global network diagnosis/control workflow on this M…\n- browser-harness: Direct browser control via CDP. Use when the user wants to automate, scrape, test, or interact with web pages. Connects to the user's already-running Chrome.\n- skill-creator: Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test …\n- workers-best-practices: Reviews and authors Cloudflare Workers code against production best practices. Load when writing new Workers, reviewing Worker code, configuring wrangler.jsonc, or checking for common Workers a…\n- cxs: 用于用户要找本机 Codex 历史会话或 ~/.codex/sessions 上下文:之前、上次、前几天、昨天、我记得我配过、我试过、我们讨论过、翻旧 session、找那次命令、历史对话、Codex 历史、session 历史。Also trigger…\n- frontend-design: Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (example…\n- project-daily-summary: Use when the user wants a same-day Codex work summary grouped by project folder or repository, combining today's Codex sessions, extracted plans, completed items, commits, and uncommitted chang…\n- axcli: Use when the user mentions axcli or needs terminal-driven inspection, reading, clicking, typing, scrolling, waiting, watching AX notifications, or screenshot capture for native macOS app UI thr…\n- cf-ops: Use this skill for any Cloudflare or cf operations on this Mac: DNS, zones, Workers, Pages, D1, KV, R2, Tunnel, Zero Trust, wrangler, cf-admin, API tokens, Global API Key, token rotation, Cloud…\n- commit-daily-summary: Use when the user wants a same-day summary of git commits or a commit-based daily report, asks what they did today, or says 总结我今天做了什么, 总结我的提交, 提交总结, 今天提交总结, 日报.\n- envchain: 在这台 Mac 上统一用 envchain + macOS Keychain 处理敏感环境变量。用于用户提到 envchain、Keychain secrets、namespace、CF token、cf-admin、wrangler 登录、R2 key、替代 op run、给命令注入 token，或…\n- init: Initialize new CLAUDE.md file(s) and optional skills/hooks with codebase documentation\n- review: Review a pull request\n- security-review: Complete a security review of the pending changes on the current branch","skillCount":32,"isInitial":true},"type":"attachment","uuid":"bed85e00-03a1-44e9-a3ee-1d6236d94ef1","timestamp":"2026-04-28T08:34:52.005Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"f9325b9a-3080-499d-9949-f39c352dc695","version":"2.1.118","gitBranch":"main"}
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{"parentUuid":"bed85e00-03a1-44e9-a3ee-1d6236d94ef1","isSidechain":false,"message":{"id":"resp_0e358874ad536b870169f0712d46988191868cfd070725d3d2","type":"message","role":"assistant","model":"gpt-5.5","stop_sequence":null,"usage":{"input_tokens":31404,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"output_tokens":391,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"},"content":[{"type":"thinking","thinking":"**Inspecting documentation**\n\nI need to check the README and possibly the AGENTS rules. The AGENTS have been modified, but the content might still need reviewing. I think I should read the AGENTS.md file as well as the README.md and maybe even the package.json. I’ll have to confirm the current working directory (cwd) and be sure to use the absolute path to avoid confusion. There’s a lot to go through, but it’ll help clarify things!","signature":"gAAAAABp8HEzepVCiQ0Z6xJhbqKwdvnEIp2DstuzmGcLCokYIl9V4eQM_V8pByxj_THfR1Z6CIGetj3XGv7Ygeb7CmrvIMTSWTna8AZxaOHSnerk-P1zSGGZexN3LDM9_rwmVcX7bB9Rgld39HvCn-Wcjq_oujtoUH7o7Aj48ZNtCjXwzOKUgL7_tn5ho5gdXHdoWVkNYRfD4_HTyT69OihGZSuY6nY0DkZYlr839v_qfUJgl3cpFd3Scn2FlBZZfDxuFEZcGMYEd5t5rouUn8bHTAkbzwBi1ObsR7wCHKE5a2lDYJKPmIjrjkNFWSKK9Wm3XVSD_JsDDoyc7adYAWdHRmE_nxIPonWLui_qR6gCpKHo1xD9ZXgW53dvQTx04hHPlUY3nlt-23jVsF1NPTfDNTmW6R8Vok0wjcNYI_LWZx_XKmNRDS2qlOrqJkBV3GBYwKcWAXBpDVtn_sh5dGuGYwu2IH9uumjOo2ErYKjbBoGvK6yABDGu0-dJUlhOBI9DyN2FmJNVXQvV_tgX4dPNimbHEVvDCGR7RH1jIgkyZo3zHR81xppQO5Dq-Yp6u1fuchU5d9D0c8fH4XDxzWd4AOVz9W7W9BjzPHtTZg5hwgNXOF2T-1YuZH2hrNXnEdogCQdCXzqLXcmiV53W2Jzd7UtqlBwK83bm5YQBB7OAAhbc7fBXobcCpIoAuEf1R_HbpJQLo5rceKcO0zhrRmQRAmtFh0Io3j37eJ2-MyvnVr_8KWKCOkrd9SElSyz3mEEa0Wj_U3LL1K6pTBzSwSu_7BwFIPQM2J2Ku91XZL0kky1BjB7lO6pkBSVweVJpmtBMrvXVH86uKg8D-BWM5gOBgQyYxNsgLt6nJvQRKLtkg72Oulbm7Y8VPtVPZ3WxUEx45bsFNiOP_w0OJZh43XyeK6yFlZz_1MAJNKCmjkDit1AMP0P_18PiAmtuNmshrkjh9QM85fPwp44mRJdRv5ZJv4ham5mQqqLDXySnaTr8zYVuBiIQJiJFWNk6zvtj8QG-NL_cC6IsBkJuyTkdB6hC8UCSQq1KTskWUcCVE640ulkmM-cY7UHtmKVgC_9JtOGskSwdV5OAtscK2ofCWENG9xQarFhrKP5kb7erf3oIBc8Rma9TWybhcssxzmvwTXFJUQOjUv3GsDIkZ9YZ3fkXZZsujjlvRqUi-SH-XwSkeo5TL9sPgjWvCx8RF2OBTD6GR6RxQgGGRmF_BPLvoMA5-MtLUff_RSc5OQAFR4GFM5hA6wswEWudpqP8muWvl3maz-lTUWxc5yA_jQCCtjFM1ZMKjYN5VSDV2Yhb4zL25tUKk2X5WiS17QBDmU_h6iPvCRD1FZ-hnc1KOytRAOawmnNsEdKUIpm01NABH3ikyJnzxEdNZwrZnKvoUCuJgU_jUGu7qcC0g54zdyRjH98Z9OVk8IrgWUvt8Axdu0NAdODb45FWuL1a6tp2ZOyckMSli_ZeLCUHIR9z6-szJo20I6BnJ3QRKos7lcqaF6ig97P-1QHZx4Cf1XH9anOPQPprpSCTFExgWr6Ayth44BFwcS8_cgNT2Cl6jDlUL02er8-L3JcrLiWOh4FxSA0yuoEQ7REBbcHqxtd4p3HDP0KwwZGoKQQR3CByins5yCwOSob2OVitc0fU1RIa1_sQPYs95Z8ytaPCroVjByuQeA4CL941VWDhIdHvaBDWIkJ3awwke4jt3l8LixDtTge6ziKVwYOu7eu8a6QCsHDmCTZZNgJFNaRmkbgl4SFPiY_73uG5ftx9_jcnhmxtt1hcmYr_dZI905Cw2pVp26yvwH_cme5peAhiMZ3UxHgLCJR6E1B0mXl-Ka8NjU3VTWhAQMp0X1IZiY_M8AEdnsQG2haMya_8z1vVTGdjhssdo7vZk5c0xbBPTriVGnzbjsDYkzA_p16DgixNJdEKuuVP5d5__jCdOo2qUY-KDP_kyyhmDfhrAprblQZ06egLsLEPguG4w7NtGkW2rh6UMLC_d9kerWq-a8-tWf3F8jrlj_Nzhk4C_w9Ub47cnxVxK5305CNVeD_MTfHVsJgCMMCsMMBSlzG601gA6OfT0JM5fmWTOkndRRV4vhZhfiuV3svMSOrQ5WVWWKtNh8_QOeKLq7WVwIjGwpnIAupt4ek1rfs39LtVarVI50P-GoPsrPt4jB_XDWtoXIs_Er5c-J3dloLl00hmLrd2W-zqLxfmpVpbRprU1BTk_OjiH3VoFUWL7YCOcMfRV-XVle_uzJDxTFLHNms91heMV2oWdb5Te1zKfB6wDLPUdnXPWMjV8pUDaK0DLZOa2ZUk38_iNpNJb9Bl6Ax0W_jWpEh1zf28htcBolMAa-afWgrQ3kzYS6TYTSqNYo_8wFDvVbodb75EyMAnAOsdbxuLXY0WO5IEwxqfVBLQOisv65daBo_zez-TSmMkFsTsoh-ddcoA702B46fL7stsKKrFAan5WW3m7eTLiiPLnPdHsNeEunUoShxMIsaHKvXFUemfYN2l57mFy2Zq3g3WUtHVM1vWVUP38sWohKit5_54hwN9KFNW3RErAlP63dbF08RlgAn8smDd2HUYUZS5R35FmIMPoBHvC9fz89LgvZWAg-A="}],"stop_reason":"tool_use"},"type":"assistant","uuid":"f8f7450c-9a07-4925-8a0c-e31754a2bac1","timestamp":"2026-04-28T08:34:59.485Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"f9325b9a-3080-499d-9949-f39c352dc695","version":"2.1.118","gitBranch":"main"}
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{"parentUuid":"f8f7450c-9a07-4925-8a0c-e31754a2bac1","isSidechain":false,"message":{"id":"resp_0e358874ad536b870169f0712d46988191868cfd070725d3d2","type":"message","role":"assistant","model":"gpt-5.5","stop_sequence":null,"usage":{"input_tokens":31404,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"output_tokens":391,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"},"content":[{"type":"text","text":"我先看一下项目 README 和本地说明，确保给出的项目介绍贴合当前代码，而不是写成泛泛的赞助申请。"}],"stop_reason":"tool_use"},"type":"assistant","uuid":"da6367b2-5ae6-4842-834e-0c3bcdc55940","timestamp":"2026-04-28T08:34:59.689Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"f9325b9a-3080-499d-9949-f39c352dc695","version":"2.1.118","gitBranch":"main"}
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{"parentUuid":"52e14265-c051-46d9-a37f-50c9bb95900e","isSidechain":false,"attachment":{"type":"hook_success","hookName":"PreToolUse:Read","toolUseID":"call_NU9AqT8IpjFTDqijeS5G9o9g","hookEvent":"PreToolUse","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"edf11a01-e085-4ca5-8ea6-ed4f0c4a8aab","timestamp":"2026-04-28T08:34:59.754Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"f9325b9a-3080-499d-9949-f39c352dc695","version":"2.1.118","gitBranch":"main"}
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{"parentUuid":"14446a99-ab0d-4449-beb9-9945de2990da","isSidechain":false,"promptId":"fe36fa93-4603-4d39-9646-0b5a74d17c00","type":"user","message":{"role":"user","content":[{"tool_use_id":"call_NU9AqT8IpjFTDqijeS5G9o9g","type":"tool_result","content":"1\t# cxs\n2\t\n3\t`cxs` 是一个面向本机 Codex 会话日志的渐进式检索 CLI。\n4\t\n5\t它的目标不是“返回整场对话全文”，而是给 agent 或人一个低噪音的读取路径：\n6\t\n7\t`status -> sync --selector -> find/list -> read-range/read-page`\n8\t\n9\t## 适用场景\n10\t\n11\t- 查“之前那个 session 里是怎么修的”\n12\t- 按关键词找最近的 Codex 历史\n13\t- 先拿候选 session，再围绕命中点局部展开\n14\t- 给 sidecar / GUI 工具提供本地 session retrieval engine\n15\t\n16\t## 非目标\n17\t\n18\t- 不做实时 watcher / daemon / 自动 sync\n19\t- 不做 GUI\n20\t- 不直接绑定 live in-flight thread\n21\t- 不返回未裁剪的全文默认输出\n22\t\n23\t当前命令面：\n24\t\n25\t- `cxs sync`\n26\t- `cxs status`\n27\t- `cxs find <query>`\n28\t- `cxs read-range <sessionUuid>`\n29\t- `cxs read-page <sessionUuid>`\n30\t- `cxs list`\n31\t- `cxs stats`\n32\t\n33\t## CLI Install Guide\n34\t\n35\t> **平台支持**:**macOS / Linux only**(`darwin-arm64` / `darwin-x64` / `linux-x64` / `linux-arm64`)。Windows 走 WSL,我们没原生测过 Windows path。\n36\t\n37\t### npm 全局安装(推荐,需要 Node 22+)\n38\t\n39\t```bash\n40\tnpm i -g @act0r/cxs\n41\t```\n42\t\n43\t装出来的命令是 `cxs`。当前唯一发布形态是 Node.js npm 包,不再发布 standalone binary。\n44\t\n45\t也可以一次性用 npx:\n46\t\n47\t```bash\n48\tnpx @act0r/cxs --help\n49\t```\n50\t\n51\t> 包名是 scoped 的,因为 npm 上 `cxs` 已被 css-in-js 库占用。\n52\t\n53\t### 从源码(开发者 / 需要 PR)\n54\t\n55\t```bash\n56\tgit clone https://github.com/catoncat/cxs.git\n57\tcd cxs\n58\tnpm install\n59\tnpm run cxs -- --version # 通过 tsx 直接跑 cli.ts\n60\t```\n61\t\n62\t完整工程命令:`npm run check`(tsc + vitest)、`npm run build`(esbuild bundle 出 `dist/cli.js`)、`npm run eval:perf`(真实大库基准)。\n63\t\n64\t### 首次使用建立索引\n65\t\n66\t```bash\n67\tcxs status --json\n68\tcxs sync --selector '{\"kind\":\"all\",\"root\":\"/Users/you/.codex/sessions\"}'\n69\tcxs stats --json\n70\t```\n71\t\n72\t没有单独的 `init` 命令；`sync` 会创建并更新索引。若直接用 `npx` 试跑:\n73\t\n74\t```bash\n75\tnpx @act0r/cxs status --json\n76\tnpx @act0r/cxs sync --selector '{\"kind\":\"all\",\"root\":\"/Users/you/.codex/sessions\"}'\n77\tnpx @act0r/cxs find \"health check\"\n78\t```\n79\t\n80\t`--help` 应列出 `status` / `sync` / `find` / `read-range` / `read-page` / `list` / `stats`。\n81\t\n82\t### 数据目录\n83\t\n84\t索引默认写到 `~/.local/state/cxs/index.sqlite`(XDG state 约定;`$XDG_STATE_HOME` 也尊重)。`CXS_DATA_DIR` 环境变量优先级最高:\n85\t\n86\t```bash\n87\texport CXS_DATA_DIR=\"$HOME/.config/cxs\"\n88\t```\n89\t\n90\t**自动迁移**:之前装过 cxs 0.2.0 及以下、索引在 `~/.cache/cxs/` 的用户,首次跑新版 `cxs sync` 会自动 `rename` 整个目录到 `~/.local/state/cxs/`,**不需要重 sync**(240 MB 索引不会重建)。如果新位置已有数据,迁移跳过,旧 cache 留在原地等用户手动处理。\n91\t\n92\t### 要求\n93\t\n94\t- 本机可读 `~/.codex/sessions`\n95\t- Node.js `>= 22`\n96\t\n97\t## 用法\n98\t\n99\t默认会读取：\n100\t\n101\t- Codex sessions：`~/.codex/sessions`\n102\t- SQLite 索引：`~/.local/state/cxs/index.sqlite`\n103\t\n104\t先查看 source inventory，再选择 selector 建立索引：\n105\t\n106\t```bash\n107\tcxs status --json\n108\tcxs sync --selector '{\"kind\":\"all\",\"root\":\"/Users/you/.codex/sessions\"}'\n109\t```\n110\t\n111\t`sync` 必须显式传 selector。严格模式下任一文件解析或写库失败都会带着 per-file 诊断非零退出，并且不会提交半截索引。只有显式传 `--best-effort` 时，才会继续写入成功部分；best-effort 不会写 complete coverage。\n112\t\n113\tselector 形态：\n114\t\n115\t```json\n116\t{\"kind\":\"all\",\"root\":\"/Users/you/.codex/sessions\"}\n117\t{\"kind\":\"date_range\",\"root\":\"/Users/you/.codex/sessions\",\"fromDate\":\"2026-04-01\",\"toDate\":\"2026-04-30\"}\n118\t{\"kind\":\"cwd\",\"root\":\"/Users/you/.codex/sessions\",\"cwd\":\"/Users/you/work/project\"}\n119\t{\"kind\":\"cwd_date_range\",\"root\":\"/Users/you/.codex/sessions\",\"cwd\":\"/Users/you/work/project\",\"fromDate\":\"2026-04-01\",\"toDate\":\"2026-04-30\"}\n120\t```\n121\t\n122\t搜索会话：\n123\t\n124\t```bash\n125\tcxs find \"health check\"\n126\t```\n127\t\n128\t`find` 会返回标题、派生的 session summary，以及当前锚点 snippet，方便先做轻量筛选再决定是否 `read-range`。如果命中只来自 session-level title/summary/compact/reasoning summary，结果会标为 `matchSource = \"session\"`，这时先用 `read-page` 浏览整场会话。\n129\t\n130\t围绕命中点读取局部上下文：\n131\t\n132\t```bash\n133\tcxs read-range <sessionUuid> --seq 12\n134\tcxs read-range <sessionUuid> --query \"health check\"\n135\t```\n136\t\n137\t分页读取整场会话：\n138\t\n139\t```bash\n140\tcxs read-page <sessionUuid> --offset 0 --limit 20\n141\t```\n142\t\n143\t列出已索引 session（不做全文检索）：\n144\t\n145\t```bash\n146\tcxs list --limit 20\n147\tcxs list --cwd hammerspoon --since 2026-04-01 --sort ended\n148\t```\n149\t\n150\t索引状态：\n151\t\n152\t```bash\n153\tcxs stats\n154\t```\n155\t\n156\t## 快速开始\n157\t\n158\t下面以已安装的 `cxs` 命令为例；源码 checkout 中可把 `cxs` 替换成 `npm run cxs --`。\n159\t\n160\t首次使用建议按下面顺序：\n161\t\n162\t```bash\n163\tcxs status --json\n164\tcxs sync --selector '{\"kind\":\"cwd\",\"root\":\"/Users/you/.codex/sessions\",\"cwd\":\"/Users/you/work/project\"}'\n165\tcxs find \"health check\"\n166\tcxs read-range <sessionUuid> --seq <matchSeq>\n167\t```\n168\t\n169\t如果你已经知道当前项目路径，也可以把同一个 selector 用于查询：\n170\t\n171\t```bash\n172\tcxs list --selector '{\"kind\":\"cwd\",\"root\":\"/Users/you/.codex/sessions\",\"cwd\":\"/Users/you/work/project\"}' --sort ended -n 10\n173\t```\n174\t\n175\t## 当前实现边界\n176\t\n177\t当前 retrieval 主链是：\n178\t\n179\t`message/session recall -> session heuristic rerank -> read-range/read-page`\n180\t\n181\t已经落地的能力：\n182\t\n183\t- `messages_fts` 驱动的候选召回\n184\t- `sessions_fts(title + summary_text + compact_text + reasoning_summary_text)` 驱动的 session-level 召回\n185\t- `summary_text` 派生摘要\n186\t- JSONL `type=compacted` handoff 与 `response_item.reasoning.summary` 低成本接入\n187\t- session-level FTS 字段权重：title 8.0、compact 4.0、summary 3.0、reasoning summary 1.2\n188\t- session 级 heuristic rerank\n189\t- manual eval 导出与 batch compare\n190\t\n191\t还没落地的能力：\n192\t\n193\t- 真正的 resource-level reranker\n194\t- duplicate collapse / diversity control\n195\t\n196\t更完整的实现说明见 [docs/ARCHITECTURE.md](docs/ARCHITECTURE.md)，后续路线见 [docs/ROADMAP.md](docs/ROADMAP.md)。\n197\t\n198\t## 常见问题\n199\t\n200\t### 为什么 `find` 没搜到我刚刚的 session？\n201\t\n202\t先看 source inventory 和 coverage：\n203\t\n204\t```bash\n205\tcxs status --json\n206\t```\n207\t\n208\t如果目标范围没有 complete coverage，先选择明确 selector 同步：\n209\t\n210\t```bash\n211\tcxs sync --selector '{\"kind\":\"cwd\",\"root\":\"/Users/you/.codex/sessions\",\"cwd\":\"/Users/you/work/project\"}'\n212\t```\n213\t\n214\t### 为什么有些中文短 query 命中不稳定？\n215\t\n216\t当前主召回仍以 message FTS 为主，极少数零 token CJK query 才会回退到 LIKE。短 query 本身信息量低，建议换成更长的词组或加项目上下文。\n217\t\n218\t### 为什么不做自动实时同步？\n219\t\n220\t这是刻意的产品边界。当前接受“手动触发的增量 sync”，而不是 watcher/daemon。"}]},"uuid":"6ff8c120-d1cb-44f3-93db-95e3c8b4f8dc","timestamp":"2026-04-28T08:34:59.755Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/envvar/work/repos/cxs/README.md","content":"# cxs\n\n`cxs` 是一个面向本机 Codex 会话日志的渐进式检索 CLI。\n\n它的目标不是“返回整场对话全文”，而是给 agent 或人一个低噪音的读取路径：\n\n`status -> sync --selector -> find/list -> read-range/read-page`\n\n## 适用场景\n\n- 查“之前那个 session 里是怎么修的”\n- 按关键词找最近的 Codex 历史\n- 先拿候选 session，再围绕命中点局部展开\n- 给 sidecar / GUI 工具提供本地 session retrieval engine\n\n## 非目标\n\n- 不做实时 watcher / daemon / 自动 sync\n- 不做 GUI\n- 不直接绑定 live in-flight thread\n- 不返回未裁剪的全文默认输出\n\n当前命令面：\n\n- `cxs sync`\n- `cxs status`\n- `cxs find <query>`\n- `cxs read-range <sessionUuid>`\n- `cxs read-page <sessionUuid>`\n- `cxs list`\n- `cxs stats`\n\n## CLI Install Guide\n\n> **平台支持**:**macOS / Linux only**(`darwin-arm64` / `darwin-x64` / `linux-x64` / `linux-arm64`)。Windows 走 WSL,我们没原生测过 Windows path。\n\n### npm 全局安装(推荐,需要 Node 22+)\n\n```bash\nnpm i -g @act0r/cxs\n```\n\n装出来的命令是 `cxs`。当前唯一发布形态是 Node.js npm 包,不再发布 standalone binary。\n\n也可以一次性用 npx:\n\n```bash\nnpx @act0r/cxs --help\n```\n\n> 包名是 scoped 的,因为 npm 上 `cxs` 已被 css-in-js 库占用。\n\n### 从源码(开发者 / 需要 PR)\n\n```bash\ngit clone https://github.com/catoncat/cxs.git\ncd cxs\nnpm install\nnpm run cxs -- --version # 通过 tsx 直接跑 cli.ts\n```\n\n完整工程命令:`npm run check`(tsc + vitest)、`npm run build`(esbuild bundle 出 `dist/cli.js`)、`npm run eval:perf`(真实大库基准)。\n\n### 首次使用建立索引\n\n```bash\ncxs status --json\ncxs sync --selector '{\"kind\":\"all\",\"root\":\"/Users/you/.codex/sessions\"}'\ncxs stats --json\n```\n\n没有单独的 `init` 命令；`sync` 会创建并更新索引。若直接用 `npx` 试跑:\n\n```bash\nnpx @act0r/cxs status --json\nnpx @act0r/cxs sync --selector '{\"kind\":\"all\",\"root\":\"/Users/you/.codex/sessions\"}'\nnpx @act0r/cxs find \"health check\"\n```\n\n`--help` 应列出 `status` / `sync` / `find` / `read-range` / `read-page` / `list` / `stats`。\n\n### 数据目录\n\n索引默认写到 `~/.local/state/cxs/index.sqlite`(XDG state 约定;`$XDG_STATE_HOME` 也尊重)。`CXS_DATA_DIR` 环境变量优先级最高:\n\n```bash\nexport CXS_DATA_DIR=\"$HOME/.config/cxs\"\n```\n\n**自动迁移**:之前装过 cxs 0.2.0 及以下、索引在 `~/.cache/cxs/` 的用户,首次跑新版 `cxs sync` 会自动 `rename` 整个目录到 `~/.local/state/cxs/`,**不需要重 sync**(240 MB 索引不会重建)。如果新位置已有数据,迁移跳过,旧 cache 留在原地等用户手动处理。\n\n### 要求\n\n- 本机可读 `~/.codex/sessions`\n- Node.js `>= 22`\n\n## 用法\n\n默认会读取：\n\n- Codex sessions：`~/.codex/sessions`\n- SQLite 索引：`~/.local/state/cxs/index.sqlite`\n\n先查看 source inventory，再选择 selector 建立索引：\n\n```bash\ncxs status --json\ncxs sync --selector '{\"kind\":\"all\",\"root\":\"/Users/you/.codex/sessions\"}'\n```\n\n`sync` 必须显式传 selector。严格模式下任一文件解析或写库失败都会带着 per-file 诊断非零退出，并且不会提交半截索引。只有显式传 `--best-effort` 时，才会继续写入成功部分；best-effort 不会写 complete coverage。\n\nselector 形态：\n\n```json\n{\"kind\":\"all\",\"root\":\"/Users/you/.codex/sessions\"}\n{\"kind\":\"date_range\",\"root\":\"/Users/you/.codex/sessions\",\"fromDate\":\"2026-04-01\",\"toDate\":\"2026-04-30\"}\n{\"kind\":\"cwd\",\"root\":\"/Users/you/.codex/sessions\",\"cwd\":\"/Users/you/work/project\"}\n{\"kind\":\"cwd_date_range\",\"root\":\"/Users/you/.codex/sessions\",\"cwd\":\"/Users/you/work/project\",\"fromDate\":\"2026-04-01\",\"toDate\":\"2026-04-30\"}\n```\n\n搜索会话：\n\n```bash\ncxs find \"health check\"\n```\n\n`find` 会返回标题、派生的 session summary，以及当前锚点 snippet，方便先做轻量筛选再决定是否 `read-range`。如果命中只来自 session-level title/summary/compact/reasoning summary，结果会标为 `matchSource = \"session\"`，这时先用 `read-page` 浏览整场会话。\n\n围绕命中点读取局部上下文：\n\n```bash\ncxs read-range <sessionUuid> --seq 12\ncxs read-range <sessionUuid> --query \"health check\"\n```\n\n分页读取整场会话：\n\n```bash\ncxs read-page <sessionUuid> --offset 0 --limit 20\n```\n\n列出已索引 session（不做全文检索）：\n\n```bash\ncxs list --limit 20\ncxs list --cwd hammerspoon --since 2026-04-01 --sort ended\n```\n\n索引状态：\n\n```bash\ncxs stats\n```\n\n## 快速开始\n\n下面以已安装的 `cxs` 命令为例；源码 checkout 中可把 `cxs` 替换成 `npm run cxs --`。\n\n首次使用建议按下面顺序：\n\n```bash\ncxs status --json\ncxs sync --selector '{\"kind\":\"cwd\",\"root\":\"/Users/you/.codex/sessions\",\"cwd\":\"/Users/you/work/project\"}'\ncxs find \"health check\"\ncxs read-range <sessionUuid> --seq <matchSeq>\n```\n\n如果你已经知道当前项目路径，也可以把同一个 selector 用于查询：\n\n```bash\ncxs list --selector '{\"kind\":\"cwd\",\"root\":\"/Users/you/.codex/sessions\",\"cwd\":\"/Users/you/work/project\"}' --sort ended -n 10\n```\n\n## 当前实现边界\n\n当前 retrieval 主链是：\n\n`message/session recall -> session heuristic rerank -> read-range/read-page`\n\n已经落地的能力：\n\n- `messages_fts` 驱动的候选召回\n- `sessions_fts(title + summary_text + compact_text + reasoning_summary_text)` 驱动的 session-level 召回\n- `summary_text` 派生摘要\n- JSONL `type=compacted` handoff 与 `response_item.reasoning.summary` 低成本接入\n- session-level FTS 字段权重：title 8.0、compact 4.0、summary 3.0、reasoning summary 1.2\n- session 级 heuristic rerank\n- manual eval 导出与 batch compare\n\n还没落地的能力：\n\n- 真正的 resource-level reranker\n- duplicate collapse / diversity control\n\n更完整的实现说明见 [docs/ARCHITECTURE.md](docs/ARCHITECTURE.md)，后续路线见 [docs/ROADMAP.md](docs/ROADMAP.md)。\n\n## 常见问题\n\n### 为什么 `find` 没搜到我刚刚的 session？\n\n先看 source inventory 和 coverage：\n\n```bash\ncxs status --json\n```\n\n如果目标范围没有 complete coverage，先选择明确 selector 同步：\n\n```bash\ncxs sync --selector '{\"kind\":\"cwd\",\"root\":\"/Users/you/.codex/sessions\",\"cwd\":\"/Users/you/work/project\"}'\n```\n\n### 为什么有些中文短 query 命中不稳定？\n\n当前主召回仍以 message FTS 为主，极少数零 token CJK query 才会回退到 LIKE。短 query 本身信息量低，建议换成更长的词组或加项目上下文。\n\n### 为什么不做自动实时同步？\n\n这是刻意的产品边界。当前接受“手动触发的增量 sync”，而不是 watcher/daemon。","numLines":220,"startLine":1,"totalLines":277}},"sourceToolAssistantUUID":"14446a99-ab0d-4449-beb9-9945de2990da","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"f9325b9a-3080-499d-9949-f39c352dc695","version":"2.1.118","gitBranch":"main"}
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{"parentUuid":"0aac6c92-5c52-49ff-8c7c-a63905645e65","isSidechain":false,"promptId":"fe36fa93-4603-4d39-9646-0b5a74d17c00","type":"user","message":{"role":"user","content":[{"tool_use_id":"call_1g4yqUuevDfAxlc7oVh5XXqz","type":"tool_result","content":"1\t# cxs Agent Guide\n2\t\n3\t## 项目定位\n4\t\n5\t`cxs` 是一个面向本机 Codex session 日志的渐进式检索 CLI，不是 GUI app，也不是实时同步守护进程。\n6\t\n7\t当前接受的产品边界：\n8\t\n9\t- 命令面固定为：`status`、`sync`、`find`、`read-range`、`read-page`、`list`、`stats`\n10\t- 主工作流固定为：`status -> sync --selector -> find/list -> read-range/read-page`\n11\t- `sync` 是唯一会修改索引的命令；其余命令只读 SQLite\n12\t- 默认接受手动增量同步，不做 watcher / daemon / realtime sync\n13\t- 这个仓库可以作为其他 sidecar / GUI 的 retrieval engine，但本仓库自身不以 GUI 为目标\n14\t\n15\t## 当前实现真相\n16\t\n17\t- 检索主链是 `message/session recall -> session heuristic rerank -> progressive read`\n18\t- 候选召回来自 `messages_fts` 与 `sessions_fts(title + summary_text + compact_text + reasoning_summary_text)`；极少数零 token CJK query 在 message 侧回退到 LIKE\n19\t- `summary_text`、`compact_text`、`reasoning_summary_text` 已持久化，也会通过 `sessions_fts` 参与 session-level recall\n20\t- session-level FTS 使用显式字段权重：title 8.0、compact 4.0、summary 3.0、reasoning summary 1.2\n21\t- `classifyQueryProfile()` 仍存在，但当前评分没有按 `broad/exact` 做显式分权\n22\t- parser 只把 `event_msg` 里的 user / assistant 写入 `messages`；`type=compacted` 与 `response_item.reasoning.summary` 只进入 session-level 索引字段，不形成可回读 message projection\n23\t\n24\t不要把下面这些说成已完成：\n25\t\n26\t- 真正独立的 stage-2 / resource-level reranker\n27\t- richer projection / range cache / event-level replay\n28\t- duplicate family collapse / diversity control\n29\t- 强约束的 gold set / rubric / error taxonomy\n30\t\n31\t## 代码地图\n32\t\n33\t- [cli.ts](/Users/envvar/work/repos/cxs/cli.ts): CLI 命令面\n34\t- [indexer.ts](/Users/envvar/work/repos/cxs/indexer.ts): sync 与索引更新\n35\t- [parser.ts](/Users/envvar/work/repos/cxs/parser.ts): Codex JSONL 解析与 `summary_text` 生成\n36\t- [db.ts](/Users/envvar/work/repos/cxs/db.ts): SQLite schema、会话/消息存取\n37\t- [query.ts](/Users/envvar/work/repos/cxs/query.ts): find / list / read-range / read-page 查询编排\n38\t- [selector.ts](/Users/envvar/work/repos/cxs/selector.ts): selector 解析与覆盖蕴含规则\n39\t- [source-inventory.ts](/Users/envvar/work/repos/cxs/source-inventory.ts): raw sessions metadata inventory\n40\t- [ranking.ts](/Users/envvar/work/repos/cxs/ranking.ts): session heuristic rerank\n41\t- [eval/](/Users/envvar/work/repos/cxs/eval): manual eval、batch compare\n42\t\n43\t## 文档规则\n44\t\n45\t- 优先维护当前态文档，不保留“看起来像现状、其实只是目标态”的 research 长文\n46\t- 如果文档已经腐化，优先删除或重写，不要叠补丁式修辞\n47\t- `docs/` 里的文档要服务后续 agent 直接接手，而不是保留调研过程痕迹\n48\t- 任何涉及“当前已实现什么”的文档，都必须先对齐代码和测试\n49\t\n50\t## Skill Package 边界\n51\t\n52\t本仓库不维护项目级 `.agents/skills`。cxs 的 skill 是给用户安装后操作 CLI 的发行物，不是维护本仓库时给 Codex agent 自动加载的项目 workflow。\n53\t\n54\tskill package 源码放在：\n55\t\n56\t- `skill-packages/cxs`\n57\t\n58\t对外推荐安装方式：\n59\t\n60\t```bash\n61\tnpx skills add catoncat/cxs --full-depth --skill cxs -g -a codex -y\n62\t```\n63\t\n64\t注意这个 skill 不会自动安装 `cxs` CLI 本体。默认约定：\n65\t\n66\t- 优先使用 `CXS_BIN`\n67\t- 未设置时回退到 `PATH` 里的 `cxs`\n68\t\n69\t## 默认验证\n70\t\n71\t涉及实现或文档真相变更时，至少做与改动直接相关的验证：\n72\t\n73\t- `npm run check`\n74\t- 必要时补一条 CLI 烟测，例如 `npm run cxs -- status --json` 或 `npm run cxs -- find \"<query>\" --json`\n75\t\n76\t没有验证证据，不要声称“已对齐”“已完成”“文档正确”。\n77\t\n78\t## 当前近端优先级\n79\t\n80\t1. 先把 eval 从弱提示升级成更可信的 acceptance gate\n81\t2. 继续观察 session-level 字段召回是否引入排序噪音，并补 eval 覆盖\n82\t3. 更重的 reranker / projection / diversity 控制放后面\n83\t\n84\t具体 roadmap 见 [docs/ROADMAP.md](/Users/envvar/work/repos/cxs/docs/ROADMAP.md)。\n85\t"}]},"uuid":"af3b3b11-09f1-4161-99a3-ee0dc5e9215c","timestamp":"2026-04-28T08:34:59.756Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/envvar/work/repos/cxs/AGENTS.md","content":"# cxs Agent Guide\n\n## 项目定位\n\n`cxs` 是一个面向本机 Codex session 日志的渐进式检索 CLI，不是 GUI app，也不是实时同步守护进程。\n\n当前接受的产品边界：\n\n- 命令面固定为：`status`、`sync`、`find`、`read-range`、`read-page`、`list`、`stats`\n- 主工作流固定为：`status -> sync --selector -> find/list -> read-range/read-page`\n- `sync` 是唯一会修改索引的命令；其余命令只读 SQLite\n- 默认接受手动增量同步，不做 watcher / daemon / realtime sync\n- 这个仓库可以作为其他 sidecar / GUI 的 retrieval engine，但本仓库自身不以 GUI 为目标\n\n## 当前实现真相\n\n- 检索主链是 `message/session recall -> session heuristic rerank -> progressive read`\n- 候选召回来自 `messages_fts` 与 `sessions_fts(title + summary_text + compact_text + reasoning_summary_text)`；极少数零 token CJK query 在 message 侧回退到 LIKE\n- `summary_text`、`compact_text`、`reasoning_summary_text` 已持久化，也会通过 `sessions_fts` 参与 session-level recall\n- session-level FTS 使用显式字段权重：title 8.0、compact 4.0、summary 3.0、reasoning summary 1.2\n- `classifyQueryProfile()` 仍存在，但当前评分没有按 `broad/exact` 做显式分权\n- parser 只把 `event_msg` 里的 user / assistant 写入 `messages`；`type=compacted` 与 `response_item.reasoning.summary` 只进入 session-level 索引字段，不形成可回读 message projection\n\n不要把下面这些说成已完成：\n\n- 真正独立的 stage-2 / resource-level reranker\n- richer projection / range cache / event-level replay\n- duplicate family collapse / diversity control\n- 强约束的 gold set / rubric / error taxonomy\n\n## 代码地图\n\n- [cli.ts](/Users/envvar/work/repos/cxs/cli.ts): CLI 命令面\n- [indexer.ts](/Users/envvar/work/repos/cxs/indexer.ts): sync 与索引更新\n- [parser.ts](/Users/envvar/work/repos/cxs/parser.ts): Codex JSONL 解析与 `summary_text` 生成\n- [db.ts](/Users/envvar/work/repos/cxs/db.ts): SQLite schema、会话/消息存取\n- [query.ts](/Users/envvar/work/repos/cxs/query.ts): find / list / read-range / read-page 查询编排\n- [selector.ts](/Users/envvar/work/repos/cxs/selector.ts): selector 解析与覆盖蕴含规则\n- [source-inventory.ts](/Users/envvar/work/repos/cxs/source-inventory.ts): raw sessions metadata inventory\n- [ranking.ts](/Users/envvar/work/repos/cxs/ranking.ts): session heuristic rerank\n- [eval/](/Users/envvar/work/repos/cxs/eval): manual eval、batch compare\n\n## 文档规则\n\n- 优先维护当前态文档，不保留“看起来像现状、其实只是目标态”的 research 长文\n- 如果文档已经腐化，优先删除或重写，不要叠补丁式修辞\n- `docs/` 里的文档要服务后续 agent 直接接手，而不是保留调研过程痕迹\n- 任何涉及“当前已实现什么”的文档，都必须先对齐代码和测试\n\n## Skill Package 边界\n\n本仓库不维护项目级 `.agents/skills`。cxs 的 skill 是给用户安装后操作 CLI 的发行物，不是维护本仓库时给 Codex agent 自动加载的项目 workflow。\n\nskill package 源码放在：\n\n- `skill-packages/cxs`\n\n对外推荐安装方式：\n\n```bash\nnpx skills add catoncat/cxs --full-depth --skill cxs -g -a codex -y\n```\n\n注意这个 skill 不会自动安装 `cxs` CLI 本体。默认约定：\n\n- 优先使用 `CXS_BIN`\n- 未设置时回退到 `PATH` 里的 `cxs`\n\n## 默认验证\n\n涉及实现或文档真相变更时，至少做与改动直接相关的验证：\n\n- `npm run check`\n- 必要时补一条 CLI 烟测，例如 `npm run cxs -- status --json` 或 `npm run cxs -- find \"<query>\" --json`\n\n没有验证证据，不要声称“已对齐”“已完成”“文档正确”。\n\n## 当前近端优先级\n\n1. 先把 eval 从弱提示升级成更可信的 acceptance gate\n2. 继续观察 session-level 字段召回是否引入排序噪音，并补 eval 覆盖\n3. 更重的 reranker / projection / diversity 控制放后面\n\n具体 roadmap 见 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{"type":"last-prompt","lastPrompt":"我要帮这个项目申请 OpenAI 的开源赞助 我觉得这个项目是提升 codex 的工具 对 openAI 也很有价值 但是这个项目没有知名度 目前也只是我在开发和维护使用 我不懂要怎么写项目介绍 以及 如何针对自己项目使用 api 额度的说明","sessionId":"f9325b9a-3080-499d-9949-f39c352dc695"}
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{"parentUuid":"774af497-4f9d-4f1e-9913-ec16f26b2aa9","isSidechain":false,"message":{"id":"resp_0df79b3be85100e60169f0713490e48191a4e9de9cfcd9a4fb","type":"message","role":"assistant","model":"gpt-5.5","stop_sequence":null,"usage":{"input_tokens":4859,"cache_creation_input_tokens":0,"cache_read_input_tokens":31232,"output_tokens":2111,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"},"content":[{"type":"thinking","thinking":"**Considering API credits usage**\n\nI need to clarify how API credits would be used for sponsorship. I should propose actual current usage. OpenAI API credits could potentially be utilized for evaluation, reranking, summarization, or embeddings, but if there's no current integration, I have to be careful not to misstate that.\n\nI should suggest that credits won't be part of the core functionality but will serve development and optional experiments or evaluations instead. I might also need to create a budget plan to account for these tokens and provide a project introduction in English.","signature":"gAAAAABp8HFAe4EyPQz5pvjmgc2RCQes7ZPoH7mf4SPGEe6ld89HxTvUI_y8IHdiMkxdmUaMKJ412D8VKQEOYIpzbJDjRhH7FzTzfTK_-f-nFsfvE5rrqLtxDpeQMWzeViSOaXj0Zv59a8WJreJJ96_8nYzyjFS-WS5Sn4WBfpmNLD2CvyK_36D7oVK9Y7RB3LBkRo0DgNdMV6RNBTj9Y-8Ler1z45CS1_knnYZeVCYZ3f2-tmv2scIBtxQFvdJApPeUEa1rla6VX86d4lIgqnmlDwpToPxlmSkBz4MzuQXucVRSkXSUe_12gYjfKukHf88Gh3fJ87EpGJ1McGMlbylstIEimd6-bEQhB75QnYCHEFFO3Rh3EE2pwodb6c9y_q1Wbd9PUSx6wLna2mpgSZoLZX4B8Nki2LRV3_XKe_LiSEWhNZdDI5-yqJS-bUYVHTz99zM84YTYW5jUfoRZvxwwrqFS9UEP2JoBaqcXsGBKri15dKaZuJ47yK_MDJH9bSf_rAodpHVbyTLh-eSjKfLEfVjSWR0A1pLqt7tvG0m7bF6b5Q0UkEpz1wvr_KL6DImodl_S0Ls_INTHSiTDgvihLshM4nHLfPNaf1haxar3-hltUo4qre98fq7bVNk_70z7eOUlQJAkdSWeYSs6ao0_Ah7c70tecpwE8pHy8kaRFQcHdeVmG_P7ecnqahtprJXcQESbOJkPPbzRZe2H7Fh_qhRiyi0DhMJ0vFlaqOjV_o6TjktBBzq6CZuQjstNTNYpuVjm1arX_FO8zzl1wsX-g2fWHGazFiiNHuI1kX_yQinwIVUSOWTrkqbcgqlZjHrW0L29rjGcdl4zDZ8NVI1uzhmEesobvNeNhEjzCEVE1FC0ELMGCwokzcot9Mjpn41qh09TfMgKgi6sRMflDfXq_Uu659cNSCiSpIy6FBxOMXP6VSebHPp0hH_bWZavN49sfLjSakvRUv--VBffKhu2UaPgkvDm__N2u8M0MNsUS1D6wYQKtxfPsSBB1J5k2gPVFlKgT5v1q_0u4vwKwV870RmB0kDzzStCRURcgs0agONGMhpWNXCoU4TU6m22DoWMjhipVgY4KdDRewnnkvnsyXiUbSQzR3EQZTpiGurOuU7OOsKIN3XhHamGyqyr5QdeT8n0FkxV3ssB0nQla25G8lUgGZV8alrucp2sGcsb64l0tj0QuKniFScB5tmX7NMhd-nELbpITmH8elUTJaLllbUkvzdMEoI1IIFNQI8a6p6KQLE_nW3XUBEpzorlOmx63JZcc_NST_JJ5vLrTIVePZGRbfPpn39fUeuVmzI5yK9RCp3L3TdWP3Eyjsu6hx0qJGwqPiMk-zIhfNoj87hUtXGpW_Mk7nSOEUdzIZsF2akNIqiiTBfwmDbk17kVaLpjFFTx4YPz8cILpgZlGbQnnxEFnkFqsuVlsryK3X_QvSDy-Uyl3AQQE4UB15H3Cq3Xb-VOpRdR1FHckI0AHOkbTpiRoxgj76VvG_1G-yhx0eL6ijZ-e4sEDW6HtzJPvQojSNBBOXjXIG9iJe0tVZ5g9D8fisb952PpCEbzceKJeETqYG9-q-ljcvA60CaEoY9WK5wHX2StqrDtr2bNQn3ZHIxEyZQNkvS25afLYA2En2CXrmBiqxlrcgVwY7ki7-ryxkHimQQBJEZjL6X2RGLTUWYajE_k_LQPte-c5kRiNOGHvorJoe-5PSn-nUik1ZERUlAzRlM_t-OWAkoQJq0709SRIp3V3L-q-zmYys0LlnhiNgoxRJFkeYZFdOSCqHppx5qo6jtW3lyTSgJ4jqBom7xaPOz5ivuYEml2qm1PRnm1D8LSHBgNDSX5yUb4hfDgQDqdmm74iI5KP1NPaY3w0OQADwhXAbeeXCH20HErNnS0hB_9Be0pS1ZlwbWlXfTFFmVRQFHuwB93_yvsq-tgpyg66gZtU-SxmOUHmkIWUjDXVWMM9NnqGadGmvFzvqChJweW9KYoDA4AXVTFvL3pM3N5-eMmk5GUJfHuA8rRL_8IGBaEI61Gc-ImnXHATfsKR2Ag5YR3zmbGDXaK59CHdNS2On7P68obKk8Du6chFQD75MHBv5n-X1WchVjzaHVNPFTyL6r4gWQoxA8sB9-MCRNubpeKxpP9ibKlG-l43_YRIoMgwOd8D0xCIbD58O7nY7K1SBTWAG2Kq6jWY_hIshXFyYSydmfwAglfL5VTXMECYOWsVSRiRTkZyfEOUyhg9uGmkMaAbN99fG1QkD7-fJSV_rvrorStfNB784wELa1197l9auO1j39fuzN7FDpS-gCZLXYAhK6OgpuV-1AQFPSnFo4-O07r2fQDL31xSDO-uwcSiM9T3oXnVkiKv8o56U4NlMYoV8e2RpogBOd4iad0RS3qC342UfbRD99p7vdqYeIkAq2kdf4PjrIt_XPJRxnONl6ypf9cHmXRz7CkcHyvtZtFvAgmHXp4ByrClMwtUkxbGkxgZvazU6U372XZQnsCRGTA-eIIUEwwd7fRnYururIl4_ToX-DXCwcs-w2wjS6cMnBd_qeQijQ-_BhmAL71vwe4-aWCh8jyPlJO1RfJZB4KuAHG29GkN24m5tfV8u6Zc6oF07WGC59NxYddgUFulMlkjNd1ZiDxIV7Zqx8UHf2CpyHCUMddByMexl0w_iqTqRqqAqqDuymNChGcTOlrCOX3Fe5Ee_LoXoBRS6Pgjd9OjOQSiMGCCeHU-BN9xPiozislVtPfed8PzBiByNm4J9LlvNz-PlCEDB_NvKornxsfWnjf1FdZtzK9xHu24dJ9gD3EDr1lFa9L-gScz7tAhm4cKb6dqRCakkr4nsnblXLW0-nNeJXAc_ZdiMhmmgzyFOZZ2rpJh1xk0uLQgdbX-UdUsIcvV-MTA8wmVcDQ7VpCuLJdTp27_lXUWhXKzbUSFP8iMQnFCmkKdbRfGz__lZUcN_I6yF7h5qCbQy2dJXBsw44kDVeBg1yh-9b1HjFd8hztTK5RKNmEgP7Ll6p8GksqtDlSdnKCqytkjdVIta3OZAs_sFMOIzltp92kBxtzKEt15oLRn4CBFJZntSn6KZpKvT26onMoG5HgxbK9DuL02SEjB4dCblaB4dhcF8EZCS4DhFtpYYiNu9fNaaT_AxOPL5Ns6n5JixcJ60tbBFpDLun1uawM06M_89Fh4e7wjK1H9JL2W5a-YvumqLZNf8_nFUjW2W9Lz1tp7m4hm4NjisJEeqU7Nqzpbp48aNavklf99JRHvYmi101xp8TrIMkdCMJ51ctX83c8l2FKPQq6ra4MTAX-pRNVHLlg3mNswqO21m1y7v2RrJDXnOq5pSX7RmYyPYlutUwU25jhrIX5_dX7GMmZRl-iodD1sqOpzWmE8PpZgmwC_aRQPz76C5UC7APCiX893X8AUvSmQYeTnOYOxYwl44zjWi_5K8JdiNKLFTQRZ5VZXNVniqBIb6fhrqKQodKqbPFAkQQSi3YAk52SwS5l5iYrYsM1adeRxs_-6dg1wbNmxkVzgZUjFf20f_9llAhTwc5h3yDGCqNPH8u8z01rffcSeHYT4nPR6blJuD4_9aFb1grgmJRhxhx20WTdmcZXJjSdFtHnplFShQEgBj7KxVi-leb8R06dvZpbAok9flyniEBxeFhxB1FWBF9D6Id8-qv51y6oRZXj287Ri5OymQGK1bKyB0Pu8Ysa59whPTWk-y7m1Re0UNfgDgl1qLTCZ3WHKE-1XIFph6cV8MRVmdPRmWfFEiFfjGzIGjvFKWoJsF0U8qUvRIU_4hN9TOASsQEaVgHnMUvDFdNqKKAP5JkDSy3RgfyARPndv2-vsHu9fuu1rNWM9mg3rvbC95OZcvwt0UIa5tiYnYP9aHgvOatCxLIypv62JpgeU-liqUd0IkaRYTcJWWXuLRkfu2Gv2OakQFGkwC8drQ0IysW5W3rWq-C1giYR4UnHhHyR1UenGH38rIB1faC7nOxYsmsOrJszVizUX9tomQEhpknKqrPGcbsWBxH53gb1OJmEy4wTPAJB6QRqUKKJRB_SBi1AfwEsmtAOCgd9jrBjniQlaOjocpyH9LqQG9kduxLbbLO_8Kle7PmIo4YyVFKTp5wkhHUiisEeaN7zOyurhC-RgVjdSRK0aINwDo2a8DrPA8AXKzBH546UKLHRKG2wePNQpI5Qy1qk1yXoAIynKCF7k9SCWreUyGe4T_UUxwXSUXrCFg3o1_CZlq8K8SRtHI91ViyhdAHj5K40JgdXO3vQfDE71_suYOJeH9Z2YchtecNLXUABxcLuCqaZq0PMarsjHlSll7no4RyTIg=="}],"stop_reason":"end_turn"},"type":"assistant","uuid":"96f7e9e6-03db-4553-bc54-a10c6f6ccf71","timestamp":"2026-04-28T08:35:12.969Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"f9325b9a-3080-499d-9949-f39c352dc695","version":"2.1.118","gitBranch":"main"}
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{"parentUuid":"96f7e9e6-03db-4553-bc54-a10c6f6ccf71","isSidechain":false,"message":{"id":"resp_0df79b3be85100e60169f0713490e48191a4e9de9cfcd9a4fb","type":"message","role":"assistant","model":"gpt-5.5","stop_sequence":null,"usage":{"input_tokens":4859,"cache_creation_input_tokens":0,"cache_read_input_tokens":31232,"output_tokens":2111,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"},"content":[{"type":"text","text":"可以这样定位：**不要把它包装成“已经有很多用户的开源项目”，而是包装成“面向 Codex power users / agent builders 的早期基础设施项目，解决 Codex 历史不可检索、上下文难复用的问题”。** 你的优势不是知名度，而是和 OpenAI/Codex 生态的战略贴合度很高。\n\n下面给你一版可以直接改的申请材料。\n\n---\n\n## 项目一句话介绍\n\n中文：\n\n> `cxs` 是一个面向本机 Codex session 日志的渐进式检索 CLI，帮助开发者和 agent 从历史 Codex 会话中低噪音地找回上下文、命令、决策和修复路径。\n\n英文：\n\n> `cxs` is a progressive retrieval CLI for local Codex session logs. It helps developers and agents recover useful context, commands, decisions, and debugging paths from previous Codex sessions with low noise.\n\n---\n\n## 项目介绍草稿，适合申请表\n\n英文版：\n\n> `cxs` is an open-source CLI tool that turns local Codex session logs into a searchable, progressive retrieval layer.\n>\n> As developers use Codex more heavily, valuable context accumulates inside past sessions: debugging steps, commands that worked, architectural decisions, failed attempts, and project-specific knowledge. Today, that history is difficult to reuse. Users often remember that “we fixed this before” but cannot efficiently find the exact session or relevant range.\n>\n> `cxs` addresses this by indexing local Codex sessions into SQLite FTS and exposing a workflow designed for both humans and agents:\n>\n> `status -> sync --selector -> find/list -> read-range/read-page`\n>\n> The project is intentionally local-first and low-noise. It does not upload session logs by default, does not run as a daemon, and does not return entire conversations unless explicitly requested. Instead, it gives users and sidecar tools a practical path from broad recall to focused context expansion.\n>\n> The long-term goal is to make Codex session history reusable infrastructure: a retrieval engine that improves developer productivity, supports agent workflows, and helps the Codex ecosystem better preserve and reuse useful work across sessions.\n\n---\n\n## 更强调对 OpenAI / Codex 价值的版本\n\n> `cxs` improves the practical usefulness of Codex by making prior Codex work reusable.\n>\n> Codex sessions often contain high-value development context, but that context is currently hard to search, filter, or pass back into future agent runs. `cxs` provides a local retrieval engine for this missing layer. It helps users find previous fixes, recover commands, inspect relevant conversation ranges, and build sidecar workflows around Codex history.\n>\n> This is valuable to the OpenAI ecosystem because it makes Codex more sticky and more useful for real software engineering work. The project explores an important product surface around agent memory, session retrieval, local-first developer tooling, and progressive context loading. Even though the project is early and currently maintained by one developer, it directly targets a pain point that becomes more important as Codex usage grows.\n\n---\n\n## 关于“项目没知名度”怎么写\n\n不要写：\n\n> This project does not have many users yet.\n\n可以写：\n\n> The project is currently early-stage and primarily maintained through direct dogfooding. Its current focus is correctness, retrieval quality, and a clear CLI workflow before broader promotion.\n\n或者：\n\n> Adoption is still early, but the project is built around a concrete recurring need observed from heavy Codex usage: recovering useful context from previous sessions without loading entire transcripts.\n\n这样比较诚实，但不会显得弱。\n\n---\n\n## API 额度使用说明\n\n关键点：**不要假装当前项目已经依赖 OpenAI API。** 这个项目现在核心是 local SQLite FTS / Codex session retrieval，所以更好的说法是：\n\n> The core CLI will remain local-first and usable without an API key. OpenAI credits would be used for optional development, evaluation, and experimental features that improve retrieval quality.\n\n英文草稿：\n\n> The core `cxs` CLI is local-first and does not require OpenAI API access for basic usage. Sponsorship credits would be used for optional development and evaluation work around Codex session retrieval, including:\n>\n> 1. **Retrieval evaluation** \n> Use OpenAI models as judges to compare search results, read-range quality, and ranking changes across anonymized or synthetic Codex session fixtures.\n>\n> 2. **Session summarization experiments** \n> Explore optional model-generated session summaries, query-focused summaries, and compact metadata that can improve session-level recall.\n>\n> 3. **Reranking and query expansion prototypes** \n> Test lightweight LLM-assisted reranking or query expansion for cases where keyword FTS is insufficient, especially for broad or ambiguous developer queries.\n>\n> 4. **Documentation and examples** \n> Generate and validate reproducible demos showing how agents can use `cxs` to recover prior context before starting work.\n>\n> 5. **Privacy-preserving design research** \n> Evaluate which parts of retrieval can remain fully local and which optional model-assisted workflows provide enough value to justify explicit user opt-in.\n>\n> The goal is not to make every `cxs` command API-dependent. Instead, credits would help improve the quality of the open-source retrieval engine and validate optional AI-assisted workflows that could benefit Codex users and agent builders.\n\n---\n\n## 如果申请表问 “How will you use the credits?”\n\n可以填这个精简版：\n\n> I would use the credits to improve and evaluate `cxs`, a local-first retrieval CLI for Codex session logs. The core tool will remain usable without API access. Credits would support optional development workflows: model-assisted retrieval evaluation, session summarization experiments, query-focused summaries, reranking prototypes, and documentation examples for agent workflows. This would help validate how Codex session history can become reusable context for future coding agents without making the default user experience cloud-dependent.\n\n---\n\n## 如果申请表问 “Why is this useful to OpenAI?”\n\n可以填：\n\n> `cxs` targets a practical gap in the Codex workflow: valuable context accumulates in previous sessions but is difficult to retrieve and reuse. By making Codex history searchable and progressively readable, the project can improve retention, productivity, and agent continuity for heavy Codex users. It also explores an important open-source design space for local-first agent memory, retrieval, and sidecar tooling around Codex.\n\n---\n\n## 如果申请表问 “Who uses this?”\n\n可以诚实写：\n\n> The project is currently early-stage and primarily dogfooded by its maintainer. The intended users are heavy Codex users, agent builders, and developers who work across many long-running coding sessions and need to recover previous context efficiently. The project is being published as an npm package and designed as a CLI/retrieval engine that other sidecar tools can build on.\n\n---\n\n## 推荐申请叙事\n\n你这类项目最适合走这个叙事：\n\n1. **Codex 使用越多，历史 session 越有价值。**\n2. **现在这些历史很难检索和复用。**\n3. **cxs 把它们变成本地、可控、渐进读取的 retrieval layer。**\n4. **这能提升 Codex 的长期价值和 agent continuity。**\n5. **API 额度不是用来堆功能，而是用来做 eval、summarization、reranking 实验，帮助项目变得更可靠。**\n\n如果你把 OpenAI 申请表的具体问题和字数限制贴出来，我可以直接帮你改成最终可提交版本。"}],"stop_reason":"end_turn"},"type":"assistant","uuid":"35ff7031-5218-4f32-8f85-5b0a0ed200a5","timestamp":"2026-04-28T08:35:31.457Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"f9325b9a-3080-499d-9949-f39c352dc695","version":"2.1.118","gitBranch":"main"}
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{"parentUuid":"537c8c36-8eea-4aa6-a5bb-5c1b0a44edc2","isSidechain":false,"message":{"id":"resp_0fb276840403b0620169f071d11f008191bce3cc3bd90031b6","type":"message","role":"assistant","model":"gpt-5.5","stop_sequence":null,"usage":{"input_tokens":0,"output_tokens":0},"content":[{"type":"thinking","thinking":"**Considering markdown creation**\n\nI’m thinking about how to create a temporary markdown file in our repo, maybe at `/tmp/cxs-openai-sponsorship-500char.md`. Should I ask if they prefer it within the project instead? To prevent clutter, using the `/tmp` location seems best. I should keep it simple without a task list. Since this is related to an application, English fields seem necessary, but maybe including Chinese could work too. I should check the character count rules for clarity.","signature":"gAAAAABp8HHSvrjHQGo0_Ja0fG-r78QMyk9qaL3CAI_Is0vVGAQqU7MScGI09M1TGAoi9a5BbI2jlnfe233w8MggZ6loLO6G1PV6lygMnhkNS4sq_mRnFvZOga2nqkyUs7Q0EnqWBUT7KS5x5wEPnJ8H_MxIjSqgnAU6tOdgY1CSkVT2bJZ-klh1lRgl8tP8bHqt05HmNX3vXIzw7dY7FpPGNJPEvQBpYVkWzA_g7hpgqo_Pj811q0_CV1SOV2gm-MxNqq86kdzwOLy_TbOLdUo6zPoNPd-hSjtsw3F0qoD8Sz175sRferLRbJoAIdeb4iVDps65jYqsU-50mojug1CzFOKS2XBDSpz-v1MSpkbzk3psaO728Tbeae1s18_qmRKM_vWYUeBFHp0fOsSu7iB5qjxd66REs1lZaD4b2oV3RJpT1rS-KvWLuc7M0wD2eV_MUqpehmeU5ZeMOLzlY1A1b7NPUufByESfeIhpNt4Q_CRKNbXCt8HiWfXKADZZvNR59rpivwuhRCZbZXenBy5yxY4qwwTSQkzc4R44h93iLZgafpX7ymEAWtGVuTDeVlPEq97icMqIKSbGNlEGK0p4rCDhAOQPtq097ODfEL0og36BJIbJ8zMQwEITYOeOp_kAKpTNH1N5hcfWRrksNdRf_4FdP8yx4X43mhvXFL_s_i2Ti9kpJ3j7jUAm46nC0A5YOXnyvUK29qEJNKS7r45VNuQS818VTxLl6KcDUu203YeMGl2geF58O7ojMgwuXDq1pMVwlQw_mO6WMgDY-n8D_cC-yxsWanGFT6FRulJVGszMv7mwZKoJOW6GGoAbn0a6xi0GAaL1snR7hVRsQfAHu0z95PZVdihfe7WkPH7NJbI7_YKWnwLzRoA-Dus1HO05DthN9VP7TXy1GFKMgLToyw-yUc6Tdg=="}],"stop_reason":null},"type":"assistant","uuid":"82ea4fd5-b8da-4375-9ff5-fdf46250b438","timestamp":"2026-04-28T08:37:47.204Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"f9325b9a-3080-499d-9949-f39c352dc695","version":"2.1.118","gitBranch":"main"}
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{"parentUuid":"82ea4fd5-b8da-4375-9ff5-fdf46250b438","isSidechain":false,"message":{"id":"resp_0fb276840403b0620169f071d11f008191bce3cc3bd90031b6","type":"message","role":"assistant","model":"gpt-5.5","stop_sequence":null,"usage":{"input_tokens":0,"output_tokens":0},"content":[{"type":"thinking","thinking":"**Calculating character counts**\n\nI’m considering using markdown for each field and its character count. It's important to ensure that each response stays under 500 characters. To calculate character counts, I might do this manually or use Python, possibly through Bash. It could be efficient to write the markdown first and then run a Python or Node script to verify the counts. I just need to make sure the process flows smoothly!","signature":"gAAAAABp8HHcf1vPFOCF8Ihq_-vwpqal1oefJhfREHIKRdA4Nl1eJH5SFifcMkaijxGzAqem1VOv6FZ4oGEdtbKVrLW8oZB1I-cpD6-5EQFgfCs3EAzurFFxXWeJyah7tENi1LfeuPJFkyDIlTVKTgZY5iBPaZ-sywwBIJnQPZJ2xh0B7ZsQFS3tUH8jPCwhkncs7r7O6dz-az_KOFOsYYJFM0JSvOBy0hxM08zndjw0phqz-25DI2713LjAkiJxumWzpGyxqz0JxQm5ztL4LsPIOMKH3O0v75RSeFBuo9hcCoUlGPU8QZpZQDFqh3JC9QQ7FOBP4eLPzLt0CtS89bDMaECazAPvBbqMTiZAbQgO265AmtbBroKj0ZRV6BC1QIFbge8V7qvZDIKJHq-4--7u77-atUeaqTFeEAkWE398ZtZ5cvszmPcWx11UkK3vE4e7wfidCfgZAkGm2bqzISZ3TY2vJlexzxkryfAFe0h8R30KGrOzz5Z2XcbLbdkFHWf0MSSPBZlfdjpD_CcYW00i_oKJ0VW-DfbRyOSeuWbVGhJOMlX3bysyGcFVQGp4wNLaE4xnMhCCNlScABmEge0oO_nrJIyel_mXLEcEZtvZEVQwdAwSN3WKqDkqnBpTQkK1mmuk86UMNCZMG_tVQ9cHweclTUFqDrEQXpZcSOxtGkThZ3rR9JUhc7h2qCkyf8HE9_Ordjl4PR033rjCQfS_jIhEAdvnJpFCBSgAwkhsfXwkbkg_ghfeMzPQKK6lPpRV9E2yWpKRArcifoVO9jcgqN9DgQI2RpjD1OS-J9aYpPpJeVqa9BHEZqYZb0FmmMERya0an8Bh9cliuce3t4zTEMu-Pin_Q4gMBNE1E3pT3v_fLpOJ4OLigFEFy6xjDS1xHuPWiEyxQoCLVPWePmgvmr6iIGIuz8u_nfn1TbzGf_zQyQpOtAEtCYJKEtXtwIFLK00F5RmSU1z1BrBqfFNmqJU-tTZCgRDtlNOEMDvKJN14s09qJghZfo_EnrB4NrgV0TepWphSDjG6BKRD3YwkJHFL4aI26ul6wQirQhkOjkAR420itfod4_wCrql_TVqrWkhjH3DOa6-G-aW62Bn0IIZPIMcWj9bWrmhe9s34ucC0d3G74IzfBIqB7OCr-Z6m3Ktopz5BUK4sPZv4Lbo8-FhFENPmcLIrQKrPcoUHoKOTeMGfwK_TMGBUa-ja5bLyy1D01axah2fJ6F7Q5YfR87ljpdWSrwbvRsD4xurOtk5wmzuwgx13vGP8pwvRrjWaXQCd8Qzu3W9bwXrcV-6aMPdA1LnTKkfnNmQvaH6uXcxD2J3tk_K7-cEOtwA9iT0UzTrtjb-VNo_e9Sz0_Qvpuuz5JYiTtkR89qpqXjxFEjuF2gpI9RLMWi9YGbDj9FX7K0A_Dq2GEDLLA38inaYzrPV0Gd4TPjX_KRyENyaAc8UR_dJWup9ZO9GdB7JFZY80uFOP4xcw3oz-8-3EupcL_ArK96fi6Bn_JqjqNmoImdKT5NNkWsZgmxtxd2vz_joALesJvBbDzO3Q2vKwqOD_PftJhDgmrPVIstHrllmwyizqtvkBvqZzJ_HjT8t_JZE_-rQYmIegFqahsme4cJ_WcUAEP43tUMQu8C10bUQrg_SzK22EId7uvQWa8TQrvgiXqTDgXRvI_09VGpi6V9wXb_NeQvQ1c9u8Uu98ZHPtllc1pHgxC5C_Q-NewUV3psdLipVoXnXC0BgMuN1SN061o68IVVmY6oN4YNhKB6rpN_vd4uFndiBboNAKBrtmEVzkq27ONOf-yBCixd-TD18nczMZhzcy8m6Ic4QyN7Jmeanis5EFYJ1RXysiSdWMWbrlMkOyc0tdx7Bd6QJaSiFLCn882jXSfxO-voI2DnkPKzZnrIX8oAXeAl7vPILsK8kvaa9FBrUxkGRwhMHqiSpAsrsM0DQF-pNXi_jmiCMX8FqCZFX26q_93tpi_38vMxmyirEXpQn59i153ohMg4uGrqa0_PU1t8a4nNxPPdD7_iGxUVlZVYRbOIjFRJa7bSWbCCrG9rF6XlVr3SM10JkXMf3yp0Z2tvhfvajsS36cXY_owE7Py5fn842Ou9bu8AbecpAR7azdfCq8Oeaotatx2bDkArtm_6hsOsL-zHwY9UMtrdaqqg6EX1-fTnMoFoR2b77bogd0KhtVdRJ7Hx7Dm6KSgJjf-s3vGOcYY17tr_7-CWHMR7Tln_HwF-yvahQvg8Bw1y4ZruHaFqnX-jwIbZrmDnydiDTiEs_T_wkKTYjFNyGXUjucPU0Dn8tEgB2-Gco7ZYyhvb2n0wtFfUz-Fk_AQU-8p08O9mDaX2SE91lDw3P6qQmsrdL8LHN--givOKUtWXbyHotY0NepHwrQbOw7ijHNTr5uJj8-GFZnXEgmiLJdLVXrXKqBn-kH1_ITgS_asMbGAbY0eeH-IvuYvLrSnC3Gb5PH-zCZ4E4-HcFgppM1JXQ6n91PFALgfY3i4V08DqjWYUBIZBqARS-nEj-rqvRGFccdnW0B3S3dCnDN1dK5jraHi8ZLIcD63NEBn9d0eOdQwvrRoGWYCTXVTFtRr6jJd3GjRQH0zQtUXh08KxWp_o1CNE3Nz3OMSXXO4eivPKcV-sd6p4kjLgo_ogvswbKkdnDWduhHpi_eBlHzjVySHJUUfmpsMGBAjiG0v0UNzIb9jyaIVw_Lc2fABkk3u8KRv2iEPXiaHIG0dO8ME9IjaaSCqJ7C5-wUxacdLsdDCOQVjEWoSxcKmjW1GEmsEhCDAj1jR__oaLcok2G8KqgDL2_cXei81qb8DyvOBWfGR9bMbh3h9qjmkTXrpa4PgOY2apN7jVPplpa_eixdRbaab_OqCc_Utpa_ox07AkmQGDj4sO2hLt6Yvcnf66_78hc8MWtxgbqcoA4ZfFaQ5HQG7301VS37_dwx-ZTzJ24AiYYZPzbHL0i8v4Hu0xSDJuwTmJdIi-bd9c733QDmHEm9tpGp-sLa9HtG23OsdqRV3kj_HEEdO4p6hsm48aVXt5uDBjweR6MoQWn5REdp4BmPpQ9N3b3DF44HjkCKRgOM4etXM5yBCFZ5rEbVSfGJvlLyBtCTMzZt2L83K8CQYfw1hXBoOGjpiOMq9w0_lAaNJpC_Gok8WbFzfRmy0VGqRNaOqQPmjrTAyKvA20wn7fm3jZTRxV2GmBpSEE12kysGSznjxsTk8kU9EjYFatpLkVzSPS1lMklC5UPZz0ClxuOwOtimOHDcrzarn3bTD097GLIZgNXkwNCXUmsqUwS1vCWqEUhCCa7FNohPSnRzIMVkmxGrzWW0sLhvfqlJTETuy9Q7vmWi_njWlGvNM78cwItrh2LK0WUCV260qmHUd7kKQQzOfSxczfpTq8u5EyRvISdBxwAw07Vy32CFqtOcPViRESaLUmapdmsZbHtFCsF2d1JU1-c0C9YRzbfurm_Wi7EbigxV2l84WZ7Bo3UpCe4HQvCGYCCUKLzx-6Gwl1_zTdKL53rDqZck9ovyE0yhW2tb4tO3IlqxXfCAJwfXJP6rDhdFAKKJO4v9xHjtc_iQQ5BZlDdBUszTQSHGSmnxgovN8L5HOhzSRZdV475-pdnkOJX1lK9VBETgfLN-sti_TZsn0Wv-myPM0Ej3lv6TVRJdRIDpg9ii6LvI5c5dxW2b8RiLTVHaBlVBpJC0glLe9GoPxALsMMbp84cQ15mDuRS1iLczIVFbmrMG-UyrV1eIKiGRZ1Kr7q31dM7-eKWsq_e4fitHWycYtNjil8pQXheqnLS6xWWRcS-OjsJJCtgQQmjpuMGPpMW35jERP3OUW3AO-CiVWg28tNPTRtlhIGjh7DziznalToDD4sdwN5go8J9iXfYs1Q0PnpD7Nb3A6oyhCfZ5bS87jhK53_TQxLYjLV6sAZAL-xEmQSmWEih23NkuMqWZgp1U8MjDdcUQxvu6MUVvWTN9oa7gTQiruIsf"}],"stop_reason":null},"type":"assistant","uuid":"9758f7bc-a3d6-454d-8ce6-4a33d22b651c","timestamp":"2026-04-28T08:37:48.400Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"f9325b9a-3080-499d-9949-f39c352dc695","version":"2.1.118","gitBranch":"main"}
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{"parentUuid":"9758f7bc-a3d6-454d-8ce6-4a33d22b651c","isSidechain":false,"message":{"id":"resp_0fb276840403b0620169f071d11f008191bce3cc3bd90031b6","type":"message","role":"assistant","model":"gpt-5.5","stop_sequence":null,"usage":{"input_tokens":0,"output_tokens":0},"content":[{"type":"text","text":"我会把申请文案整理成每项不超过 500 字符的临时 Markdown 文件。"}],"stop_reason":null},"type":"assistant","uuid":"a623a7cf-88a7-42a6-a0f6-7a3ad0e602cc","timestamp":"2026-04-28T08:37:48.720Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"f9325b9a-3080-499d-9949-f39c352dc695","version":"2.1.118","gitBranch":"main"}
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{"parentUuid":"a623a7cf-88a7-42a6-a0f6-7a3ad0e602cc","isSidechain":false,"promptId":"2b282ca2-2732-470d-babe-a21c2b531389","type":"user","message":{"role":"user","content":[{"type":"text","text":"[Request interrupted by user]"}]},"uuid":"675d7705-67e5-4cef-bd5c-57094abf3560","timestamp":"2026-04-28T08:37:49.417Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"f9325b9a-3080-499d-9949-f39c352dc695","version":"2.1.118","gitBranch":"main"}
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{"parentUuid":"675d7705-67e5-4cef-bd5c-57094abf3560","isSidechain":false,"promptId":"2b282ca2-2732-470d-babe-a21c2b531389","type":"user","message":{"role":"user","content":"<command-message>0g-hk</command-message>\n<command-name>/0g-hk</command-name>\n<command-args>发布一个</command-args>"},"uuid":"11e0b6bb-1135-4137-a4cd-cee99799b16b","timestamp":"2026-04-28T08:37:49.427Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"f9325b9a-3080-499d-9949-f39c352dc695","version":"2.1.118","gitBranch":"main"}
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{"parentUuid":"11e0b6bb-1135-4137-a4cd-cee99799b16b","isSidechain":false,"promptId":"2b282ca2-2732-470d-babe-a21c2b531389","type":"user","message":{"role":"user","content":[{"type":"text","text":"Base directory for this skill: /Users/envvar/.claude/skills/0g-hk\n\n# 0g.hk\n\n0g.hk 是“无账号、curl-friendly、子域即资源”的短链 / Markdown 笔记发布服务。Cloudflare Worker + KV，丁丁本人维护。\n\n- 主域：<https://0g.hk>\n- 源码：`/Users/envvar/work/repos/poke/n-chen-rs`（改产品行为 / 渲染 / 保留名都在这里 + `npm run deploy`）\n- 已经线上：内容支持 Markdown 渲染（`src/markdown.js`）\n\n## 触发场景\n\n- “帮我把这篇 markdown 发到 0g.hk / og 上”\n- “生成一个 0g.hk 短链跳到 ⟨URL⟩”\n- “foo.0g.hk 的内容改一下” / “续个期”\n- “我之前发过哪些 0g.hk？” / “foo 的编辑密码是啥？”\n\n## 必读约束\n\n| 项 | 值 |\n|---|---|\n| 内容 | text ≤ 8KB；URL ≤ 2KB |\n| 子域名 | `^[a-z0-9]([a-z0-9-]*[a-z0-9])?$`；空格/下划线自动转 `-`；≤ 63 字符 |\n| TTL | `1h` / `1d` / `7d`，默认 `7d`（**最长 7 天**） |\n| 续期 | `POST <sub>.0g.hk/?edit=<token>&renew=1`，重置到期窗口 |\n| editToken | **只在创建响应里返回一次**。丢了就改不了 → **必须立刻落到 `links.jsonl`** |\n| Rate limit | 创建 / 编辑 10 req/min/IP（429 时退避） |\n| 保留名 / 品牌词 | 创建前先 `GET /exists?n=<name>` 校验，避免无谓往返 |\n| Markdown | 标题、列表、引用、围栏代码块、行内 `**bold**` `*italic*` `~~strike~~` `` `code` `` `[text](url)` 都支持 |\n| 笔记 vs 跳转 | 子域被访问时，若内容**首行**像 URL 就 302。想强制按笔记看：访问 `/raw`，或正文首行写非 URL 文字（标题就够） |\n\n详细路由 / 错误码 / 元数据 header / 完整保留名与品牌词 → 读 [`references/api.md`](references/api.md)。\n\n## 记忆库：`links.jsonl`\n\n位置：`~/.agents/skills/0g-hk/links.jsonl`，权限 `600`（已设）。每行一个 JSON 对象，append-only。\n\n### Schema（每行）\n\n```json\n{\n \"event\": \"created\",\n \"name\": \"my-article\",\n \"kind\": \"text\",\n \"short_url\": \"https://my-article.0g.hk\",\n \"raw_url\": \"https://my-article.0g.hk/raw\",\n \"edit_url\": \"https://my-article.0g.hk/edit#t=AbCd...\",\n \"edit_token\": \"AbCd...\",\n \"ttl\": \"7d\",\n \"created_at\": \"2026-04-26T12:00:00.000Z\",\n \"expires_at\": \"2026-05-03T12:00:00.000Z\",\n \"content_length\": 234,\n \"target\": null,\n \"title\": \"对 IME 调研笔记\",\n \"source\": \"thread-xxx\",\n \"tags\": [\"draft\"],\n \"recorded_at\": \"2026-04-26T12:00:01.000Z\"\n}\n```\n\n字段约定：\n\n- 服务端字段（`name / kind / short_url / raw_url / edit_url / edit_token / ttl / created_at / expires_at / content_length / target`）直接来自创建响应，**不要改名**。\n- 本地字段：`event` (`created` | `edited` | `renewed` | `deleted`) · `title` · `source` · `tags` · `recorded_at`。\n- `event=created` 是源记录；编辑/续期时 **append 一条新行**，不覆盖原行（保留审计轨迹）。要查最新状态时取 `name` 相同里最后一条。\n\n### 安全\n\n- `links.jsonl` 含明文 editToken。文件权限保持 `600`。\n- `~/.agents/` 不在 git 仓库里（已确认），无需 .gitignore。**别**手动把这个文件复制到任何 git / 云盘 / 共享位置。\n- editToken 只能编辑/续期单条短链，不是任何账号密码 — 风险范围天然有限。\n\n## 工作流\n\n所有命令默认 `LINKS=\"$HOME/.agents/skills/0g-hk/links.jsonl\"`。\n\n### A. 创建一条短链 / 笔记\n\n#### 1) 校验名字（用户给了自定义名时）\n\n```bash\ncurl -sS 'https://0g.hk/exists?n=my-article'\n# {\"valid\":true,\"exists\":false} # 可用\n# {\"valid\":true,\"exists\":true} # 已占用 → 先 grep links.jsonl 看是不是自己的\n# {\"valid\":false,\"reason\":\"reserved\"} # 系统保留名\n# {\"valid\":false,\"reason\":\"brand\",\"term\":\"apple\"} # 含品牌词\n# {\"valid\":false,\"reason\":\"invalid\"} # 格式错\n```\n\n如果 `exists:true`，先在记忆库里查：\n\n```bash\njq -c 'select(.name==\"my-article\")' \"$LINKS\" | tail -1\n```\n\n命中就直接编辑（见 B），没命中就换名。\n\n#### 2) POST 创建（Markdown 走 stdin，避免 shell 转义灾难）\n\n```bash\nNAME=\"my-article\"\nTTL=\"7d\"\nTITLE=\"对 IME 调研笔记\" # 可选；仅落 jsonl，不发服务器\nSOURCE=\"$(date -u +%FT%TZ)-thread\" # 可选；记上下文\n\nRESPONSE=$(cat <<'MD' | curl -sS -X POST \"https://0g.hk/?n=${NAME}&ttl=${TTL}\" \\\n -H 'Content-Type: text/plain' \\\n -H 'Accept: application/json' \\\n --data-binary @-\n# 对 IME 调研笔记\n\n正文段落，**支持 Markdown**。\n\n- 列表项 1\n- 列表项 2\n\n> 引用块\n\n```bash\necho \"也支持代码块\"\n```\nMD\n)\n\necho \"$RESPONSE\" | jq .\n```\n\n名字省略 → 服务器随机分配 6 字符；URL 短链就把 body 换成目标 URL。\n\n如果走非交互参数化（agent 编排），用 JSON body 更稳：\n\n```bash\nRESPONSE=$(jq -n --arg c \"$CONTENT\" --arg n \"$NAME\" --arg t \"$TTL\" \\\n '{content:$c, name:$n, ttl:$t}' | \\\n curl -sS -X POST https://0g.hk/ \\\n -H 'Content-Type: application/json' -H 'Accept: application/json' \\\n -d @-)\n```\n\n#### 3) 处理错误\n\n失败响应（HTTP ≥ 400）：\n\n```json\n{\"ok\":false,\"error\":{\"code\":\"name_taken\",\"message\":\"...\",\"details\":{\"name\":\"foo\"}}}\n```\n\n常见 code → 处置：\n\n| code | 处置 |\n|---|---|\n| `name_taken` (409) | 先在 `links.jsonl` 查；不是自己的就改名 |\n| `brand_blocked` (400) | `details.term` 是触发词，改名（参考 `references/api.md` 完整列表） |\n| `reserved_name` (400) | 系统保留名（admin / raw / edit / api / ...），改名 |\n| `text_too_long` (413) | 内容 > 8KB；裁剪、拆条，或先放 GitHub Gist 再短链跳 |\n| `invalid_ttl` (400) | TTL 只能 `1h` / `1d` / `7d` |\n| `rate_limited` (429) | 退避 60s（响应里有 `windowSeconds:60`）后重试 |\n| `unsafe_target` / `content_blocked` | 内容被安全模型拦；换内容或跟丁丁确认 |\n\n失败时 **不要** append jsonl。\n\n#### 4) 立刻 append 到 `links.jsonl`（**必做**）\n\n```bash\nLINKS=\"$HOME/.agents/skills/0g-hk/links.jsonl\"\n\necho \"$RESPONSE\" | jq -c \\\n --arg title \"$TITLE\" \\\n --arg source \"$SOURCE\" \\\n '{\n event: \"created\",\n name: .name,\n kind: .kind,\n short_url: .shortUrl,\n raw_url: .rawUrl,\n edit_url: .editUrl,\n edit_token: .editToken,\n ttl: .ttl,\n created_at: .createdAt,\n expires_at: .expiresAt,\n content_length: .contentLength,\n target: .target,\n title: $title,\n source: $source,\n recorded_at: (now | todate)\n }' >> \"$LINKS\"\n\nchmod 600 \"$LINKS\"\n```\n\n返回给用户：`shortUrl`、`expiresAt`、（如果用户在交互场景）`editUrl`。**不要** 在 chat 里显式贴 `editToken` 字符串 — 用户从 `editUrl`（hash 里带 token）回去更安全。\n\n### B. 编辑 / 改 TTL / 续期已有短链\n\n```bash\nNAME=\"my-article\"\nTOKEN=$(jq -r 'select(.name==\"'\"$NAME\"'\") | .edit_token' \"$LINKS\" | tail -1)\n[ -z \"$TOKEN\" ] && { echo \"no edit_token recorded for $NAME\"; exit 1; }\n\n# 改内容（窗口重置为 now + ttl）\ncat <<'MD' | curl -sS -X POST \"https://${NAME}.0g.hk/?edit=${TOKEN}\" \\\n -H 'Content-Type: text/plain' -H 'Accept: application/json' \\\n --data-binary @- | tee /tmp/og-edit.json\n# 新版标题\n\n更新后的正文…\nMD\n\n# 改 TTL（保留内容，重置窗口）\ncurl -sS -X POST \"https://${NAME}.0g.hk/?edit=${TOKEN}&ttl=1d\" -H 'Accept: application/json'\n\n# 纯续期（内容、TTL 都沿用，仅重置窗口）\ncurl -sS -X POST \"https://${NAME}.0g.hk/?edit=${TOKEN}&renew=1\" -H 'Accept: application/json'\n```\n\n编辑/续期成功后 append 一条事件行：\n\n```bash\ncat /tmp/og-edit.json | jq -c \\\n --arg event \"edited\" \\\n '{\n event: $event,\n name: .name,\n short_url: .shortUrl,\n ttl: .ttl,\n expires_at: .expiresAt,\n content_length: .contentLength,\n recorded_at: (now | todate)\n }' >> \"$LINKS\"\n```\n\n（续期就把 `event` 设 `\"renewed\"`。）\n\n### C. 查“我发过哪些 / 哪些快过期 / 编辑密码是啥”\n\n```bash\nLINKS=\"$HOME/.agents/skills/0g-hk/links.jsonl\"\n\n# 全部创建记录，按时间倒序，表格输出\njq -c 'select(.event==\"created\")' \"$LINKS\" \\\n | jq -sr 'sort_by(.created_at) | reverse | .[] | [.created_at[0:10], .name, (.title // \"\"), .short_url] | @tsv' \\\n | column -t -s $'\\t'\n\n# 按标题模糊找\njq -c 'select(.event==\"created\" and (.title // \"\") | test(\"调研\"; \"i\"))' \"$LINKS\"\n\n# 按子域名精确找最新状态（创建 + 后续编辑/续期 都在）\njq -c 'select(.name==\"my-article\")' \"$LINKS\"\n\n# 24h 内会过期的（fromdate 需要 ISO8601，0g.hk 返回的就是）\njq -c 'select(.event==\"created\" and ((.expires_at | fromdate) - now < 86400) and ((.expires_at | fromdate) > now))' \"$LINKS\"\n\n# 拿某条的 edit_token（取该 name 最早一条 created；后续事件不带 token）\njq -r 'select(.event==\"created\" and .name==\"my-article\") | .edit_token' \"$LINKS\" | tail -1\n```\n\n### D. 读取已有短链的当前内容（不靠记忆库，问服务器）\n\n```bash\ncurl -sS https://my-article.0g.hk/raw # 纯文本原文\ncurl -sS -H 'Accept: application/json' https://my-article.0g.hk/ | jq . # 元数据 + content\ncurl -sSI https://my-article.0g.hk/raw # 仅 metadata header（X-Expires-At 等）\n```\n\n## 选名小抄\n\n- 文章短链：用语义名（`note-XXX`、`pm-review`、`mac-mcp-debug`），不要用品牌词或保留名\n- URL 短链：用动词或人话（`go-tts`、`see-this`、`watch-cn-trip`），别用 `link` `url` 之类的弱名\n- 一次性 paste：省略名让服务器随机给 6 字符\n- DNS label 友好：纯小写，必要时 `-` 分隔，不超 63 字符\n\n## 维护\n\n- 改产品行为（保留名、TTL、Markdown 语法）→ 改 `~/work/repos/poke/n-chen-rs/src/*.js` 然后 `npm run deploy`\n- 改本 skill 触发词 / 工作流 → 改这个文件\n- 备份记忆库：`cp ~/.agents/skills/0g-hk/links.jsonl ~/.cache/og-links-$(date +%F).jsonl`\n\n\nARGUMENTS: 发布一个"}]},"isMeta":true,"uuid":"dd392acb-05d4-47b6-8daf-4da811f0ea4c","timestamp":"2026-04-28T08:37:49.427Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"f9325b9a-3080-499d-9949-f39c352dc695","version":"2.1.118","gitBranch":"main"}
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{"parentUuid":"dd392acb-05d4-47b6-8daf-4da811f0ea4c","isSidechain":false,"attachment":{"type":"command_permissions","allowedTools":[]},"type":"attachment","uuid":"b5e8c13c-de7a-4470-82fb-fecc4bfc178e","timestamp":"2026-04-28T08:37:49.427Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"f9325b9a-3080-499d-9949-f39c352dc695","version":"2.1.118","gitBranch":"main"}
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{"type":"last-prompt","lastPrompt":"/0g-hk 发布一个","sessionId":"f9325b9a-3080-499d-9949-f39c352dc695"}
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{"type":"permission-mode","permissionMode":"bypassPermissions","sessionId":"f9325b9a-3080-499d-9949-f39c352dc695"}
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{"parentUuid":"b5e8c13c-de7a-4470-82fb-fecc4bfc178e","isSidechain":false,"message":{"id":"resp_023af02e18597bdd0169f071de49d081918d692dde34695074","type":"message","role":"assistant","model":"gpt-5.5","stop_sequence":null,"usage":{"input_tokens":3419,"cache_creation_input_tokens":0,"cache_read_input_tokens":37376,"output_tokens":2609,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"},"content":[{"type":"thinking","thinking":"**Considering tool output safety**\n\nI need to be careful about exposing the editToken in chat. The Bash output could potentially show this token in a way that isn’t visible to the user, but it's still important to be cautious. I know the output might be visible generally, so I don’t want to use Bash cat if possible. Maybe using a here-doc is sufficient for data to curl, and I could think about using Python to generate the payload for curl instead?","signature":"gAAAAABp8HHoWnug8q_V0-9KFP7FT6Ro22Ee0OBbs32nGqnUmEI3F6qrSHYsboks-_CGmSTr9zeiavRSnT5QMB9afxIDCUlk1ghLjpLLquDYwxgdjoMGgayjuC0NlXSQSGFJLpXelPnbMvB-YNBACfPppFJX5-TX14bhATVmbqpc4GjbEvt9FnEcwsZyXyiW5UKyu3WdLwKz8vyNW56fCbj4-4N74zPQkH7TMiFd-AUNfObA80Ky9OzyUZNyZ39HRRoR9iiasPXxmeOee_PF6D4ydXyhojwov9ca0MpEXD-gw-AUa30QyV_Pzis3HBg1H-Tf9UAMSmXF4siAGYPhRlm9E_l4rfooAvOc9xJRB9m1rJHQKuDz9GfqDKN2CIZ4nnj58ws6-HZsxYNEOAYSV7IYNBnKNiqF7wPCWxTw4J3sNk4OjhCAmpo7AWuS4i4epDLe44rBSL2HGhqCQSHkiWc7oEV7Jt1KLn9HfGOz35HTxZxibxhLlkN_-8qwjxupn_yBa2veAo1Hgn2hB4CU5yGEKctXBheZ0HrFz8QMYuoK065F1FwBvuXx9XjS82TD505ujQAWy8VW6aHRx3l6W4UInaGR6etm41Q2eW-tOsUbA_oparbuRPytnzqnrjL4vBVPQngHAzx_L0oI-2wYnx6tV_zudr6De6Xfe_p01Asuv2aDg_NTi2j5baBqifsRKteuXHAtBA2AkoTFrrmVDbGaqe2mIu_ttfTIkX4LpQk3vsMdyNc5DEqpPMnOpeaiav7ge3z9OloF4WAfIHrlZEMpTyo5p2ffcWFAFQwmZy1W54f8mGPwcp2Nv0D7v6iOU__dvyNgxw_Pdq08ljBoCFYRPwp2UeEOkZl5fcRzPkeRhrRYO653EHzfZCNDN76nGRFu3NHpvxK4tXx6D2lHnGonj2mXZDRNoIJIrPOyQTqZ_HvMr-ok4it3O9ICpgqit_qLRyMxOXoq6EKsd9YSwYDYJ8Y-KMPiC2AYRMCmorJWBJzcKTb4g5H0DeOJAJzQkuhMlLs7YDf5g9Crk8yiQEgHMyW1gVIzG7TdpyL18Qv19qOBspL3xTkoap10ShYcd7SMKp0IUjkwna9PP5ZPIiAj7zDVjorZfmATgjlDHnCkpZXRMjAZ3MjK03v9nIkQsTDpanE6gy2Vquhqj5fSB0EG_NpM8O6bcrEaCb0gv41XVx3Vq1Pug0HnarwkhhhUchNs--kM7nmDD4e-BvF2AwE8NBU-eYaDalSW2eM-KJ8AwaQzq9L2nY8xPCk6zNmSuxEfaC2rf2t2uFcQHs6XyK4WgLsveh7DqopZmJFNwcXFmWpYiR4ljuS2aRkvsxqk6i2ZGCtrE41Cm-v3tjwQqxazKpeLGe1DLFzkcWEYfB33cnZmxKiRsgV3eB94ZGWtF9SGSRSMUWggNUl2XGFJ08UTKtf_gzHZNyU_mHjiZBpnzkuXMbj_l5LsTHkj5F7TZOIkXvioFIXBCHoIDTBwBuP9rt2BuL9NkmKRulftXZBcWdNE8IWb-zqXtMQkzTo8lsaReOlmOp87V8jS7lJv5Xbjf-bQZoABmZ24YtsjFpSuf68p-XYkeJQUPHcKPH1gdF2SqT_W0n5iEUKtAuujcYscmZLp32BSIXGIYU9A5RIOKlTFyk-fzezAKdDtCmxNq2twSu8m7_-Ql7yuAuGoh7adt_tChJBx6Wsmn_QgpNiwtp5GVbHvEKcTG0gs6c4CsdTECRGKmd4c8K_gnTC_xM0GgOL73WI1M4kcCPW0q2wQt3l3urZ5XOqiQn6ye1kkvbbH-nih_pzDmgwnc9a6GU5JEpLpS_qV-3F6kGPtPgPWAfmoYxhT8aZ5VwuqjV-udNbLR-N0-jBtxMKT9q7gNA1WWAremHEK4Kv1V841vkJKPpke3yxXqy_ibsl-80B9K-8C6ozcstAi5ib3ErAMzbmm479ehX_fFYmzJpVhigHwNyd-YlOjgcXt36DeDejJ_dRREzGLWd4UtpW62dpII_eyd4BkkT7gO0qfF0P-BOnHZiQmNyQADbfpx_E0_6DJwOrKB6o0KIXnElcJhTvZiww8fOxUYGrsPPH-TJ42KXFw1dfKvmtVmSwNa7Mj9QO4U9p6L8OOees4WhjziP12lmhekE4yEmcEMQIUMJSz64WSCisTScMZrgm7k_3vndmpypyFxgQr0nMyq_IBHd_etuImV3KAWTwJXFcVfTuIsBf0qKzcsxkFbj8Dq06n4fwkB_GmpYKL6KFdeUsE6lGXhiLpG-XJ4CT7TqdGkRZC-JbDL9kYU6qNO1ayUrNVBQeNFeoCQmPPjP6_zuktuqAm9WqD5GcNSP2-t6xzGWpORC4u7RChOQvUu2F-z5Dn6HoECdXtDRe-ZHmUT4seeD6QRupDSWt0WlWVlcLTIwMmS_AsKXAfGswqkIomAzUts8v6fwxkMwrFCApy6vp5LJnkvDtHujNoRDJrJSiQjRPkL5kkJKAKjzmwgaijxCItRzhfdfPw0Dus6Y3Oqrmuk5MBQW6UbIuIUkDmQa8v640XGK6D_VrVVWbM7VeX_scFpS_JkrB8BcEZFbKEdwvWDBdNuuB0aZaM2zTtAqTQ1O-wv8JZDF0hvag-36SKiofFeOOLCV5n8n6SHXakv9QOpAZnEyCjsZ0of6QTQsNtIlY4B-1c0JFHhuUlKtlVxQBQeGM0TIH3UUxrKsedfokwe49PvQ27GIjyzKUz4pogyo7_T0XuTfNt7aCIIEhzJpWwX-ruLO0LxdLiKV9uQGjg-3H-CPPuz3Jg1raQ6KOONHHY9TgKycroKJMsu832x4-dC1KRlCbbj1QFiHZO_3zz7E7RmNgivGs5jeB2B4HnmMQJlTfU0IjYK4DguDxC12PkzpAcUJ4GQ69G9GkPqK7-axLEvSAL2ujLXfgMuudDJQc3oUeMrxdVjADxuQZFyfvSzSt3TdLbk1qFD1IzK07rN4PLjupB8XVA9lree3j6vvUheh3WZf8iCOJLAM9ZQ0B5utSRuIBzjx3GNAo5PILcvt7sVPr3FJT_3b0x_yCQFokgrM1K5W7NQRW4kwS9Djc0KVunXrLJI-D71zjuS2FNbjgc2Mnb1BjQ2VTUZeqd04ibH4mAfnJXer8hu3HOMHR7colRj35Sc9quVJxplSEKpl9daKpMCyFwKOO11zNk7v6vusSw36kcF_vGAoDrmK_sVBrh_6hi5iVWJdXO8N8j7AHbrk7pDTcEci_O339UBqY5p-gg_YVl8Nj-vtdVFWJLPvTjgHWQc4VzIZZg62KuYzYCxkq4tfUS2c2AkgVyLQc39Yjl0tka68gOp9DDhi56wqaJLOoqMpvjY7UbFfg9pCFzJpjcIS4efMAmuut2-f5Lpnx1esbr3jkCNxCPb1LJqgIoklRHN-6yZtXk7SehK_m6psBg3tL0udjKabXxW0AMmMyJUUMgEJR8Txykwdnv0Gu8_JZ33O1SJC9hoiaeokv4DgBGQ_lMxg259lNnb3nRs9iMJvtmk6qoKj69ENsRVWyyxSrEWlh5GY0vPu3XSF4OXIZyLFBY2ipTzWD5yHSuudj5IrA7JTCqM_hIm0auxHWVq6iM7Y3uHQUgs2iBazGYciTweTD77jRsYP5jedIRBfu_1Z7yM8-zxzr4n2bjDCX5LUpakr0XQ8sb7lEyU8MGWmMnH7Z9CYzlGQtWj20AbtXiiJLVzb70ujXFszkRU4tSjV8UE-nIG0zd2fg7sjejqHAx8vhJpIxrsqGd9rKN4zUiRGBoAAXEoNGzTLE6vgJ2g_6tazD5V-w6BswUec0jLA5s-tfRzAZ7NP7GRPiTz31XSj-VUKqvmcGSS9ftDE7k0nVudpb-DYH3XPLKPcDg1t9HlH_L4NkK23-BmGYCMwvGL9xCJy7GIXMtGZw9nbHDGZyqHZD0Pag7_yJe39ofgepwnjW8fljTuiI3yA1ew9zFMzUCF_4QcHez3rEW82K63P0uXZxkr6yb1KBObfAo7uwsD2SSuYmEnT7DqEPGmVYrHZC8u1zWz6drRVU3zmHYJ0FehHMoQin9"}],"stop_reason":"tool_use"},"type":"assistant","uuid":"c5687815-d15f-47ba-abf9-098832ff4b99","timestamp":"2026-04-28T08:38:01.046Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"f9325b9a-3080-499d-9949-f39c352dc695","version":"2.1.118","gitBranch":"main"}
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{"parentUuid":"c5687815-d15f-47ba-abf9-098832ff4b99","isSidechain":false,"message":{"id":"resp_023af02e18597bdd0169f071de49d081918d692dde34695074","type":"message","role":"assistant","model":"gpt-5.5","stop_sequence":null,"usage":{"input_tokens":3419,"cache_creation_input_tokens":0,"cache_read_input_tokens":37376,"output_tokens":2609,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"},"content":[{"type":"text","text":"我会把 500 字符以内的申请框文案整理成一篇 Markdown，并发布到 0g.hk 临时链接，同时记录 editUrl。"}],"stop_reason":"tool_use"},"type":"assistant","uuid":"ca63b671-4934-4988-baa1-364564d72834","timestamp":"2026-04-28T08:38:01.354Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"f9325b9a-3080-499d-9949-f39c352dc695","version":"2.1.118","gitBranch":"main"}
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{"parentUuid":"ca63b671-4934-4988-baa1-364564d72834","isSidechain":false,"message":{"id":"resp_023af02e18597bdd0169f071de49d081918d692dde34695074","type":"message","role":"assistant","model":"gpt-5.5","stop_sequence":null,"usage":{"input_tokens":3419,"cache_creation_input_tokens":0,"cache_read_input_tokens":37376,"output_tokens":2609,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"},"content":[{"type":"thinking","thinking":"**Planning project documentation**\n\nI need to execute a plan and choose the content for a document, ensuring each section is under 500 characters. I’m thinking I could include fields like Project Summary, Problem, Value to OpenAI, Current Status, Intended Users, How Credits Will Be Used, API Dependencies, and Roadmap, all with the same character limit. \n\nAlso, I could add a note in Chinese about the character limit and consider drafting first in English. Maybe the total content should be under 8,000 characters, and I could use Bash for this with a shell script.","signature":"gAAAAABp8HHpgkxhcYnPCSFR9OyNlNDC2CWNIT_Cwq7gfdvBrU6Isv-sfbvftJ5MZkeRFUSlHwuhxzNvXyIIbM2v1b5pEBmw1yy6zfQdl6hXggwV4zpvZUcYKBqkynVw0PXzq_4168HDJkXXNx4Nm1fmwiwF4S9xK7r9Ml_ot3CP9mzaglH9lJRF4QOZXftU3SqDV5VF88snP0pBL6eZHEIOJVGOTCD__uX4CyFKFjSpYO4BbjfFTnaslfQe3fmZXJJhdlDjGgoRyS-gMj8TwwLRNVI0DYCrKkVSg3Rx-UX5LloQbwPZNQsT9O4ANRPRrpfHVDnsw5NivcNgncfMlHUb2bpKquaoazfYsMDj1HRPAxDD3Ruhzv4gFDfiDMFqtq8G5IAlQGsD5pLuxk4Lb3MmJm2jS-PaMv_F4aee8WXdRYOiWDErrKtHhL8cw5wKxhru0ZmgULXNf7UFZB9C3hgzqfNE6AOkZqOlKjIJ2Qg-9SXCurutcoX3Pq-7lCzFuOCqjixSVP9_zrVzPpiQ9EJ7tRAivBUvcIsMZK0NGHPsuaKYG7QHm5wAovv1BjKWCYvc-a3n_GuWWK2EHMhuZEH-tfOoQ6CQLr-2GumVg6OegS0ypadiRa3ZmZ7lAX9B_2AsvtPlTRwmfsvUaxsMWm8bLW1-ngsoNQm-rPSzESv_DX8kGgP__TAvl-bN6RyfbYmGYaqlfBh6nwCxcomVi5yjYw7VOs3Mk3g_CsFk-6q9eJkKJffF6lluxU-MsbFs1opIjzYqnh8IsjE7ESS8L9AxZOr5ClrCgrlct9C34lZAA33NS3dF3Dg18rfo7A_igLgAONLq1jVochhtoJLr6RBpB2VM317EbGCIvKR91UZ85N-PmxpHzy0rCEipilP30eZvFOFblplxDp9j-ombAWPUjAkaRAXFBA=="}],"stop_reason":"tool_use"},"type":"assistant","uuid":"d932fd46-7dd9-4aa6-a879-2f566a4686c6","timestamp":"2026-04-28T08:38:06.162Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"f9325b9a-3080-499d-9949-f39c352dc695","version":"2.1.118","gitBranch":"main"}
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{"parentUuid":"d932fd46-7dd9-4aa6-a879-2f566a4686c6","isSidechain":false,"message":{"id":"resp_023af02e18597bdd0169f071de49d081918d692dde34695074","type":"message","role":"assistant","model":"gpt-5.5","stop_sequence":null,"usage":{"input_tokens":3419,"cache_creation_input_tokens":0,"cache_read_input_tokens":37376,"output_tokens":2609,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"},"content":[{"type":"thinking","thinking":"**Creating a timestamped name**\n\nI need to check if a specific name exists, and if it does, I should create a random name or use a timestamp. For simplicity, I'll go with a timestamped name like \"cxs-sponsor-0428\" since it’s unlikely to exist. Today is April 28, 2026, and I want to keep this under 15 characters, avoiding any branded names. \n\nI should also check if the name exists first. If it does, I’ll opt for a random name. I’ll use JSON for the POST body, and maybe consider using Python's urllib instead of curl for simplicity, handling responses in JSONL format.","signature":"gAAAAABp8HHpgkxhcYnPCSFR9OyNlNDC2CWNIT_Cwq7gfdvBrU6Isv-sfbvftJ5MZkeRFUSlHwuhxzNvXyIIbM2v1b5pEBmw1yy6zfQdl6hXggwV4zpvZUcYKBqkynVw0PXzq_4168HDJkXXNx4Nm1fmwiwF4S9xK7r9Ml_ot3CP9mzaglH9lJRF4QOZXftU3SqDV5VF88snP0pBL6eZHEIOJVGOTCD__uX4CyFKFjSpYO4BbjfFTnaslfQe3fmZXJJhdlDjGgoRyS-gMj8TwwLRNVI0DYCrKkVSg3Rx-UX5LloQbwPZNQsT9O4ANRPRrpfHVDnsw5NivcNgncfMlHUb2bpKquaoazfYsMDj1HRPAxDD3Ruhzv4gFDfiDMFqtq8G5IAlQGsD5pLuxk4Lb3MmJm2jS-PaMv_F4aee8WXdRYOiWDErrKtHhL8cw5wKxhru0ZmgULXNf7UFZB9C3hgzqfNE6AOkZqOlKjIJ2Qg-9SXCurutcoX3Pq-7lCzFuOCqjixSVP9_zrVzPpiQ9EJ7tRAivBUvcIsMZK0NGHPsuaKYG7QHm5wAovv1BjKWCYvc-a3n_GuWWK2EHMhuZEH-tfOoQ6CQLr-2GumVg6OegS0ypadiRa3ZmZ7lAX9B_2AsvtPlTRwmfsvUaxsMWm8bLW1-ngsoNQm-rPSzESv_DX8kGgP__TAvl-bN6RyfbYmGYaqlfBh6nwCxcomVi5yjYw7VOs3Mk3g_CsFk-6q9eJkKJffF6lluxU-MsbFs1opIjzYqnh8IsjE7ESS8L9AxZOr5ClrCgrlct9C34lZAA33NS3dF3Dg18rfo7A_igLgAONLq1jVochhtoJLr6RBpB2VM317EbGCIvKR91UZ85N-PmxpHzy0rCEipilP30eZvFOFblplxDp9j-ombAWPUjAkaRAXFBA=="}],"stop_reason":"tool_use"},"type":"assistant","uuid":"79a0e83a-6bf2-4638-8138-1700aa2b090c","timestamp":"2026-04-28T08:38:08.651Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"f9325b9a-3080-499d-9949-f39c352dc695","version":"2.1.118","gitBranch":"main"}
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{"parentUuid":"79a0e83a-6bf2-4638-8138-1700aa2b090c","isSidechain":false,"message":{"id":"resp_023af02e18597bdd0169f071de49d081918d692dde34695074","type":"message","role":"assistant","model":"gpt-5.5","stop_sequence":null,"usage":{"input_tokens":3419,"cache_creation_input_tokens":0,"cache_read_input_tokens":37376,"output_tokens":2609,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"},"content":[{"type":"thinking","thinking":"**Structuring the sponsorship application**\n\nI plan to define sections in a dictionary or list, ensuring that each value's length is less than or equal to 500 characters using Python's length function. I want to build a Markdown document for the \"CXS sponsorship application draft\" with each answer constrained to 500 characters.\n\nI need to note that code fences will add to the length, but the content itself is fine. If the name \"cxs-sponsor-0428\" exists, I'll append a random suffix like \"-a1b2\" to differentiate it. I'll check existence using a GET request with urllib.","signature":"gAAAAABp8HHyiqG02UcpdBhfKVKXtNWrWXkxGLvkrHt6XXd9SOvefLqkHYDahxusn9S6hyj7WppUTZusy26vq-C1b3RTFaYnL51wMrxSl6_NvosWQoxSIMfnkk3Pn1WjFxOzdz4Hf2CE6EjJgtEdkqOm33_622izPyk5eM3KYoZ26WEvZU_c4gVZ7Nt1jJWsfdShHIOgQEbGH-QmYnr6xZs9CB1Yzp9urpZJxfNVtDgnIPV1HVKjbfh6N5GFgMDo-VmZ8FuIbVS8rJf2iEVEIl0X2N78vN_wBvR5PG2GyoA_JMWORC9bt4S9rSbrSz8xNrBBypIeAu7d7XZdpndyacRmnlPE441YmoIkzC325WSdXhuuVWbcuU-gu9TwgcAcz0Z3usXg_tBM4XIufdlgiv7qliKf8o3L3-mmLWPCSOdRx8MgHe00uB18nPAHcA06p0ZtCHcCqY6Q1uN6386ZHxLOfvmIoeYK5vmWK2U6yGS1YIGrPnHSQpvFn2BGn7DEdA1m-rwLHThL6LVAR-W8wHEKqD243D5wDZX5H48lYk_9N996QewZ1FWd3YT3UzFGDMc2RN1RDrW1WofjC3QxwnKkH3ZeuVzFb1y7MMEOEWmgheQc04vSL_T74zSZzww0hhFXXrF8Uo1hee6fnIzN9w1JgDyYQJBQXJm7o77rffSwPyNbjDeXG8tIRs88hDSzdt0GHia4y2Oj-f2KPc1JluX8s1teqc0eO-7-ZqfR3lLzXK8h-6wHJYq1y_UoFiQx_NSlk11XagU6TwK52eBDyATz0FYNC3TWU2rQrWcEstfIJf1YCXR59_SZFjsR43dnhRO8n6dKQlsZSsRETPyQZNMRoxZ4AsJL9ceWdXML1ykctWtvHKURlzuQifP8_f-dGK2CYjPYTFPiaasAAomE9WK27BifWwJMRNbZzEn-Mn5VpIlxy2DsWfkP4hV9Lxt1ibyH0FjNwFDPkoy-pgbfTsmhdwX4nfQSD1wd_0cl74RIsB6wcpZTiPUDl5EIXOnnlScC4Uz-93xg9eeSFp0YC5KgJxhvt0bL3ejrR02Im_MdyIGBhhW3uFQDmrnCQCmyYXmTLrxmFjGgTszN4nalAEdNC1tEkz0wV0HlTe-WzOfzF0lDlAHql0cXzhCzAH95mOJlsAQTi_yx0mhYgUzaS-doQOFMESqa67l507FoKdfD8lGsorJUSNzy38Ce4DNENezh0Pf5jbPvqFhLUYhfHXSGf9cyluNW3fJTrkiKba1Y1T48bpAD5kqe6U_Hwy9LVH7Zy58xpJJ-OqOVAqxVQhFVJAi-vpju07LefhgDtPj5VVpqYkP2FCdzFBbsMmyPWJMN9ztLeVL27r57MmmmifRSvR_C04ltbwXlP2sHJXW8tWL_5qUZL6BtpaEZiXD3KRFTU_gkPE-XAsZUpuiEz_yK6j_0GjsCjtQAuzBx_RW4hv1Xmhnr6CMdytsObqDLe_mI8bSpy-jFs_JqqghZq4sAIzhQEN4KPE7cQxZBXfTX_sYILBQisARp64RJymNwQjVYjNNgpRwpTTQYRLzMgh9rusPqubzPj5u0o_XLnRPBiNFiNl0NoMKm6OGdNr-mTXnph5f3RwLr7BM75X4yMWJNFNuCjCCblFcEsPTbfk11nj7PKlAU-bwD0vuRkXtaE81ezOJRjFXxJb3wdwfYSSr9OH0WpUzlshp2_Ge04-G2QqeKwBpcT1z5h0c-_NWyNGEqZoakT4kUa7a-fqQjKbk5JeA0iIIGy-N6nomB5UC-nhFysEo48_iASra1Hp2W1nhdaumPxTcIdDg2Pl5JPZaO6VQdIS832pez_JcHg_T2Nk3kgryURxe8SN3JTusbqvRRVCxUR9epGEDzs_dun70-xPwSMX1GrvEJyHwG2qMbsxq4ouJU1bnCDL3cb4vXBicKVVuLPFg8DjhmaoHFNTzT57Y37P59UGk-tF2B8G8_j4Ikx5NVfGttfxOGQC0kUXP3h8TOlo2bcbhJakMpvXVNk8dzmA567n2l3dbbVUL4L-b9y-AxuMCZaiz_CpYVPQ2V3E9gY3zfjEYMGBP1POXpp2ZJ8sIl9ur0jvEP3aB37F0CmENo2c2zLH61pT07GtPvz-kibmWWWt_3elo6NmEJLms1ghrspGKaoxND4tjsukCXpnVc0qi2AZwqiWghmFdKx2ZOvu-KdISLIRwQi13eHAfous-c4syoqo6Ksi8w9BLzQX7taqd_ZJdmyj64FMv06FrLJ7JJVvlszDGgsGjcF3U2V2ERoYjbhmahIzhpkC9-tPMf2Q3GkFbAB8cO2VI2hbfd7QpVP2yZ4FgfHhtqHD1uCOjsK50JBj_STkAKezzYN9HsgGUUQjm6i6P75lwJNcnnkBmQGpcOhm48wd6S4Y-SHK8B3XiBhixz6MaB-XmRQOgrNFQ6qyxtig2v3E3Oz7qakey5nDXCAkZYcYLI-wBHlkmH0SJGUDxB0Vw9hcKkw2HR9ctxo-PlCiWdBCHoZGFdqdl-3_ccuXZ5_JIlqms-NQzsnrRQ3TDT4XDbbi97yf6VrFj1PkNlgwapfMXp29AdHk26NHOiMUTHRWV84dIMRGHNsVDb3mQS38RclhPJIe5LnEkfff4xCT4-yqiIismc-3bKYrivLSFshKbHCvYQXuYVC2SPqS1bNP2XAMxm4cbf8mT0CpOVhsfl_u-jA44O8IezWGqCcUX3ov4qkXdOxeMrGmLFCxXvVB8Lu8XCkkv2B8JQhFtQp1T7fB_e9ey8jZqGvDg8QKF8aB3p29tNF-UMJfVKlmINO92U4xEy6NfeIdNlV9doAVtaHatzCM5rvYfE5hK2ZORswv627FrLdDcRLIJxGc0BfKkMZjGyz6LNeq5y2DtNkX6mFw5cOm4MWqpPMeBH0HuVdi0pU_LbMf0ls0PoVvzgXYmrGQfXPPPaWRuW9UcWxYa_pMyMG4ovo6ijWURELIg1j3dLwzSy3WHLHaEhkBXJVnCmTqpGw5TbgL19eDwCg5gLZ48axCj3OXoHLVGTcF3qZJgZBhMlyP1WBuzP6m3HgHbolYPpMQIC5vrSJc5qvTGo_hQXtrO7Kr3I_AC-hTuiPN_XCMiM6kQDR8ptp9_H3oSz5liDxBZ9ihCuW9saQV5J-2PBwnX2pfRnjpsXGNyldSCPmn8o1IvzPY8dV4lo_KxeLXUI1Vs16vJI__mAVMR8SI-drHqwh7R0zN7415e9IhWiimNZo6dRNcUc3E0fH69VkLB3xROR3L8NyfmHGUZiUsU4FxGSfUCiML-px2TxrXRh0LXU8XSpgH4FhDrZ7VEKswIDw0i-Zrswk5tM_CkSSXpMwP7dfBN9QWp69XD2bf1nvsIBS-vQE1nKUqkMrUzIj-OB3hT6ARLZAxRtHsQ7CHnf4mqbhrllxojSxRGM9Q2cFtppJm7MQuT7sADa0_0YarUf1pGZA3lMTURjau8aY0TDF_j3ykKG683U8QS20AUQNpDLmNkZ0yYCKJnt0glrNcQFasnQ0ivJEjb8oqjxyxWQ-l65s5Fmnle5ajrRawQFwi4aI2ADHpOhgTxSgDeG0uYKlYfz8701ApMzZ2OLwWcEX34cCEDvhvptY0hHRYiAxeikDRq1mQ39q05BhKB5Iyj-bJeT8LuzwgOt3Niq6Ik0-ECDGpRl-skMAG50Cl0lQajMGnKPwYKrdb9967Y_4DMhzMonw2amhRXuz_o8zhharTmtGbod8lpieY7DSySIABb-SQrSVg=="}],"stop_reason":"tool_use"},"type":"assistant","uuid":"85335242-a32c-45e7-a5b0-75841a2f47e4","timestamp":"2026-04-28T08:38:10.673Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"f9325b9a-3080-499d-9949-f39c352dc695","version":"2.1.118","gitBranch":"main"}
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{"parentUuid":"85335242-a32c-45e7-a5b0-75841a2f47e4","isSidechain":false,"message":{"id":"resp_023af02e18597bdd0169f071de49d081918d692dde34695074","type":"message","role":"assistant","model":"gpt-5.5","stop_sequence":null,"usage":{"input_tokens":3419,"cache_creation_input_tokens":0,"cache_read_input_tokens":37376,"output_tokens":2609,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"},"content":[{"type":"tool_use","id":"call_nc2RFbeif2p6wXjGFu6JQ3DS","name":"Bash","input":{"command":"python3 - <<'PY'\nimport json, os, secrets, sys, urllib.parse, urllib.request\nfrom datetime import datetime, timezone\n\nsections = [\n (\"Project summary\", \"cxs is an open-source, local-first CLI that turns Codex session logs into a searchable retrieval layer. It helps developers and agents find prior debugging steps, commands, decisions, and relevant conversation ranges without loading entire transcripts.\"),\n (\"Problem\", \"Heavy Codex users accumulate valuable context across many sessions, but that history is hard to search and reuse. Users often remember that a bug was fixed or a command worked before, but cannot quickly recover the exact session, decision, or local context.\"),\n (\"Solution\", \"cxs indexes local Codex sessions into SQLite FTS and exposes a progressive workflow: status -> sync --selector -> find/list -> read-range/read-page. The goal is low-noise recall first, then focused context expansion only when needed.\"),\n (\"Value to OpenAI\", \"cxs makes Codex more useful over time by helping users reuse prior Codex work. It explores a practical open-source design space around agent memory, local session retrieval, progressive context loading, and sidecar tooling for serious software engineering workflows.\"),\n (\"Current status\", \"The project is early-stage and primarily dogfooded by its maintainer. It is published as an npm CLI and focused on correctness, retrieval quality, and a clear local-first workflow before broader promotion. Adoption is early, but the pain point is concrete.\"),\n (\"Intended users\", \"The intended users are heavy Codex users, agent builders, and developers who work across many long-running coding sessions. cxs is also designed as a retrieval engine that future sidecar tools or GUIs could build on without requiring a hosted backend.\"),\n (\"Credit usage\", \"Credits would support optional development and evaluation work: model-assisted retrieval evaluation, session summarization experiments, query-focused summaries, reranking prototypes, and examples showing how agents can recover prior context before starting work.\"),\n (\"API dependency\", \"The core CLI will remain local-first and usable without an API key. OpenAI credits would be used for optional experiments and quality evaluation, not to make every command cloud-dependent. Any model-assisted workflow should be explicit and opt-in.\"),\n (\"Privacy approach\", \"cxs works with local Codex logs and should preserve user control by default. Sponsorship would help evaluate which retrieval improvements can stay fully local and which optional model-assisted features provide enough value to justify explicit user opt-in.\"),\n (\"Roadmap\", \"Near-term work focuses on stronger retrieval evaluation, better acceptance gates, and observing whether session-level recall introduces ranking noise. Larger work such as reranking, richer projections, and diversity control can follow once eval quality is stronger.\"),\n]\n\nbad = [(title, len(text)) for title, text in sections if len(text) > 500]\nif bad:\n print(\"Sections over 500 chars:\", bad, file=sys.stderr)\n sys.exit(1)\n\nlines = [\n \"# cxs OpenAI sponsorship application draft\",\n \"\",\n \"Each answer below is <= 500 characters and can be pasted into a short application field.\",\n \"\",\n]\nfor title, text in sections:\n lines.extend([f\"## {title}\", \"\", text, \"\"])\ncontent = \"\\n\".join(lines).strip() + \"\\n\"\nif len(content.encode(\"utf-8\")) > 8 * 1024:\n print(\"Content exceeds 8KB\", file=sys.stderr)\n sys.exit(1)\n\nbase_name = \"cxs-sponsor-0428\"\nname = base_name\nfor attempt in range(5):\n url = \"https://0g.hk/exists?\" + urllib.parse.urlencode({\"n\": name})\n with urllib.request.urlopen(url, timeout=20) as resp:\n exists = json.loads(resp.read().decode(\"utf-8\"))\n if exists.get(\"valid\") and not exists.get(\"exists\"):\n break\n name = f\"{base_name}-{secrets.token_hex(2)}\"\nelse:\n print(\"Could not find an available 0g.hk name\", file=sys.stderr)\n sys.exit(1)\n\npayload = json.dumps({\"content\": content, \"name\": name, \"ttl\": \"7d\"}).encode(\"utf-8\")\nreq = urllib.request.Request(\n \"https://0g.hk/\",\n data=payload,\n headers={\"Content-Type\": \"application/json\", \"Accept\": \"application/json\"},\n method=\"POST\",\n)\ntry:\n with urllib.request.urlopen(req, timeout=30) as resp:\n raw = resp.read().decode(\"utf-8\")\nexcept urllib.error.HTTPError as e:\n print(e.read().decode(\"utf-8\"), file=sys.stderr)\n raise\nresponse = json.loads(raw)\n\nlinks = os.path.expanduser(\"~/.agents/skills/0g-hk/links.jsonl\")\nrecord = {\n \"event\": \"created\",\n \"name\": response.get(\"name\"),\n \"kind\": response.get(\"kind\"),\n \"short_url\": response.get(\"shortUrl\"),\n \"raw_url\": response.get(\"rawUrl\"),\n \"edit_url\": response.get(\"editUrl\"),\n \"edit_token\": response.get(\"editToken\"),\n \"ttl\": response.get(\"ttl\"),\n \"created_at\": response.get(\"createdAt\"),\n \"expires_at\": response.get(\"expiresAt\"),\n \"content_length\": response.get(\"contentLength\"),\n \"target\": response.get(\"target\"),\n \"title\": \"cxs OpenAI sponsorship application draft\",\n \"source\": \"claude-code-session-2026-04-28\",\n \"tags\": [\"draft\", \"sponsorship\", \"cxs\"],\n \"recorded_at\": datetime.now(timezone.utc).isoformat().replace(\"+00:00\", \"Z\"),\n}\nwith open(links, \"a\", encoding=\"utf-8\") as f:\n f.write(json.dumps(record, ensure_ascii=False, separators=(\",\", \":\")) + \"\\n\")\nos.chmod(links, 0o600)\n\npublic = {k: response.get(k) for k in [\"name\", \"shortUrl\", \"rawUrl\", \"editUrl\", \"ttl\", \"expiresAt\", \"contentLength\"]}\npublic[\"section_lengths\"] = {title: len(text) for title, text in sections}\nprint(json.dumps(public, ensure_ascii=False, indent=2))\nPY","description":"发布 cxs 赞助申请草稿到 0g.hk","timeout":120000}}],"stop_reason":"tool_use"},"type":"assistant","uuid":"78cbfd09-5354-43d8-8661-011190a6314f","timestamp":"2026-04-28T08:38:18.323Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"f9325b9a-3080-499d-9949-f39c352dc695","version":"2.1.118","gitBranch":"main"}
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{"parentUuid":"78cbfd09-5354-43d8-8661-011190a6314f","isSidechain":false,"promptId":"2b282ca2-2732-470d-babe-a21c2b531389","type":"user","message":{"role":"user","content":[{"tool_use_id":"call_nc2RFbeif2p6wXjGFu6JQ3DS","type":"tool_result","content":"{\n \"name\": \"cxs-sponsor-0428\",\n \"shortUrl\": \"https://cxs-sponsor-0428.0g.hk\",\n \"rawUrl\": \"https://cxs-sponsor-0428.0g.hk/raw\",\n \"editUrl\": \"https://cxs-sponsor-0428.0g.hk/edit#t=PtFVanFqX9XIfTL1rjJKwg\",\n \"ttl\": \"7d\",\n \"expiresAt\": \"2026-05-05T08:38:21.177Z\",\n \"contentLength\": 2869,\n \"section_lengths\": {\n \"Project summary\": 252,\n \"Problem\": 257,\n \"Solution\": 233,\n \"Value to OpenAI\": 266,\n \"Current status\": 256,\n \"Intended users\": 251,\n \"Credit usage\": 262,\n \"API dependency\": 247,\n \"Privacy approach\": 255,\n \"Roadmap\": 265\n }\n}","is_error":false}]},"uuid":"8235f2d2-bc10-49fc-89da-fed91e8bd634","timestamp":"2026-04-28T08:38:21.700Z","toolUseResult":{"stdout":"{\n \"name\": \"cxs-sponsor-0428\",\n \"shortUrl\": \"https://cxs-sponsor-0428.0g.hk\",\n \"rawUrl\": \"https://cxs-sponsor-0428.0g.hk/raw\",\n \"editUrl\": \"https://cxs-sponsor-0428.0g.hk/edit#t=PtFVanFqX9XIfTL1rjJKwg\",\n \"ttl\": \"7d\",\n \"expiresAt\": \"2026-05-05T08:38:21.177Z\",\n \"contentLength\": 2869,\n \"section_lengths\": {\n \"Project summary\": 252,\n \"Problem\": 257,\n \"Solution\": 233,\n \"Value to OpenAI\": 266,\n \"Current status\": 256,\n \"Intended users\": 251,\n \"Credit usage\": 262,\n \"API dependency\": 247,\n \"Privacy approach\": 255,\n \"Roadmap\": 265\n }\n}","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"78cbfd09-5354-43d8-8661-011190a6314f","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"f9325b9a-3080-499d-9949-f39c352dc695","version":"2.1.118","gitBranch":"main"}
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{"parentUuid":"8235f2d2-bc10-49fc-89da-fed91e8bd634","isSidechain":false,"message":{"id":"resp_0b8ac8b485a37b850169f071fe55f08191b0fa68b8c9cb4364","type":"message","role":"assistant","model":"gpt-5.5","stop_sequence":null,"usage":{"input_tokens":3202,"cache_creation_input_tokens":0,"cache_read_input_tokens":40448,"output_tokens":119,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"},"content":[{"type":"text","text":"已发布为临时文档，每个回答框都控制在 500 字符以内。\n\n- 文档：https://cxs-sponsor-0428.0g.hk\n- 原文：https://cxs-sponsor-0428.0g.hk/raw\n- 过期时间：2026-05-05T08:38:21.177Z\n- 编辑入口：https://cxs-sponsor-0428.0g.hk/edit#t=PtFVanFqX9XIfTL1rjJKwg"}],"stop_reason":"end_turn"},"type":"assistant","uuid":"299c9ecc-cab4-4f2f-96c4-7f49eac738a6","timestamp":"2026-04-28T08:38:24.607Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"f9325b9a-3080-499d-9949-f39c352dc695","version":"2.1.118","gitBranch":"main"}
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{"parentUuid":"e10ccae2-bd3e-4912-8f87-95e7182a99d4","isSidechain":false,"type":"system","subtype":"turn_duration","durationMs":38444,"messageCount":41,"timestamp":"2026-04-28T08:38:28.079Z","uuid":"698d5804-8132-4920-b20e-05567d56894b","isMeta":false,"userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"f9325b9a-3080-499d-9949-f39c352dc695","version":"2.1.118","gitBranch":"main"}
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{"parentUuid":"698d5804-8132-4920-b20e-05567d56894b","isSidechain":false,"type":"system","subtype":"away_summary","content":"目标是为 cxs 申请 OpenAI 开源赞助，当前已把每个 500 字符以内的申请框文案发布到 0g.hk 临时文档。下一步是按申请表具体问题和字数限制继续微调。 (disable recaps in /config)","timestamp":"2026-04-28T08:41:31.888Z","uuid":"0a2efe38-bdbb-420b-8bbc-536699aefed3","isMeta":false,"userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"f9325b9a-3080-499d-9949-f39c352dc695","version":"2.1.118","gitBranch":"main"}
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{"type":"last-prompt","lastPrompt":"/0g-hk 发布一个","sessionId":"f9325b9a-3080-499d-9949-f39c352dc695"}
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{"type":"permission-mode","permissionMode":"bypassPermissions","sessionId":"f9325b9a-3080-499d-9949-f39c352dc695"}
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f6/8e91e0cf0b/1/metadata.json
···
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"created_at": "2026-04-29T02:27:10.083546Z",
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"checkpoints_count": 2,
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