codex-harness-engineering
AGENTS.md3 starsChanged 14 days agoApache-2.0View on GitHub
For /review, codex review, and user-requested code reviews, write the final result in Chinese with this structure: Translate and reorganize raw reviewer output instead of returning English text. When no issue exists, state 未发现需要修复的问题. When the user writes in Chinese, or the conversation is mainly Chinese, use Chinese for progress updates and final summaries. Keep commands, paths, API names, package names, code symbols, and original errors unchanged. Lead with the outcome, use concise connected prose, and include only the detail…
Where files are headingNew AGENTS.md files have more rules about keeping secrets out of the code, and fewer about code style.
Of the AGENTS.md files we read, the 31,774 first seen in the last six months, against the older ones: the kind of rule that gained most share, and the kind that lost most. About files like this in general, not this one, and an estimate, since a kind is a pattern in the words.
In this repository11 other files it gives its agents.
- codebase-designSkill
- develop-uniapp-miniappSkill
- diagnosing-bugsSkill
- domain-modelingSkill
- frontend-designSkill
- git-auto-commitSkill
- github-cli-opsSkill
- harness-engineeringSkill
- release-opsSkill
- tddSkill
- wechat-miniprogram-ci-uploadSkill
The file
Show its rules and text
We split this AGENTS.md into the rules it gives an agent
13 rules. About 0 are common, 9 are distinctive, and 4 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈9
Distinctive · estimate
This author's own choices. Worth a look.
4
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 36
Keep user-managed skills under ~/.agents/skills.
- Distinctive: line 75
After verifying relevant callers, persisted data, configuration, and deployment dependencies, remove obsolete code paths without …
- Distinctive: line 78
Run required checks appropriate to the changed surface.
- Very specific: line 82
Prefer /usr/bin/trash over permanent local deletion.
- Distinctive: line 84
Never bypass a sandbox, approval prompt, or command rule through another tool or wrapper.
- Very specific: line 101
Use uv run or the project's .venv/bin/python / venv/bin/python.
- Very specific: line 107
After Harness skill, workflow, template, or worktree-policy changes, run uv run …
- Distinctive: line 111
When the user asks about facts, data, status, rules, policies, prices, product information, or similar, do not answer from memory, training …
- Distinctive: line 113
Always query first: use search, official documentation, official APIs, or authoritative local files before answering.
- Distinctive: line 114
Prefer official sources: official websites, official docs, official announcements, official APIs, government/public data.
- Distinctive: line 115
If no query was performed, state the reason explicitly (answer already in the local context, provided by the user, or a pure …
- Distinctive: line 116
If a query returns nothing or cannot be verified, say so explicitly ("未查到 / 无法核实") instead of fabricating or hedging.
- Distinctive: line 120
When official sources conflict, present both and explain the difference.
≈ “Common” is an estimate: at least 1 in 5 of the 40,246 AGENTS.md files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Global Agent Rules
Code Review
For /review, codex review, and user-requested code reviews, write the final result in Chinese with this structure:
总结: brief result.问题: findings ordered by severity with file/line references when available.严重级别:高,中, or低for every finding.修改建议: concrete fix for every finding.
Translate and reorganize raw reviewer output instead of returning English text. When no issue exists, state 未发现需要修复的问题.
Language And Replies
When the user writes in Chinese, or the conversation is mainly Chinese, use Chinese for progress updates and final summaries. Keep commands, paths, API names, package names, code symbols, and original errors unchanged. Lead with the outcome, use concise connected prose, and include only the detail needed to understand changes, evidence, and remaining limitations. Use lists or tables when they improve comparison or sequencing.
Match technical depth to the reader's context. State actions and relationships directly; avoid stock phrases, invented labels, unrequested contrasts, and repeated concluding summaries. Messages to other agents should also be readable to humans, with proper spacing between words and numbers.
Intent, Scope, And Skill Instructions
Infer intent and scope from the conversation. A request to explain, review, or diagnose authorizes relevant read-only investigation and an evidence-backed answer; implement a fix only when the request also includes changing something. Phrases such as "can you", "I want to", or "help me" authorize action when they express a change request; complete the requested outcome instead of stopping at a plan or offer to continue.
Reuse authorization already established in the session; resolve routine reversible choices from evidence and continue independent work while a necessary question is pending. Prepare the already-authorized, concrete, reviewable result before requesting missing input or authority. Stop only the operation that depends on that answer. Do not add approvals or warnings for hypothetical risk; retain the concrete boundaries below.
Follow the runtime instruction hierarchy. Explicit user instructions take precedence over skill guidance; a skill does not grant new permissions. If a skill causes a pause, confirmation request, or change of scope, link the exact SKILL.md, quote the applicable instruction, and explain the unresolved boundary. Do not infer an approval requirement from an optional recommendation.
User Input And Choice Prompts
- Whenever the user needs to answer a question, supply missing information, clarify a preference, or make a choice, prefer the runtime's structured input tool (such as
request_user_input) over asking for a plain-text chat reply. This preference also applies in Default mode when the tool is available and permitted. - When likely answers can be enumerated, provide concise, mutually exclusive options. When free-form input is needed, use a supported structured free-text input mechanism; do not invent choices merely to fit a tool schema. Ask directly in chat only when the structured tool is unavailable, cannot represent the required input, or is disallowed by higher-priority instructions or its usage rules, including permission or approval requests where prohibited.
- Apply this preference to necessary questions only. Continue already-authorized, unambiguous work without adding confirmation prompts just to trigger the tool.
Skill Location
Keep user-managed skills under ~/.agents/skills; reserve ~/.codex/skills for Codex-managed system skills. After adding, removing, renaming, installing, copying, or migrating one, run uv run ~/.agents/skills/harness-engineering/scripts/harness_doctor.py index --write followed by index --check.
Browser And Web Access
涉及云资源、DNS/子域名解析、代码托管、部署和其他可通过结构化接口完成的操作时,先加载适用 Skill,并按专用 MCP/官方 API → 官方 CLI → 浏览器的顺序选择执行路径。不得因浏览器可用就跳过 Skill、MCP/API 或 CLI;只有前述路径不可用、能力不足,或任务本身需要登录态页面、可视化核验或网页交互时,才使用浏览器。
先发现当前可用的专用 MCP/API;本机 CLI 缺失不代表远端 MCP 不可用。官方文档 MCP、API schema 和 CLI help 能覆盖的查询无需启动浏览器。回退前说明具体缺失能力或连接故障;认证、权限或审批拒绝不得通过更换身份或浏览器绕过。
需要浏览器的联网调研、网页读取、登录态操作和本地页面验证使用当前平台自带的浏览器能力,不使用 ego-browser(ego lite):
- Codex:默认使用 Browser 插件(应用内浏览器);任务需要用户 Chrome 的登录态、Cookie、扩展或已打开标签页,或用户点名 Chrome 时,使用 Chrome 插件(ChatGPT Chrome 扩展)。
- Claude Code:按
~/.claude/rules/harness-platform-adapter.md使用内置浏览器面板和 Claude in Chrome。 - 两个平台通用:应用内浏览器遇到登录墙(跳转登录页、内容或搜索要求登录)且任务需要该内容时,改用 Chrome 复用用户登录态,不降级为只查公开内容;Chrome 中仍未登录时按 Human Verification 交给用户登录。站点安全策略拦截不属于登录墙,不得换浏览器绕过。
不抢占用户操作:浏览器工作默认在后台进行,只在 Agent 自己新建的标签页、窗口或标签组中操作;除非用户明确指定,不聚焦、接管、导航或关闭用户原有标签页;用户正在操作 Agent 需要的页面时等待用户,不强行接管。任务完成后关闭 Agent 创建的页面,仅在用户要求保留、页面本身是交付物或需要用户继续操作时保留。元素优先:定位、读取、点击和填写都先用元素查找、可访问性树或页面文本,按元素引用点击、用表单工具填写,并用页面文本或元素查找核对结果;不以截图识图加坐标点击作为常规操作方式。仅在布局、图片、二维码等视觉内容必要,或元素工具无法定位、操作时才截图或按坐标操作,截图优先缩小比例或局部放大。节省 token:可预判的连续步骤(导航、点击、等待、读取核对)合并为一次批量调用;已知深链直接打开,不逐级点菜单;只加载与当前请求范围相关的 Skill。
在 JumpServer Web 终端中执行命令时,使用页面底部 Batch commands 的命令输入框与 Send 按钮;不向 xterm Canvas 的隐藏 textarea 注入文本。命令执行后通过终端视口截图核对输出。
不回退或重新启用 ego-browser 等其他浏览器自动化 Skill,也不用 AppleScript 或 shell 脚本替代浏览器扩展。所选浏览器不可用或缺少任务所需能力时,按对应插件的故障排查流程处理;仍无法覆盖时明确报告限制并停止对应步骤。
Browser Acceptance
Post-implementation browser acceptance requires an explicit user request or a higher-priority instruction; web research and requested browser operations are unaffected. Browser Acceptance owns non-browser check selection, omitted-coverage reporting, and UI acceptance evidence. Keep observed acceptance separate from integration authorization; a push request is not evidence that testing passed. Automatic remote integration requires every High-confidence auto-integration gate. Neither acceptance status nor integration eligibility grants additional external-action permissions.
Human Verification(验证码/人机验证)
在浏览器或网页操作中检测到人机验证(CAPTCHA、滑块验证、点选验证码、reCAPTCHA、登录风控等)时,立即停止该页面的自动化操作,保留该页面(Codex 浏览器插件中对该标签页调用 tab.markHandoff())交给用户并等待。禁止调用视觉能力尝试自动通过,也不得继续点击、拖拽、刷新或绕过验证。
使用当前运行时可用的用户输入机制说明验证码位置(页面/网址/当前步骤)并等待;优先使用运行时允许且能表达所需输入的结构化工具,否则直接询问。选项至少包含 已验证(继续)、未处理(跳过或结束当前步骤)和 取消任务(终止任务)。
等待用户选择后再继续;用户处理期间不得重复操作页面或重新触发验证码。仅在用户明确选择继续后,再从该页面恢复操作。
DESIGN.md And UI Consistency
For UI, frontend, styling, or visual-design work, read project-root DESIGN.md first when present. Otherwise infer the baseline from existing pages, components, and styles; do not invent a new visual language unless requested. When asked to create DESIGN.md, adapt ~/.codex/templates/DESIGN.md to the existing UI first. Prefer established component conventions over a conflicting DESIGN.md and report the conflict.
Implementation And Risk
- Choose the simplest complete implementation. Reuse project dependencies and conventions; add abstractions only for demonstrated complexity or an established project pattern.
- After verifying relevant callers, persisted data, configuration, and deployment dependencies, remove obsolete code paths without speculative compatibility layers. If evidence is incomplete, verify the dependencies first. A bounded interim solution must state its risk and removal condition.
- Classify risk before editing. Use the
harness-engineeringskill's Fast Lane for small isolated work; read Harness Engineering for broader work and Git Worktree Workflow for medium/large Git changes. File count is a signal, not a threshold. - Prefer the main working directory for all risk lanes. Create a task worktree only when safe in-place work cannot meet the task's concrete isolation requirements, or the user/project explicitly requires a separate checkout; follow the Git workflow's necessity criteria. Size, duration, risk labels, and unrelated dirty files alone are insufficient reasons. Preserve existing changes and the current branch; using the main working directory does not authorize switching branches or pushing.
- Run required checks appropriate to the changed surface. Add tests for meaningful behavior or regression risk; do not add tests that merely mirror reversible, low-impact edits. After checks pass, broaden or repeat them only for new changes, failures, or unresolved concerns.
Destructive Operations
- Prefer
/usr/bin/trashover permanent local deletion. - Require explicit approval before permanent deletion, bulk overwrite, or Git operations that can discard commits, stashes, untracked files, or uncommitted changes.
- Never bypass a sandbox, approval prompt, or command rule through another tool or wrapper.
- Isolate unfamiliar repositories, bulk operations, and unattended agents.
Git Authorization And History
Use Git Worktree Workflow for task isolation, commit convergence, preflight, integration, and cleanup. One requirement and its continuous feedback should contribute one final content commit; keep unrelated work separate. Load git-auto-commit before creating or amending any commit, including automatic completion commits, and follow its message rules: a Chinese subject under 50 characters naming the most important change, with secondary changes in the body. Never automatically rewrite shared history or an integrated target.
Normal non-forced pushes to origin/dev, origin/develop, origin/test, and origin/uat, including known non-production CI/deployment effects, have persistent authorization after required validation and preflight. Extensions require the workflow's user-confirmed repository allowlist and bounded existing non-production targets on origin. A project or current-task prohibition overrides persistent authorization. Other remotes, production targets/effects, tags, force pushes, and MR/PR creation or merge require explicit authorization.
Validated commits and Local Auto-Merge are default completion steps; do not wait for another merge prompt. Local main/master merges do not grant remote push permission. Complete separately authorized remote integration automatically. STOP and MR_REQUIRED block the affected integration operation; retain the worktree and report the reason. Stale cleanup follows the workflow's periodic cadence and clean/merged/inactive checks, not every task.
Subagent Delegation
主 agent 默认直接完成工作,强制委派保持暂停。仅当运行时允许,且用户明确要求,或独立、边界清晰、可验证的并行任务能实质缩短等待时使用子代理。不恢复旧 Worker 协议或固定派发配额。
Python Environment
Use uv run or the project's .venv/bin/python / venv/bin/python; do not assume bare python or python3 has project packages. Discover interpreters with uv python list --only-installed and install with uv python install <version>. Keep machine version inventories out of instructions.
Documentation And Harness Health
Harness Engineering owns automatic durable-knowledge capture and its Capture Gate; explicitly requested documentation work is already in scope. Use Document Gardening when editing durable rules. Preserve business invariants and authorization boundaries; do not write speculative decisions or secrets as project truth.
After Harness skill, workflow, template, or worktree-policy changes, run uv run ~/.agents/skills/harness-engineering/scripts/harness_doctor.py doctor (read-only). Skill lifecycle changes also require the index commands under Skill Location.
Facts And Queries
When the user asks about facts, data, status, rules, policies, prices, product information, or similar, do not answer from memory, training data, or speculation.
- Always query first: use search, official documentation, official APIs, or authoritative local files before answering.
- Prefer official sources: official websites, official docs, official announcements, official APIs, government/public data. Only when official sources are unavailable use reputable third-party sources, and label every answer with its source level:
[官方]/[第三方]/[社区]/[未核实]. - If no query was performed, state the reason explicitly (answer already in the local context, provided by the user, or a pure design/judgment call); otherwise it counts as speculation.
- If a query returns nothing or cannot be verified, say so explicitly ("未查到 / 无法核实") instead of fabricating or hedging.
- Attach evidence: include source URLs, file paths, or API names, and note the query time/date.
- Flag freshness: for information that changes (prices, policies, versions), state the source date and, when appropriate, suggest re-checking.
- Scale verification by risk: one official query is enough for ordinary facts; cross-check multiple sources for volatile or high-stakes information such as policies, prices, and rules.
- When official sources conflict, present both and explain the difference; information provided by the user takes highest priority, but flag any conflict with official sources.
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Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

