Borrowing it
Nothing to install: this file belongs to ooooooooooooooooooop/agent-tools. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/ooooooooooooooooooop/agent-tools/main/AGENTS.mdgit clone --depth 1 https://github.com/ooooooooooooooooooop/agent-toolsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/ooooooooooooooooooop/agent-tools/agents-md)<a href="https://agentmods.dev/instructions/ooooooooooooooooooop/agent-tools/agents-md"><img src="https://agentmods.dev/badge/instructions/ooooooooooooooooooop/agent-tools/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/ooooooooooooooooooop/agent-tools/agents-md"><img src="https://agentmods.dev/badge/instructions/ooooooooooooooooooop/agent-tools/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.01344 | $0.01344 |
| Opus 5.5 | $0.00538 | $0.00538 |
| Sonnet 5.5 | $0.00269 | $0.00269 |
| Haiku 4.5 | $0.00134 | $0.00134 |
Grade A, and why
agent-tools AGENTS.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 52 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — 本仓库浏览与改动导航
这份文件给进入仓库的代理/协作者一个最快的心智模型：这里有什么、哪些能碰、哪些绝不能碰、改动会被哪些检查拦截。详细契约见 docs/architecture.md。
一句话
这是一个 Agent 工具的源码与发布控制面（Skill 包 + MCP 发行包 + DSH 插件包 + 质量脚手架），不是运行时工作区。根目录 top-level 目录属于五层之一。
分层目录（改动前先认层）
| 层 | 目录 | 可否改动 | 改动要点 |
|---|---|---|---|
| ① Skill 包 | skills/<name>/（20 个） |
✅ | 必须登记在 skills.json；布局统一 SKILL.md + agents/openai.yaml + examples/*.md |
| ② MCP 包 | mcp/<name>/ |
✅ | 登记在 mcp.json；自持子目录许可证；agent-switchboard 是修改版，非 MIT |
| ③ DSH 插件包 | dsh/<name>/ |
✅ | 本地 DSH 用户级插件：源码 + 可移植 cordis.patch.yml 片段 + README 一起发布；不设注册表，校验器不核对 manifest，靠链接/markdown 检查兜底；发布内容禁止含本机路径 |
| ④ 质量脚手架 | scripts/ tests/ docs/ _template/ .github/workflows/（skill-quality-gate 是 ① 中的 Skill 包，位于 skills/skill-quality-gate/） |
✅ | 改 validate_repo.py 会影响全部上层契约，谨慎 |
| ⑤ 设备运行层 | .taskflow/ .grepai/ .claude/ node_modules/ 等 |
❌ 禁改/禁提交 | 本地运行态，发布门禁拒绝 |
硬约束（改目录结构的红线）
- Skill 统一收在
skills/<name>/下。scripts/validate_repo.py::discover_skill_dirs()识别skills/子目录里含SKILL.md的目录（为兼容也认可根目录平铺的旧包）。新增 Skill 放进skills/并登记到skills.json的path（./skills/<name>）；两处不同步会让--strict判 FAIL。 - 两个注册表必须与目录一致：
skills.json↔skills/*；mcp.json↔mcp/*。校验器逐一核对。 - 发布门禁：
git diff --check、python scripts/validate_repo.py --strict、python skills/skill-quality-gate/scripts/quality_report.py --root . --strict、仓库回归、MCP 回归全绿才可合并。
改动后必须跑的检查
python scripts/validate_repo.py --strict # 结构 + 注册表 + 许可证 + 链接 + 运行时文件边界
python skills/skill-quality-gate/scripts/quality_report.py --root . --strict # Skill 门禁
python -m unittest discover -s tests -v # 仓库回归
python -m unittest discover -s mcp/agent-switchboard/tests -v # MCP 回归
git diff --check # 空白错误
本地缓存与运行态（当前仓库的"大块头"）
mcp/agent-switchboard/_sdk_probe_deps/曾放 Claude Agent SDK 缓存（约 360MB，含打包的 claude.exe）。已移到~/.cache/agent-switchboard-sdk/，claude_sdk_backend.py从那里探测（可用AGENT_BROKER_CLAUDE_SDK_DEPS覆盖）。仓库不应再出现这种大体积缓存目录。- 任何
state.sqlite、.jsonl、.log、用户路径、会话/任务 ID、模型/认证信息都是运行时态，禁止由mcp.json或 CI 校验放行到发布集。
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 52 lines · 1,344 tokens per session scan A b2f669a0fce1
agent-tools AGENTS.md is an instructions file published in the GitHub repository ooooooooooooooooooop/agent-tools (3 stars, last pushed 1mo ago), licensed MIT. It adds 1,344 tokens to every session, about $0.0054 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deno copilot-instructions.md
Copilot instructions for denoland/deno, covering deno development guide for github copilot, network access, high level overview, key directories and key files to understand first.