Borrowing it
Nothing to install: this file belongs to xyiqq/skilldoctor. 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/xyiqq/skilldoctor/main/AGENTS.mdgit clone --depth 1 https://github.com/xyiqq/skilldoctorWrote 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/xyiqq/skilldoctor/agents-md)<a href="https://agentmods.dev/instructions/xyiqq/skilldoctor/agents-md"><img src="https://agentmods.dev/badge/instructions/xyiqq/skilldoctor/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/xyiqq/skilldoctor/agents-md"><img src="https://agentmods.dev/badge/instructions/xyiqq/skilldoctor/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 | $0.00406 | $0.00406 |
| Opus 5.5 | $0.00162 | $0.00162 |
| Sonnet 5.5 | $0.00081 | $0.00081 |
| Haiku 4.5 | $0.00041 | $0.00041 |
Grade A, and why
skilldoctor 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 1mo 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.
What it actually says
AGENTS.md
Cursor Cloud specific instructions
skilldoctor is a self-contained TypeScript CLI (and GitHub Action) that lints,
audits, and compatibility-checks Agent Skills (SKILL.md). There is no backend,
database, browser UI, or other external service — everything runs locally in the
Node.js process.
Environment
- Requires Node.js >= 18.18 (the VM ships Node 22, which is fine). Uses
npmwithpackage-lock.json; do not switch package managers. - The update script already runs
npm install, so dependencies are present when a session starts. There are no services to launch.
Standard commands (defined in package.json and .github/workflows/ci.yml)
- Typecheck:
npm run typecheck - Tests (Vitest):
npm test(watch:npm run test:watch) - Build (emits to
dist/):npm run build - Full gate (mirrors CI):
npm run ci(typecheck + test + build) - Run from source without building:
npm run dev -- <args>(e.g.npm run dev -- lint examples) - Run the built CLI:
node dist/cli.js <command>(e.g.ci,lint,audit,compat,score,init,rules,explain,fix)
Notes
dist/is committed and is the published artifact (the GitHub Action'saction.ymlpoints atdist/action.js). After changing anything undersrc/, runnpm run buildsodist/stays in sync before committing.- CLI commands exit non-zero when findings meet the
--fail-onthreshold (or when zero skills are found for non-scancommands); this is expected behavior, not an environment failure.
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.
- 1mo ago First seen · 31 lines · 406 tokens per session scan A 84a5bc064b72
skilldoctor AGENTS.md is an instructions file published in the GitHub repository xyiqq/skilldoctor (11 stars, last pushed 2mo ago), licensed MIT. It adds 406 tokens to every session, about $0.0016 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.
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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.