Borrowing it
Nothing to install: this file belongs to youssefsz/agentdoctor. 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/youssefsz/agentdoctor/main/AGENTS.mdgit clone --depth 1 https://github.com/youssefsz/agentdoctorWrote 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/youssefsz/agentdoctor/agents-md)<a href="https://agentmods.dev/instructions/youssefsz/agentdoctor/agents-md"><img src="https://agentmods.dev/badge/instructions/youssefsz/agentdoctor/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/youssefsz/agentdoctor/agents-md"><img src="https://agentmods.dev/badge/instructions/youssefsz/agentdoctor/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 | $0.01233 | $0.01233 |
| Opus 5.5 | $0.00493 | $0.00493 |
| Sonnet 5.5 | $0.00247 | $0.00247 |
| Haiku 4.5 | $0.00123 | $0.00123 |
Grade A, and why
agentdoctor 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.
How it starts
The opening of the file, as written. The whole thing — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Instructions
Project overview
AgentDoctor is a Rust 2024 CLI-first workspace that audits repositories for AI coding agent readiness. The project must stay clean, deterministic, cross-platform, and maintainable. Treat this as production-quality developer tooling, not a prototype.
Operating principles
- Prefer the professional, durable solution over a quick patch.
- Keep changes scoped to the requested behavior and avoid unrelated refactors.
- Read the relevant code before editing; do not guess when the repository can answer the question.
- Plan first for ambiguous or multi-file work, then implement.
- Do not leave dead code, fake stubs, unused helpers, TODO-heavy placeholders, or partial implementations that pretend to be complete.
- Make behavior verifiable with tests or a clear command-level check.
- Preserve deterministic output for generated files and reports.
Stack
- Rust 2024 workspace.
clapfor CLI parsing.serde,serde_json, andtomlfor serialization.ignorefor repository walking.directoriesfor platform-native config paths.assert_cmd,tempfile, and fixture repos for tests.
Commands
- format:
cargo fmt --all - format check:
cargo fmt --all -- --check - lint:
cargo clippy --workspace --all-targets -- -D warnings - test:
cargo test --workspace - build:
cargo build --workspace --release
Project structure
crates/agentdoctor-engine/owns scanning, rule execution, scoring, and deterministic init generation.crates/agentdoctor-config/owns global and project configuration loading, saving, and precedence.crates/agentdoctor-report/renders already-built reports only.crates/agentdoctor-cli/owns CLI parsing, prompts, terminal output, exit codes, and user-facing errors.fixtures/contains regression repositories used by tests.scripts/,install.sh, andinstall.ps1contain installer helpers..github/workflows/contains CI and release automation.
Architecture boundaries
- Do not put scanning, rule, scoring, generation, or report-building logic in the CLI crate.
- Do not make report rendering inspect the filesystem or run scan logic.
- Do not make config code print, prompt, scan, or render reports.
- Keep library crates free of terminal styling, prompts, and process exits.
- Add abstractions only when they remove real duplication or clarify ownership.
- Prefer explicit domain types and typed errors in library crates.
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 · 120 lines · 1,233 tokens per session scan A ecccf5b9bdf9
agentdoctor AGENTS.md is an instructions file published in the GitHub repository youssefsz/agentdoctor (8 stars, last pushed 3mo ago), licensed MIT. It adds 1,233 tokens to every session, about $0.0049 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
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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).
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.