Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/lamguo/agent-context-doctor/agents-mdgit clone --depth 1 https://github.com/lamguo/agent-context-doctorWrote 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/lamguo/agent-context-doctor/agents-md)<a href="https://agentmods.dev/instructions/lamguo/agent-context-doctor/agents-md"><img src="https://agentmods.dev/badge/instructions/lamguo/agent-context-doctor/agents-md.svg" alt="Measured on agentmods" 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 | $0.00367 | $0.00367 |
| Opus 5 | $0.00183 | $0.00183 |
| Sonnet 5 | $0.00073 | $0.00073 |
| Haiku 4.5 | $0.00037 | $0.00037 |
Grade A, and why
agent-context-doctor 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 4d 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.
This is a copy
88% identical to agent-context-doctor copilot-instructions.md — 10 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
AGENTS.md
Project Overview
Agent Context Doctor is a Python CLI that audits, generates, syncs, repairs, and packages repository context files for AI coding agents.
Setup Commands
python -m pip install -e .[dev]
Development Commands
pytest
agentctx scan
agentctx verify --min-score 90
agentctx sync --check
agentctx pack --stdout
agentctx badge
agentctx doctor
Project Structure
src/agentctx/- source code for the CLI package.tests/- pytest test suite.docs/- additional documentation..github/workflows/ci.yml- GitHub Actions workflow.
Coding Guidelines
- Keep the package zero-runtime-dependency unless there is a strong reason to add one.
- Prefer small, focused functions over large command handlers.
- Keep CLI output stable and readable.
- Keep JSON output stable and script-friendly.
- Keep
scanhuman-oriented andverifyCI-oriented. - Keep
agentctx doctor --fixsafe: no deletion and no overwriting user-authored content outside markers. - Avoid network calls in runtime code.
Testing Instructions
Run the full test suite before completing changes:
pytest
Also run a CLI smoke test:
agentctx verify --min-score 90
agentctx sync --check
Security Notes
- Do not collect or upload repository contents.
- Do not commit secrets, API keys, credentials, or private generated files.
- Treat all scanned file contents as local-only data.
Handoff Notes
Before ending a long session, update HANDOFF.md or run:
agentctx handoff
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.
- 4d ago First seen · 70 lines · 367 tokens per session scan A 0b090331881e
agent-context-doctor AGENTS.md is an instructions file published in the GitHub repository lamguo/agent-context-doctor (1 stars, last pushed 2mo ago), licensed MIT. It adds 367 tokens to every session, about $0.0018 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to agent-context-doctor copilot-instructions.md, differing in 10 lines, and is treated as a copy.
Other instructions, from other repositories
cursor-os AGENTS.md
Instructions for KingEmma7/cursor-os, covering agents.md — cursor-os, what this project is, repository layout, working agreements and verification before done.
agent-rulescope AGENTS.md
AGENTS.md instructions for 13624725933/agent-rulescope, a project described as: See exactly which instructions your coding agent inherits. Scan AGENTS.md, CLAUDE.md, Cursor and Copilot rules.
agent-rulescope tests.instructions.md
Instructions for 13624725933/agent-rulescope, a project described as: See exactly which instructions your coding agent inherits. Scan AGENTS.md, CLAUDE.md, Cursor and Copilot rules.
agent-rulescope copilot-instructions.md
Copilot instructions for 13624725933/agent-rulescope, a project described as: See exactly which instructions your coding agent inherits. Scan AGENTS.md, CLAUDE.md, Cursor and Copilot rules.
agents-md-templates AGENTS.md
Instructions for abhishekray07/agents-md-templates, covering agents.md, project, structure, conventions and don't.
LynxPrompt CLAUDE.md
Claude Code instructions for GeiserX/LynxPrompt, covering claude.md - ai agent instructions for lynxprompt, 🚀 release process (critical - read carefully), understanding the release pipeline, step-by-step release process and 1. switch to develop branch.