Borrowing it
Nothing to install: this file belongs to Coefficient-work/mcp-doctor. 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/Coefficient-work/mcp-doctor/main/AGENTS.mdgit clone --depth 1 https://github.com/Coefficient-work/mcp-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/coefficient-work/mcp-doctor/agents-md)<a href="https://agentmods.dev/instructions/coefficient-work/mcp-doctor/agents-md"><img src="https://agentmods.dev/badge/instructions/coefficient-work/mcp-doctor/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/coefficient-work/mcp-doctor/agents-md"><img src="https://agentmods.dev/badge/instructions/coefficient-work/mcp-doctor/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 | $0.00736 | $0.00736 |
| Opus 5.5 | $0.00294 | $0.00294 |
| Sonnet 5.5 | $0.00147 | $0.00147 |
| Haiku 4.5 | $0.00074 | $0.00074 |
Grade A, and why
mcp-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 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 — 50 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent guide
Repository: mcp-slim
Codex vs Cursor (agent routing)
Use the codex-vs-cursor skill when choosing the coding agent for a job:
- Cursor — daily IDE (UI, Flutter, Payload admin, TARS ops, fuzzy explore/debug, live diffs)
- Codex — walk-away / async (scoped migrations, schema PRs, batch fixes, large refactors → PR)
Skill: .cursor/skills/codex-vs-cursor/SKILL.md · re-install: bash /Users/louisreid/Documents/tars/scripts/install-codex-vs-cursor-skill.sh
Prompt: Use codex-vs-cursor. Job: … Repo: … Interactive now or walk-away PR?
TARS remote API (Gmail / Drive / Sheets) — mandatory
Always use tars-remote-api for Louis’s Gmail, Miriam’s Gmail (account:"mim" → [email protected]), and Google Drive/Sheets/Docs via Mac mini :3049.
Do not use Cursor plugin-gmail / plugin-google-drive or local Google OAuth in this repo.
Skill: .cursor/skills/tars-remote-api/SKILL.md
Re-install: bash /Users/louisreid/Documents/tars/scripts/install-tars-remote-api-skill.sh
Cursor secrets (Cloud Agent only): REID_REMOTE_TOKEN, MAC_MINI_HOST, TAILSCALE_AUTH_KEY — not injected in Build Locally.
Preflight: bash /Users/louisreid/Documents/tars/scripts/tars-remote-preflight.sh
Hub: tars cross-repo bridge · google-api README
Prompts:
Use tars-remote-api skill. Run preflight, then search Gmail …Use tars-remote-api skill. Run preflight. Search Mim Gmail (account:mim) …Use tars-remote-api skill. Run preflight. Search Drive … (not the Drive plugin)
Cross-machine file fetch (Mini ↔ Air)
When a path is on the other Mac (Mini ↔ Air), use skill cross-machine-fetch
(~/.cursor/skills/cross-machine-fetch · .cursor/skills/cross-machine-fetch).
| Machine | Host alias | IP | User |
|---|---|---|---|
| Mini | mini / roundtableopenclaw |
100.84.168.56 |
roundtableopenclaw |
| Air | air / louiss-macbook-air |
100.83.203.72 |
louisreid |
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 · 50 lines · 736 tokens per session scan A a836cff36770
mcp-doctor AGENTS.md is an instructions file published in the GitHub repository Coefficient-work/mcp-doctor (0 stars, last pushed 2mo ago), licensed MIT. It adds 736 tokens to every session, about $0.0029 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.
mcp-doctor AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| mcp-doctor AGENTS.mdCoefficient-work/mcp-doctor | Instructions file | 0 | 2mo ago | MIT | A | 736 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |