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/fmind/agent-docs/agents-mdgit clone --depth 1 https://github.com/fmind/agent-docsWhat 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 | $0.00934 | $0.00934 |
| Opus 5 | $0.00467 | $0.00467 |
| Sonnet 5 | $0.00187 | $0.00187 |
| Haiku 4.5 | $0.00093 | $0.00093 |
Grade A, and why
agent-docs 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 yesterday.
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 — 38 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Overview
- agent-docs ships three skills (
/gather-agent-docs,/use-agent-docs,/refresh-agent-docs) that give a coding agent a curated, on-disk reference for the project's key topics — answer locally before web-searching. - Skills are file-based and harness-agnostic: the same
skills/tree works in Claude Code, Gemini CLI, GitHub Copilot, and OpenCode. - End-user state lives in
.agents/docs/INDEX.mdplus one<topic>/DOC.mdper topic and optional<SUBTOPIC>.mdsibling files. Each page opens with YAML frontmatter (last_verified, optionalupstream_commit,sources.{docs,repo,changelog,release});INDEX.md's per-topic date is the oldestlast_verifiedamong the topic's files.
Conventions
-
Line caps. Skill files exist to be loaded by an agent on every run; verbosity directly costs context budget. Targets:
skills/*/SKILL.md— ≤ 110 lines- Project-root markdown (
README.md,AGENTS.md) — uncapped, but tighten when it sprawls
When a file approaches its cap, prefer cutting motivational/explanatory prose over removing structural rules. Each rule should be stated once, in the imperative, in the file the agent loads when it needs it. The "why" lives in commit messages and PR descriptions.
-
Lint. Run
npm run lintto validate changes — Prettier formatting plus markdownlint-cli2.pre-commitand CI run the same hook. -
Voice. Skill bodies address the agent in the imperative ("Read X, then write Y"). Avoid second-person flavor text aimed at the human reader — that belongs in the README.
-
Capture vs. link. The
gather-agent-docsrules apply to this repo's own behavior: build the documentation map by default (T1: page title + URL + one-line hook); capture paste-ready snippets only on request (T2: capped at ~5 per topic, each with a per-block source link); link out (never capture) for volatile values like model IDs and pricing (T3); copy verbatim from upstream just fetched in this session (never paraphrase, infer, or auto-complete); keep pages reusable across projects.
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.
- yesterday First seen · 38 lines · 934 tokens per session scan A 54a1d91c7bb4
agent-docs AGENTS.md is an instructions file published in the GitHub repository fmind/agent-docs (3 stars, last pushed 3mo ago), licensed MIT. It adds 934 tokens to every session, about $0.0047 per session on Opus 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
ontology-atlas AGENTS.md
Instructions for wlsdks/ontology-atlas, covering agents.md — ontology-atlas, product and non-negotiable architecture, start here, structure and routes and operating gates and skills.
ephemeral-sandbox CLAUDE.md
Instructions for Ephemeral-AI-Lab/ephemeral-sandbox, covering claude.md, project, engineering practice (required), build & test and sandbox tools.
matt-skills-with-to-goal CLAUDE.md
Instructions for tt-a1i/matt-skills-with-to-goal: Skills are organized into bucket folders under skills/.
coral CLAUDE.md
Instructions for cdknorow/coral, covering claude.md - coral go, mission, testing, go unit tests and legacy parity tools (historical reference).
pixir CLAUDE.md
Instructions for Ranvier-Technologies/pixir, covering pixir harness - legacy agent guide, current map and commands.
Agent-Memory-Bridge AGENTS.md
Instructions for zzhang82/Agent-Memory-Bridge, covering agent memory bridge contributor instructions, setup and checks, architecture boundaries, mutation and migration invariants and benchmark expectations.