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 skills/outlinedriven/outline-driven-development/agents-mdnpx skills add OutlineDriven/outline-driven-development --skill agents-mdgit clone --depth 1 https://github.com/OutlineDriven/outline-driven-developmentWrote 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/skills/outlinedriven/outline-driven-development/agents-md)<a href="https://agentmods.dev/skills/outlinedriven/outline-driven-development/agents-md"><img src="https://agentmods.dev/badge/skills/outlinedriven/outline-driven-development/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 5.1 | $0.00065 | $0.05163 |
| Opus 5 | $0.00032 | $0.02582 |
| Sonnet 5 | $0.00013 | $0.01033 |
| Haiku 4.5 | $0.00006 | $0.00516 |
Grade A, and why
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.
Copies of this mod
1 near-identical copy found in the catalogue:
- agents-md — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 171 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agents MD
Contract
| Field | Bound contract |
|---|---|
| Trigger | User asks to set up a repo for agents, add AGENTS.md, audit CLAUDE.md, make a repo agent-friendly, score agent instructions, prune long/generic/stale instructions, or produce a lean pointer-only AGENTS.md |
| Authority | Reversible local write: audit and refactor AGENTS.md, CLAUDE.md, CLAUDE.local.md, and supporting instruction files; apply diffs only after user confirms. Roll back by restoring the pre-edit snapshot taken before any write |
| Side effect | Local write to agent instruction files in the repo; no remote, credential, paid, published, deployed, or VCS mutation |
| Done | Repo has working, scored, non-contradictory AGENTS.md and CLAUDE.md for Claude, Codex, and Cursor; every surviving line passes the three-check admission gate (non-discoverable, operationally significant, actionable); lean variants stay under 100 lines with pointer-only sections |
Inputs
- Required: the repository root path to audit or set up.
- Optional: target tool set (defaults to Claude Code, Codex, and Cursor); audit mode (quick or full, defaults to quick); target grade (defaults to 10/12 for quick, A for full); target file path (defaults to root AGENTS.md, then CLAUDE.md if AGENTS.md absent); scope limit (root-only versus hierarchical); owner name for the lean commit attribution line.
Procedure
AGENTS.md files are execution contracts, not knowledge bases. Every line must help an agent execute correctly with minimal context. AGENTS.md is temporary guidance, not permanent configuration: when a recurring issue has a fixable root cause in code or tooling (a lint rule, test, script, or structural change), prefer that fix and keep only the minimum instruction needed until the root cause is solved.
- Discover files and survey discoverability. Find every agent instruction file in the repo:
Also checkfind . \( -name "AGENTS.md" -o -name "CLAUDE.md" -o -name "CLAUDE.local.md" \) 2>/dev/null | sort~/.claude/CLAUDE.md(applies to every session). For monorepos, include workspace-level files. Audit each level independently: root holds universal rules, child files hold directory-specific rules. Then survey source files to learn what is already discoverable: README, PROJECT.md, cursor rules (.cursor/rules/or.cursorrules), Copilot instructions (.github/copilot-instructions.md), GEMINI.md, CI/workflow files, package manager config, CONTRIBUTING.md, anddocs/. Record what an agent can infer from these alone — anything discoverable need not be restated.- Done when: every instruction file is listed and the discoverability survey records what an agent can learn without AGENTS.md.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 171 lines · 65 tokens per session scan A a497c4d5115b
agents-md is a skill published in the GitHub repository OutlineDriven/outline-driven-development (52 stars, last pushed yesterday), licensed Apache-2.0. It adds 65 tokens to every session and 5,163 once invoked, about $0.0003 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 2026-09-03.
Other skills, from other repositories
fin-brief-generator
根据用户输入或已有研究输出(文献综述/想法报告/新颖性报告),自动生成或更新FINBRIEF.md,减少用户填写负担。.
doc-review
Use when the user asks to review or critique a prose planning document — a plan, spec, PRD, requirements doc, or design doc.
autolearn
Compound a solved problem into a durable in-repo learning doc. Use when a verified non-trivial fix lands, the user says "compound this", "document this fix", or "remember this". This is the automatic-capture entry point; for an explicitly requested one-off write-up, use compound.
deps-upgrade
Use when dependency upgrades need tiered batches for CVEs, a major release, forced compatibility, scheduled hygiene, a pre-release lockfile audit, or a cadence-driven or vulnerability-triggered sweep. Classifies each update on a risk ladder, verifies it, or defers it with a reason. Not for PR queue triage; use…
askme
Explore intent with Verbalized Sampling before planning. Use when the task is ambiguous, you need maximum clarifying questions, or you want collaborative or adversarial mode via /askme.
strict-validation-setup
Use when a user invokes a strict-mode validation or verifiable-goals loop setup. Bootstraps strict-mode tooling and per-task GOALS.md scaffolding so an agentic loop can self-verify. Don't use for remote, credential, publish, deploy, or irreversible changes.