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/alchemiststudiosdotai/harness-engineering/agents-md-mappernpx skills add alchemiststudiosDOTai/harness-engineering --skill agents-md-mappergit clone --depth 1 https://github.com/alchemiststudiosDOTai/harness-engineeringWrote 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/alchemiststudiosdotai/harness-engineering/agents-md-mapper)<a href="https://agentmods.dev/skills/alchemiststudiosdotai/harness-engineering/agents-md-mapper"><img src="https://agentmods.dev/badge/skills/alchemiststudiosdotai/harness-engineering/agents-md-mapper.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 | $0.00072 | $0.01559 |
| Opus 5 | $0.00036 | $0.00779 |
| Sonnet 5 | $0.00014 | $0.00312 |
| Haiku 4.5 | $0.00007 | $0.00156 |
Grade A, and why
agents-md-mapper 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 5d 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 — 183 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md Mapper
Overview
Maintain a concise, current AGENTS.md for a repository as the codebase changes. Treat the file as a navigational map for future coding agents: show where to start, where important things live, how to validate changes, and which deeper docs outrank the map.
When to Use
- Create a new
AGENTS.mdfor a repository that does not have one - Refresh an existing
AGENTS.mdthat may be stale after refactors, path moves, package splits, or architecture changes - Update the map after tooling, tests, CI, docs, or ownership signals changed
- Point
AGENTS.mdat new architecture docs, runbooks, or generated references that became the source of truth - Add lightweight checks that detect drift between
AGENTS.mdand repository reality
Core Contract
1. Keep the map compact
- Prefer roughly 90 to 100 lines
- Prefer bullets over paragraphs
- Prefer concrete paths and commands over abstract advice
- Link to deeper docs instead of copying them
2. Treat repository evidence as the source of truth
- Read the repository tree before writing claims about structure
- Read actual config files before listing commands
- Read CI workflows before describing validation
- Read docs and architecture references before summarizing boundaries
- Read recent git history before carrying forward old paths or retired modules
3. Optimize for agent legibility
- Surface entry points, domain boundaries, and validation commands first
- Make the navigation order obvious
- Remove stale or duplicated sections aggressively
- Normalize heading order so future updates stay mechanical
4. Omit unsupported detail
- If evidence is weak, omit the claim
- If a detail is volatile, point to its source doc instead of embedding it
- If two docs disagree, prefer the one supported by current code and CI
Inputs to Inspect
Inspect repository evidence, not guesswork:
- Current top-level tree and major subdirectories
- Key top-level files such as
README,pyproject.toml,package.json,Cargo.toml,Makefile,justfile, or task runner configs - Existing
AGENTS.md, if present ARCHITECTURE.md,docs/, runbooks, plans, references, and generated indexes- CI workflows and automation config
- Recent git history, especially merges, path renames, retired modules, and tooling changes
- Ownership signals such as
CODEOWNERS, package manifests, and boundary-enforcement config
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.
- 5d ago First seen · 183 lines · 72 tokens per session scan A a4beb9f551ff
agents-md-mapper is a skill published in the GitHub repository alchemiststudiosDOTai/harness-engineering (104 stars, last pushed 5mo ago), licensed MIT. It adds 72 tokens to every session and 1,559 once invoked, about $0.0004 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 2026-08-30.
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