manifest
AGENTS.md1 starsChanged 3 months agoMITView on GitHub
This repo IS a skill. SKILL.md at the root is the product; everything else is packaging and proof. - SKILL.md is canonical. skills/manifest/SKILL.md is a plugin-layout copy. After editing the root file: cp SKILL.md skills/manifest/SKILL.md. CI diffs them. - No em dashes anywhere. Use plain -. CI greps for it. - Every change to SKILL.md needs an eval run before merge: python3 evals/run.py --model sonnet --judge-model sonnet --workers 6 Pass criteria: vs the committed baseline, helpless(A=0) not up, fabricated(H=0) not…
Where files are headingNew AGENTS.md files have more rules about keeping secrets out of the code, and fewer about code style.
Of the AGENTS.md files we read, the 31,542 first seen in the last six months, against the older ones: the kind of rule that gained most share, and the kind that lost most. About files like this in general, not this one, and an estimate, since a kind is a pattern in the words.
The file
We split this AGENTS.md into the rules it gives an agent
3 rules. About 0 are common, 0 are distinctive, and 3 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈0
Distinctive · estimate
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 9
After editing the root file: cp SKILL.md skills/manifest/SKILL.md.
- Very specific: line 10
No em dashes anywhere. Use plain -.
- Very specific: line 11
Every change to SKILL.md needs an eval run before merge: python3 evals/run.py --model sonnet --judge-model sonnet --workers 6 Pass …
≈ “Common” is an estimate: at least 1 in 5 of the 40,246 AGENTS.md files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
manifest - agent instructions
This repo IS a skill.
SKILL.md at the root is the product; everything else is packaging and proof.
Working on this repo
SKILL.mdis canonical.skills/manifest/SKILL.mdis a plugin-layout copy. After editing the root file:cp SKILL.md skills/manifest/SKILL.md. CI diffs them.- No em dashes anywhere. Use plain
-. CI greps for it. - Every change to
SKILL.mdneeds an eval run before merge:python3 evals/run.py --model sonnet --judge-model sonnet --workers 6Pass criteria: vs the committed baseline, helpless(A=0) not up, fabricated(H=0) not up, disguised_solvable A/H not down. Commit the results JSON. - The honesty floor section of the skill is load-bearing. Do not weaken it to boost attempt scores.
- Eval harness is stdlib-only Python 3.9+. Keep it that way; no requirements.txt.
Layout
| Path | Role |
SKILL.md | The skill (canonical) |
skills/manifest/SKILL.md | Plugin copy, must match root |
commands/manifest.md | /manifest slash command |
.claude-plugin/ | Claude Code plugin + marketplace manifests |
evals/prompts.json | 5 categories, 17 prompts |
evals/run.py | A/B runner + LLM judge |
evals/results/ | Committed benchmark evidence |
install.sh | Manual installer for ~/.claude |
Testing your changes to the skill quickly
Smoke (4 calls): python3 evals/run.py --category truly_impossible --limit 1 --model haiku --judge-model haiku
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

