skillgate
AGENTS.md1 starsChanged 32 days agoApache-2.0View on GitHub
Local Apache-2.0 gate for Agent Skills. One pack on disk + skillgate check (exit 0/1). No account. PyPI package: skillgate-ai. Hosted product lives in the private skillgate-ai repo. Docker: docker build -t skillgate:test --target runtime . then docker run --rm -v "$PWD/skills/pdf:/pack" skillgate:test. Always apply the skills in .cursor/skills: plan-mode, clean-coder, test-driven-vibe, frontend-design (UI), error-driven-debugger (bugs). Run tests locally and push only when green.
- Installs packages
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 31,774 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.
In this repository13 other files it gives its agents.
- clean-coderSkill
- error-driven-debuggerSkill
- frontend-designSkill
- plan-modeSkill
- test-driven-vibeSkill
- json-response-sabotagedSkill
- json-responseSkill
- log-summarizerSkill
- pdf-sabotagedSkill
- pdfSkill
- readme-writerSkill
- receipt-extractorSkill
- sql-writerSkill
The file
We split this AGENTS.md into the rules it gives an agent
1 rule. About 0 are common, 0 are distinctive, and 1 is 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.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 35
Always apply the skills in .cursor/skills: plan-mode, clean-coder, test-driven-vibe, frontend-design (UI), error-driven-debugger (bugs).
≈ “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
AGENTS.md — skillgate (OSS)
Local Apache-2.0 gate for Agent Skills. One pack on disk + skillgate check (exit 0/1). No account. PyPI package: skillgate-ai. Hosted product lives in the private skillgate-ai repo.
Stack
- Python ≥ 3.11 (
src/skillgate_ai/), CLI via Typer (skillgate/skillgate-ai) - Optional local UI:
skillgate ui(stdlib server + static assets undersrc/skillgate_ai/local_ui/) - Docker image ENTRYPOINT is
skillgate; default CMD ischeck /pack
Layout
src/skillgate_ai/— package (CLI, gate, judges, local UI, sync/helper)tests/— pytestskills/— seed packs (pdf,pdf-sabotaged)docs/— quickstart, pack schema, plansscripts/— maintainer helpers.github/workflows/gate.yml— CI
Commands (from repo root)
python3 -m venv .venv && source .venv/bin/activate
pip install -e ".[dev]"
pytest -q
skillgate check skills/pdf
skillgate check skills/pdf-sabotaged --expect-fail
ruff check . # optional; ruff is a dev depDocker: docker build -t skillgate:test --target runtime . then docker run --rm -v "$PWD/skills/pdf:/pack" skillgate:test.
Agent skills
Always apply the skills in .cursor/skills: plan-mode, clean-coder, test-driven-vibe, frontend-design (UI), error-driven-debugger (bugs). Run tests locally and push only when green.
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.

