vosslab-skills
AGENTS.md5 starsChanged 21 days agoMITView on GitHub
Canonical rules live in docs/. Read them; this file only points and flags repo quirks.
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 repository47 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- agents-md-fixerSkill
- arch-docsSkill
- book-to-markdownSkill
- docset-updaterSkill
- humanizerSkill
- news-release-docsSkill
- pdf-guideSkill
- readme-docsSkill
- screenshot-docsSkill
- see-also-docsSkill
- setup-install-usage-docsSkill
- bptools-writer-expertSkill
- color-accessibility-expertSkill
- css-creative-expertSkill
- game-design-expertSkill
- geometry-expertSkill
- glass-expertSkill
- hic-human-interact-expertSkill
- openscad-3d-printing-expertSkill
- podman-expertSkill
- postgresql-expertSkill
- pyside6-engineerSkill
- rust-code-expertSkill
- solid-js-expertSkill
- svg-creator-expertSkill
- typescript-engineerSkill
- ui-ux-engineerSkill
- vision-expertSkill
- wasm-rust-expertSkill
- webwork-writer-expertSkill
- delegate-manager-to-subagentsSkill
- gas-town-workflowSkill
- hang-checkSkill
- html-game-parallel-builderSkill
- parallel-planSkill
- stay-busySkill
- repo-rules-readerSkill
- blueprint-plan-drafterSkill
- ideonomy-plainSkill
- ideonomy-richSkill
- make-goalSkill
- modest-plan-drafterSkill
- audit-code-reviewerSkill
- old-python-code-reviewSkill
- prune-testsSkill
- unit-test-starterSkill
The file
We split this AGENTS.md into the rules it gives an agent
3 rules. About 0 are common, 1 is distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 15
Run repo Python tools via source source_me.sh && python3 <path-to-script>.py (Python 3.12 only).
- Very specific: line 18
When changing code, run focused tests on the changed file (tests use the -k flag, e.g.
- Distinctive: line 21
When in doubt, implement the changes the user asked for rather than waiting for a response.
≈ “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
Canonical rules live in docs/. Read them; this file only points and flags repo quirks.
Style and rules
- Repo style: docs/REPO_STYLE.md
- Python style: docs/PYTHON_STYLE.md
- Markdown style: docs/MARKDOWN_STYLE.md
- Pytest style: docs/PYTEST_STYLE.md
- E2E tests: docs/E2E_TESTS.md
- Human guidance: docs/HUMAN_GUIDANCE.md
- Skills index: docs/SKILLS_INDEX.md
Repo quirks
- Run repo Python tools via
source source_me.sh && python3 <path-to-script>.py(Python 3.12 only). This is an AI-agent runtime rule, not a requirement for repo scripts. - Generated files: edit the source, then regenerate; do not hand-edit output.
index_lib/build_all.pyvalidates sidecars and builds the skill index, agent index, and plugin manifests from canonical sources;index_lib/list_loaded_skills.pylists loaded skills. - Preserve existing file content outside the intended edit boundary. Modify files in place, avoid repository-history or staging operations, and record requested changes in docs/CHANGELOG.md.
- When changing code, run focused tests on the changed file (tests use the
-kflag, e.g.pytest test_feature.py -k changed_file.py); documentation changes need no tests.
User directive (overrides defaults)
When in doubt, implement the changes the user asked for rather than waiting for a response; the user is not the best reader and will likely miss your request and then be confused why it was not implemented or fixed.
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.

