offline-ux-kit
AGENTS.md0 starsChanged 2 months agoMITView on GitHub
These instructions apply to the entire repository.
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 31,700 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 repository2 other files it gives its agents.
- llms.txtllms.txt
- offline-ux-kitSkill
The file
We split this AGENTS.md into the rules it gives an agent
7 rules. About 1 is common, 2 are distinctive, and 4 are very specific to this project.
≈1
Common · estimate
Many files like this have a rule of this kind.
≈2
Distinctive · estimate
This author's own choices. Worth a look.
4
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 16
Run npm test after runtime, demo, report, packaging, or generated-output changes.
- Very specific: line 17
Run python scripts/validate_repository.py after repository or publication metadata changes.
- Very specific: line 18
Run an available Agent Skill validator after changing SKILL.md or agents/openai.yaml.
- Very specific: line 19
Keep automated checks separate from real-browser acceptance in docs/VALIDATION.md.
- Common: line 24
Do not collect input text, credentials, request bodies, URLs, error details, or imported business data.
- Distinctive: line 25
Do not claim browser persistence, zero network requests, visual quality, or installation triggerability without direct evidence.
- Distinctive: line 26
Do not add a release number or publish a release unless the user explicitly requests it.
≈ “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
Repository Guidance
Scope
These instructions apply to the entire repository.
Source and generated files
assets/offline-ux.jsis the runtime source.examples/demo.htmlis the shared demo source.scripts/build.cjsgeneratesdist/; do not edit generated HTML or sample outputs by hand.SKILL.mdis the Agent workflow entrypoint. Keep detailed contracts inreferences/.
Required checks
- Run
npm testafter runtime, demo, report, packaging, or generated-output changes. - Run
python scripts/validate_repository.pyafter repository or publication metadata changes. - Run an available Agent Skill validator after changing
SKILL.mdoragents/openai.yaml. - Keep automated checks separate from real-browser acceptance in
docs/VALIDATION.md.
Boundaries
- Preserve the local-only, no-automatic-upload behavior.
- Do not collect input text, credentials, request bodies, URLs, error details, or imported business data.
- Do not claim browser persistence, zero network requests, visual quality, or installation triggerability without direct evidence.
- Do not add a release number or publish a release unless the user explicitly requests it.
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.

