modal-skill
CLAUDE.md0 starsChanged 44 days agoMITView on GitHub
This repo ships one Agent Skill, skills/modal/, with thin per-platform manifests (.claude-plugin/, .codex-plugin/, .agents/plugins/, root plugin.json), following https://github.com/nagisanzenin/omniplugin. - The skill folder is the portable core and must stay self-contained: SKILL.md, references/, scripts/. Never make it depend on files outside skills/modal/. - Scripts stay stdlib-only. Run python3 skills/modal/scripts/selftest.py before every commit. - Every rule needs a receipt: a new lesson goes into references/lessons.md as symptom → cause → fix, with the date. - Modal facts are dated (client 1.5.5, 2026-09-30).…
In this repositoryOne other file it gives its agents.
- modalSkill
The file
We split this CLAUDE.md into the rules it gives an agent
2 rules. About 0 are common, 1 is distinctive, and 1 is 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.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 9
Every rule needs a receipt: a new lesson goes into references/lessons.md as symptom → cause → fix, with the date.
- Distinctive: line 14
Before adding a root-level file or directory, check which platforms scan that name (omniplugin rule R9).
≈ “Common” is an estimate: at least 1 in 5 of the 26,980 CLAUDE.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
modal-skill: maintainer notes
This repo ships one Agent Skill, skills/modal/, with thin per-platform manifests (.claude-plugin/, .codex-plugin/,
.agents/plugins/, root plugin.json), following https://github.com/nagisanzenin/omniplugin.
- The skill folder is the portable core and must stay self-contained:
SKILL.md,references/,scripts/. Never make it depend on files outsideskills/modal/. - Scripts stay stdlib-only. Run
python3 skills/modal/scripts/selftest.pybefore every commit. - Every rule needs a receipt: a new lesson goes into
references/lessons.mdas symptom → cause → fix, with the date. - Modal facts are dated (client 1.5.5, 2026-09-30). When you touch one, re-check it against
modal --helpor modal.com/docs and update the date in README "Scope". - Release: bump
versionin.claude-plugin/plugin.jsonand.codex-plugin/plugin.jsontogether, update README honest status, tagvX.Y.Z. - Before adding a root-level file or directory, check which platforms scan that name (omniplugin rule R9).
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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- It worked
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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.

