claudinho / rules
Cursor rule35 starsChanged 34 days agoMITView on GitHub
Where untrusted input becomes a domain type, and the rules that hold there
In this repository10 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- .cursor/rules/bundle-bracket-pr.mdcCursor rule
- .cursor/rules/change-discipline.mdcCursor rule
- .cursor/rules/release-discipline.mdcCursor rule
- .cursor/rules/surface-parity.mdcCursor rule
- claudinho-modeSkill
- verify-claudinhoSkill
- claudinho-modeSkill
- verify-claudinhoSkill
The file
Files
--- description: Where untrusted input becomes a domain type, and the rules that hold there globs: packages/core/src/trust/**,packages/core/src/adapters/**,packages/core/src/markets/**,packages/cli/src/statusline.ts,packages/cli/src/marketCache.ts,packages/cli/src/scheduleSlice.ts,packages/cli/src/play.ts,packages/cli/src/ambient.ts alwaysApply: false --- # The trust boundary Feed responses and local cache files are untrusted input. They enter through `packages/core/src/trust/` and leave as a domain type or as a stated reason they could not. Nothing else builds a `Match` or a `MarketSignal` from raw input. The rules of this area are `AGENTS.md` "Conventions" (canonical). Their narration, and what this rule stated that no bullet does, are in `guides/conventions/trust-boundary.md`; the parts on composed windows, team identity and bounds are in `guides/conventions/off-bundle-reads.md`, `guides/conventions/stage-and-teams.md` and `guides/conventions/surfaces.md`.
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.