claude-toolkit / rules
Cursor rule4 starsChanged 3 months agoMITView on GitHub
TDD protocol for implementing features and fixing bugs — RED/GREEN/REFACTOR phase signals, checkpoint gating, context verification
We split this tdd.mdc into the rules it gives an agent
7 rules. About 0 are common, 6 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈6
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
- Distinctive: line 21
Before any REFACTOR touching > 3 files or > 50 LOC:
- Distinctive: line 23
Ask human to review diff and commit
- Distinctive: line 24
Wait for confirmation before proceeding
- Distinctive: line 32
If any missing → ask before writing code.
- Distinctive: line 35
Run language-appropriate scans before claiming implementation is complete:
- Distinctive: line 37
Use the language-specific rule (go.mdc, etc.) for exact scan commands
- Very specific: line 38
Always run: trivy fs . for filesystem/dependency vulnerability scan
≈ “Common” is an estimate: at least 1 in 5 of the 6,350 Cursor rule 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
--- description: TDD protocol for implementing features and fixing bugs — RED/GREEN/REFACTOR phase signals, checkpoint gating, context verification alwaysApply: false --- # TDD Protocol ## Phase Signals (prefix every implementation response) - `[PLAN]` — designing/specifying before code - `[RED]` — writing or presenting a failing test - `[GREEN]` — writing minimum code to pass the test - `[REFACTOR]` — cleaning up after green, no behavior change - `[CHECKPOINT]` — requesting human commit before large refactor ## Hard Rules - RED before GREEN: never write implementation without a failing test first - One phase per turn: never mix test changes and implementation in the same edit - Fitness function: tests are contracts — never modify tests to make implementation pass - Batch size: each PR ≤ 1 concern; break down first if > 1 ## Checkpoint Protocol Before any REFACTOR touching > 3 files or > 50 LOC: 1. Signal `[CHECKPOINT]` and summarize current GREEN state 2. Ask human to review diff and commit 3. Wait for confirmation before proceeding 4. Begin REFACTOR as a new atomic change after checkpoint ## Context Verification At implementation start, verify you have: - API docs for external services being integrated - Team conventions for the language/framework in use - Existing test patterns in the repo If any missing → ask before writing code. Never guess at APIs or conventions. ## Security Scans (verify phase) Run language-appropriate scans before claiming implementation is complete: - Detect project language from files present (go.mod → Go, package.json → Node, etc.) - Use the language-specific rule (go.mdc, etc.) for exact scan commands - Always run: `trivy fs .` for filesystem/dependency vulnerability scan
Where files are headingNew Cursor rule files have more rules about planning and tracking tasks, and fewer about code style.
Of the Cursor rule files we read, the 3,978 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 repository48 other files it gives its agents.
- .claude/templates/AGENTS.mdAGENTS.md
- docs/agents.mdAGENTS.md
- .claude/CLAUDE.mdCLAUDE.md
- .cursor/rules/core.mdcCursor rule
- .cursor/rules/go.mdcCursor rule
- .cursor/rules/k8s.mdcCursor rule
- .cursor/rules/node.mdcCursor rule
- .cursor/rules/python.mdcCursor rule
- .cursor/rules/rust.mdcCursor rule
- .cursor/rules/workbench.mdcCursor rule
- llms-full.txtllms.txt
- llms.txtllms.txt
- cmux-sprint-orchestratorSkill
- config-auditSkill
- doneSkill
- eurekaSkill
- goalSkill
- go-reviewSkill
- handoffSkill
- js-reviewSkill
- k8s-debugSkill
- k8s-reviewSkill
- kickoffSkill
- pr-review-ingestSkill
- pr-reviewSkill
- python-reviewSkill
- reflectionSkill
- skill-evalSkill
- tdd-protocolSkill
- team-executeSkill
- team-planSkill
- team-shutdownSkill
- test-reviewSkill
- validate-recommendationSkill
- worktree-guideSkill
- babysitSkill
- canvasSkill
- create-hookSkill
- create-ruleSkill
- create-skillSkill
- create-subagentSkill
- migrate-to-skillsSkill
- sdkSkill
- shellSkill
- split-to-prsSkill
- statuslineSkill
- update-cli-configSkill
- update-cursor-settingsSkill
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.

