Enforce code quality with AI guardrails

LLM-powered quality verification using prompt hooks. Validates commit messages, code patterns, and conventions using AI before allowing operations. Use to set up intelligent guardrails.

Applying Llm Gate patterns and best practices.

• · { "type": "prompt", "if": "Bash(git commit*)", "prompt": "Verify this git commit follows conventional commits: type(scope): summary. Types: feat,fix,refactor,test,docs,chore,perf,ci. Summary und
• · { "type": "prompt", "if": "Bash(rm *)", "prompt": "Check if this rm command is safe. Flag if it uses -rf on important directories (src/, node_modules/, .git/). Input: $ARGUMENTS", "model": "ha

• · Validated data
• · Type-safe object

Tool installed and authenticated, read setup instructions

Invalid API key, malformed payload, rate limiting, schema mismatch

• · Documented examples
• · Testing guidance included