LLM Gate
Skill Verified ActiveLLM-powered quality verification using prompt hooks. Validates commit messages, code patterns, and conventions using AI before allowing operations. Use to set up intelligent guardrails.
To implement AI-driven quality gates that validate operations, enforce conventions, and prevent errors before they occur, enhancing workflow reliability.
Features
- LLM-powered quality verification with prompt hooks
- Validation of commit messages, code patterns, and conventions
- Setup of intelligent guardrails for operations
- Support for 'prompt' and 'agent' hook types
- Example configurations for conventional commits, destructive commands, and secret leaks
Use Cases
- Implementing commit message validation
- Enforcing complex code conventions
- Creating smart guardrails for critical operations
- Preventing accidental secret leaks in file writes
Non-Goals
- Performing code refactoring or automatic code fixes
- Replacing traditional linters or static analysis tools entirely
- Handling general purpose code generation tasks
Workflow
- Identify operations to gate
- Write a focused prompt hook
- Select appropriate LLM model and timeout
- Add hook to hooks.json
- Test hook before deployment
Practices
- Prompt engineering
- AI safety
- Code quality
- Workflow automation
Prerequisites
- Claude Code environment
- A suitable LLM model (Haiku, Sonnet)
Installation
First, add the marketplace
/plugin marketplace add rohitg00/pro-workflow/plugin install pro-workflow@pro-workflowQuality Score
VerifiedTrust Signals
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