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LLM Gate

技能 已验证 活跃

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.

目的

To implement AI-driven quality gates that validate operations, enforce conventions, and prevent errors before they occur, enhancing workflow reliability.

功能

  • 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

使用场景

  • Implementing commit message validation
  • Enforcing complex code conventions
  • Creating smart guardrails for critical operations
  • Preventing accidental secret leaks in file writes

非目标

  • Performing code refactoring or automatic code fixes
  • Replacing traditional linters or static analysis tools entirely
  • Handling general purpose code generation tasks

工作流

  1. Identify operations to gate
  2. Write a focused prompt hook
  3. Select appropriate LLM model and timeout
  4. Add hook to hooks.json
  5. Test hook before deployment

实践

  • Prompt engineering
  • AI safety
  • Code quality
  • Workflow automation

先决条件

  • Claude Code environment
  • A suitable LLM model (Haiku, Sonnet)

安装

请先添加 Marketplace

/plugin marketplace add rohitg00/pro-workflow
/plugin install pro-workflow@pro-workflow

质量评分

已验证
98 /100
about 24 hours ago 分析

信任信号

最近提交3 days ago
星标2.1k
许可证MIT
状态
查看源代码

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