By Sungmin-Cho
Independent Evaluator for AI coding agents — cross-model code review with Codex integration
Uses power tools
Uses Bash, Write, or Edit tools
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Evidence-Driven Development Protocol — 24 command-equivalent skill surfaces plus a skill-native deep-work entry alias (cross-platform: Claude Code skills + Codex / Copilot CLI / Gemini CLI / SDK), 3-layer architecture with Skill-based phase dispatch, computational enforcement (worktree guard + phase transition injection), TDD enforcement, and receipt validation
Autonomous Experimentation Protocol — goal-driven experiment loops that systematically improve any project through measured code modifications
LLM-managed markdown wiki for persistent knowledge accumulation — based on Karpathy's LLM Wiki philosophy. 5 skill-based entry surfaces (cross-platform: Claude Code slash + Codex/Copilot CLI/Gemini CLI/SDK via Skill()).
Document gardening agent — validates freshness and auto-repairs CLAUDE.md, AGENTS.md, and project docs
npx claudepluginhub sungmin-cho/claude-deep-suite --plugin deep-review使用多個專門代理進行自動化程式碼審查,配備基於置信度的評分系統以過濾誤報
Multi-agent code review for Claude Code — parallel review by Codex (GPT-5.5), Gemini 3.1 Pro, and five Claude specialist subagents (one run blind), then verified synthesis.
AI-powered code review analysis — Run three-level AI analysis and implement-review-fix loops directly in your coding agent. Works standalone, no server required.
Evidence-driven development pipeline with multi-model code review
Multi-lens code review pipeline: deep review (Claude or Codex), automated fix loop, interactive walkthrough, manual promote, external-finding injection.
Independent plan/spec reviewer for AI coding agents. Verifies claims against the workspace and returns structured verdicts with findings.