review

Identify bugs in PRs and commit diffs across SQL safety, race conditions, LLM trust boundaries, and conditional side effects.

1|1|Updated Mar 31, 2026
One-click install
npx skills add https://github.com/putrawitama/DenchClaw --skill review-putrawitama
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: review
Source: https://github.com/putrawitama/DenchClaw/tree/main/skills/gstack/review
Command: npx skills add https://github.com/putrawitama/DenchClaw --skill review-putrawitama

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Finds bugs that CI misses during pre-landing reviews of code changes, helping prevent production failures by surfacing issues early and auto-fixing obvious problems.

Core Features & Use Cases

  • Two-pass review focusing on SQL safety, race conditions, LLM trust boundaries, and conditional side effects.
  • Auto-fix obvious issues and escalate complex findings for human review.
  • Use cases include evaluating PRs and commits for scope drift, quality gaps, and potential risk areas before merging.

Quick Start

Review the latest pull request diff to auto-fix obvious issues and surface complex findings for human review.

Frequently Asked Questions about review

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I catch race conditions and SQL safety issues in a pull request before merging?

To catch race conditions and SQL safety issues in a pull request, perform a pre-landing code review using a two-pass analysis that compares commit intent against changed files to surface complex findings for human review.

What bugs does CI miss that pre-landing code review can catch?

Pre-landing code review catches bugs CI misses by analyzing LLM trust boundaries, conditional side effects, race conditions, and SQL safety, evaluating commit diffs for scope drift and potential risk areas before integration.

Can I auto-fix obvious issues found during a pull request diff review?

Yes, you can auto-fix obvious issues during a pull request diff review by applying a two-pass analysis that identifies quality gaps and automatically resolves straightforward problems while escalating complex findings.

How do I evaluate scope drift and quality gaps in commit diffs?

Evaluate scope drift and quality gaps in commit diffs by reading commit messages and PR descriptions to compare intent against delivery, identifying potential risk areas before the code lands.

What is the best way to review LLM trust boundaries in code changes?

The best way to review LLM trust boundaries in code changes is to execute a targeted pre-landing review that reads changed files and flags conditional side effects or trust boundary issues for human evaluation.

When should I use a pre-landing review instead of relying solely on CI/CD pipelines?

Use a pre-landing review instead of relying solely on CI/CD pipelines when you need to analyze commit intent, detect scope drift, and catch complex software engineering bugs like race conditions that automated CI tests typically miss.