requesting-code-review

Catches security vulnerabilities, logic errors, and test regressions in code changes before git commit.

3|Updated Apr 21, 2026
One-click install
npx skills add https://github.com/DarkArty07/Aether-Agents --skill requesting-code-review-darkarty07
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: requesting-code-review
Source: https://github.com/DarkArty07/Aether-Agents/tree/main/home/skills/software-development/requesting-code-review
Command: npx skills add https://github.com/DarkArty07/Aether-Agents --skill requesting-code-review-darkarty07

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill eliminates the risk of shipping insecure or low-quality code by catching security vulnerabilities, logic errors, and test regressions before code is committed to a git repository, removing reliance on manual post-commit review that often misses critical issues.

Core Features & Use Cases

  • Static Security Scans: Automatically detect hardcoded secrets, shell injection risks, unsafe eval/exec calls, and SQL injection patterns in added code lines.
  • Baseline-Aware Quality Checks: Compare test and lint results against pre-change baselines to flag only new regressions introduced by your changes, avoiding false positives from pre-existing issues.
  • Independent Subagent Review: Uses a separate, context-isolated reviewer agent to catch issues the implementer may have missed, with strict fail-closed rules that block commits for any detected security or logic problems.
  • Auto-Fix Loop: Automatically spawns a dedicated fix agent to resolve reported security and logic issues, with a maximum of 2 fix-and-reverify cycles to prevent infinite loops.
  • Use Case: After implementing a new payment processing feature, run this Skill to verify no hardcoded credentials or SQL injection flaws exist before pushing the code to the production repository.

Quick Start

Use the requesting-code-review skill to verify your recent code changes and catch any security or quality issues before you commit them to git.

Frequently Asked Questions about requesting-code-review

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

FAQPage Schema
How do I run a security scan and code review before a git commit?

To run a pre-commit code review and security scan, use this Skill to automatically detect hardcoded secrets, SQL injection, and logic errors in your staged changes. It enforces quality gates by validating security rules and blocking commits if vulnerabilities are found.

Can I automatically fix security vulnerabilities and test regressions before committing code?

Yes, you can automatically fix security vulnerabilities and test regressions before committing code. The Skill spawns a dedicated auto-fix agent that resolves detected issues, running a maximum of two fix-and-reverify cycles to prevent infinite loops.

How do I prevent new code changes from introducing lint or test regressions?

To prevent new code changes from introducing lint or test regressions, the Skill performs baseline-aware quality checks. It compares your test and lint results against pre-change baselines to flag only new regressions, avoiding false positives from pre-existing issues.

Does pre-commit static analysis detect shell injection and hardcoded secrets in staged files?

Pre-commit static analysis does detect shell injection risks, hardcoded secrets, unsafe eval/exec calls, and SQL injection patterns. It scans added code lines during your git verification workflow to ensure high-quality, secure commits.

How does independent subagent code review work for catching logic errors?

Independent subagent code review works by using a separate, context-isolated reviewer agent to catch logic errors the implementer missed. It applies strict fail-closed rules that block git commits for any detected security or logic problems.

What's the best way to enforce security rule validation in a pre-commit workflow?

The best way to enforce security rule validation in a pre-commit workflow is to use an automated verification Skill. It applies static security scans, regression detection, and a bounded auto-fix loop to satisfy requirements for secure, high-quality code commits.