code-review

Evaluate pull requests for security patterns and produce PASS/FAIL reports with line references.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/maxwalser001-del/shieldpilot --skill code-review-maxwalser001-del
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: code-review
Source: https://github.com/maxwalser001-del/shieldpilot/tree/main/.claude/skills/code-review
Command: npx skills add https://github.com/maxwalser001-del/shieldpilot --skill code-review-maxwalser001-del

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

ShieldPilot's code review checklist enables agents to assess changes to code and enforce security, reliability, and quality before merging, reducing risk and surfacing actionable fixes.

Core Features & Use Cases

  • Checklist-driven evaluation that produces PASS/FAIL with specific line references.
  • Severity-based findings with concrete remediation guidance.
  • Structured output suitable for audit trails and automation in PR workflows.

Quick Start

Describe the changes in the pull request and ask the AI to generate a structured PASS/FAIL code review report.

Frequently Asked Questions about code-review

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

FAQPage Schema
How do I automate AI code review for pull requests to improve security?

AI code review for pull requests applies a checklist-driven evaluation to changes, producing a structured PASS/FAIL report with severity levels, traceable line references, and remediation hints for secure merging.

What is checklist-driven code review and how does it work?

Checklist-driven code review evaluates pull requests against security and quality criteria such as XSS, auth guards, and rate limiting, generating a structured output with specific line references and severity-based findings.

Can I use automated code review for dependency patterns and auth guards?

Automated code review evaluates dependency patterns and auth guards across repositories by applying security checklists to pull requests, producing a clear PASS/FAIL result with concrete remediation guidance for compliant merging.

How do I generate a structured PASS/FAIL code review report for audit trails?

To generate a structured PASS/FAIL code review report, describe the pull request changes and apply the checklist evaluation to receive traceable line references, severity levels, and remediation hints suitable for audit trails and automation.

Does structured AI code review output work with downstream PR automation?

Structured AI code review output is designed for downstream automation in PR workflows, providing a clear PASS/FAIL format with severity-based findings and remediation guidance compatible with automated merge enforcement.

When do I need structured code review for secure and compliant merging?

Structured code review for secure merging is needed when evaluating pull requests for XSS, auth guards, rate limiting, and dependency patterns to ensure changes enforce security, reliability, and quality before merging.