ce-code-review

Automate code review with confidence-gated fixes and structured JSON findings.

14|3|Updated May 7, 2026
One-click install
npx skills add https://github.com/Ouro-labs/ouroboros-plugins --skill ce-code-review-ouro-labs
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ce-code-review
Source: https://github.com/Ouro-labs/ouroboros-plugins/tree/main/plugins/compound-engineering/assets/skills/ce-code-review
Command: npx skills add https://github.com/Ouro-labs/ouroboros-plugins --skill ce-code-review-ouro-labs

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pypdf, pdfplumber, pdf2image, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the process of code reviews by using tiered persona agents, confidence-gated findings, and a merge/dedup pipeline, saving time and reducing manual effort.

Core Features & Use Cases

  • Structured Code Review: Utilizes dynamic reviewer personas and parallel sub-agents to return structured JSON findings.
  • Confidence-Gated Fixes: Applies only policy-allowed 'safe_auto' fixes automatically.
  • Merge/Dedup Pipeline: Merges and deduplicates findings into a single report.
  • Use Case: Before creating a PR or after completing a task during iterative implementation, use this Skill to get structured feedback on your code changes.

Quick Start

Run the ce-code-review skill with the argument 'mode:autofix' to perform an automated code review with fix suggestions.

Frequently Asked Questions about ce-code-review

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

FAQPage Schema
How do I automate code review with fix suggestions before creating a PR?

You can automate code review with fix suggestions by running the tool using the 'mode:autofix' argument. This triggers confidence-gated automated fixes that apply only policy-allowed safe_auto corrections to your code changes.

What is confidence-gated automated code review and how does it work?

Confidence-gated automated code review evaluates code quality and security by applying tiered reviewer personas. It only applies fixes deemed safe by policy thresholds, then merges and deduplicates findings into a single structured report.

How do I get structured findings from an automated code review?

You get structured findings from an automated code review by utilizing dynamic reviewer personas and parallel sub-agents. These components analyze your code changes and return structured JSON findings detailing quality, security, and compliance issues.

Can I use automated code review for iterative implementation during software development?

Yes, you can use automated code review during iterative implementation. It is designed to provide structured feedback on code changes after completing a task or before creating a PR, ensuring code quality and compliance with project standards.

Does the code review process support generating a single comprehensive report?

Yes, the code review process supports generating a single comprehensive report through its merge and dedup pipeline. This pipeline consolidates all findings from parallel sub-agents into one unified report for easier analysis.

What are the limitations of confidence-gated fixes in automated code review?

The main limitation of confidence-gated fixes is that they only apply policy-allowed 'safe_auto' fixes automatically. Complex compliance or security issues requiring manual intervention are flagged in the structured findings but not auto-corrected.