How does the Quality skill handle large codebases without hitting token limits?

It utilizes a three-layer architecture where specialist agents operate in the background and write findings to local JSON files, keeping the main orchestrator conversation thin and efficient.

How do I act on the findings generated by the analysis?

You can use the '/quality plan' command to generate a Quality Improvement Plan, and then use '/quality implement' to automatically create fix documents in your repository.

What kind of specific checks does the AI perform?

The skill runs 42 specific checks across 4 specialized agents, including security (SEC-*), performance (PERF-*), reliability (REL-*), and maintainability (MAINT-*) standards.

Can I run this on only the files I have recently changed?

Yes, the skill features an incremental analysis mode that uses 'git diff' to identify and analyze only changed files, carrying forward unchanged results to maintain a complete score.

Code Quality Analyzer

Name: Code Quality Analyzer
Author: magic-ingredients

bymagic-ingredients

0•

Security & Testing

Performs deep, multi-dimensional code quality audits using automated analyzers and specialized AI agents to generate actionable scores and improvement plans.

The Quality Analysis skill provides a comprehensive evaluation of your codebase across eight critical categories, including security, performance, and maintainability. By orchestrating a three-layer model that combines traditional CLI analyzers with four specialized AI agents, it delivers a weighted quality score and detailed findings without exhausting conversation context. It supports incremental analysis to track changes over time and can automatically generate and implement quality improvement plans to systematically resolve technical debt.

Key Features

01Automated Quality Improvement Plan (QIP) generation that translates findings into actionable fix documents.

020 GitHub stars

03Weighted scoring and grading system (0-100) to baseline project health and track regressions over time.

04Comprehensive 8-category analysis covering Security, Reliability, Performance, Maintainability, Testing, Architecture, Documentation, and Operations.

05Three-layer specialist architecture that uses background agents to analyze code without bloating main conversation context.

06Incremental analysis mode that leverages Git diffs to efficiently scan only changed files while carrying forward previous results.

Use Cases

01Assessing technical debt and architectural integrity before a major production release or code freeze.

02Performing automated security and reliability audits during the code review process to catch vulnerabilities early.

03Establishing quality benchmarks and tracking improvement trends for legacy projects or new repositories.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add magic-ingredients/tiny-brain-releases quality

For use in Claude.ai and ChatGPT

Key Features

01Automated Quality Improvement Plan (QIP) generation that translates findings into actionable fix documents.

020 GitHub stars

03Weighted scoring and grading system (0-100) to baseline project health and track regressions over time.

04Comprehensive 8-category analysis covering Security, Reliability, Performance, Maintainability, Testing, Architecture, Documentation, and Operations.

05Three-layer specialist architecture that uses background agents to analyze code without bloating main conversation context.

06Incremental analysis mode that leverages Git diffs to efficiently scan only changed files while carrying forward previous results.

Use Cases

01Assessing technical debt and architectural integrity before a major production release or code freeze.

02Performing automated security and reliability audits during the code review process to catch vulnerabilities early.

03Establishing quality benchmarks and tracking improvement trends for legacy projects or new repositories.