gsd-audit-fix

Automate auditing and auto-fixing of software quality issues with atomic commits.

Updated Mar 15, 2026
One-click install
npx skills add https://github.com/Poom5741/eggo-world-pb --skill gsd-audit-fix-poom5741
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gsd-audit-fix
Source: https://github.com/Poom5741/eggo-world-pb/tree/main/.qwen/skills/gsd-audit-fix
Command: npx skills add https://github.com/Poom5741/eggo-world-pb --skill gsd-audit-fix-poom5741

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automate auditing and auto-fixing of software quality issues to reduce manual triage and accelerate remediation.

Core Features & Use Cases

  • Classify findings into auto-fixable vs manual-only
  • Apply deterministic fixes with test verification and atomic commits
  • Configure severity thresholds and maximum fixes, with optional dry-run mode
  • Real-world use: integrate into CI or local development to progressively improve code quality

Quick Start

Run the gsd-audit-fix workflow against your repository to begin autonomous auditing and fixes.

Frequently Asked Questions about gsd-audit-fix

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

FAQPage Schema
How do I automate auditing and auto-fixing software quality issues in CI?

Automated audit-to-fix pipelines classify findings as auto-fixable or manual-only, apply deterministic fixes with test verification, and commit atomically. This integrates directly into continuous integration workflows and local development to progressively improve code quality.

What is the best way to classify code quality findings before applying automated fixes?

Classifying code quality findings involves evaluating each issue against configurable severity thresholds to determine if it is auto-fixable or manual-only. A dry-run mode can be used to evaluate classification results before any actual code modifications or atomic commits are made.

Can I run an automated code fix pipeline in dry-run mode to limit changes?

Yes, dry-run classification mode allows you to evaluate auto-fixable findings without applying changes. You can also configure maximum fixes and severity thresholds to strictly control the scope of automated remediation and test verification during execution.

How do automated fixes ensure they do not break existing functionality?

Automated fixes ensure stability by applying deterministic execution alongside mandatory test verification. Fixes are only committed atomically if the tests pass, ensuring that the auto-fixable changes do not break existing functionality.

Does this autonomous audit pipeline work for local development environments?

Yes, the autonomous audit pipeline is designed for both continuous integration workflows and local development. It reduces manual triage by classifying findings and applying fixes directly to your repository, satisfying requirements for deterministic execution and test verification.

What are the limitations of using automated fixes for code quality issues?

Automated fixes are limited to issues classified as auto-fixable; manual-only findings require human intervention. Additionally, configurable maximum fixes and severity thresholds cap the remediation scope, meaning large-scale issues may need multiple pipeline runs.