Audit JavaScript, TypeScript, Java, Python, or Go codebases across 11 dimensions.
npx skills add https://github.com/OmexIT/claude-skills-pack --skill code-audit-omexit
Please help me install this Agent Skill. Skill: code-audit Source: https://github.com/OmexIT/claude-skills-pack/tree/main/skills/code-audit Command: npx skills add https://github.com/OmexIT/claude-skills-pack --skill code-audit-omexit
Orchestrates a multi-agent, cross-dimension code-audit workflow to surface findings and a remediation roadmap for existing code.
Run the /code-audit command on your codebase to generate a findings report, quality scorecard, and improvement roadmap.
High-intent search queries and answers about installing and using this skill.
A multi-dimension code audit analyzes existing JavaScript, TypeScript, Java, Python, or Go implementations across 11 dimensions including code smells, SOLID, security, and performance. It surfaces structured findings and produces a quality scorecard with a remediation roadmap.
Assessing technical debt and code quality before a merge requires a cross-dimension audit that evaluates architecture, security, and duplication. This generates a findings report with severity ratings and an actionable improvement roadmap for remediation.
Yes, you can run a security and performance code audit on module- or project-scale Go codebases. The analysis covers algorithms, design patterns, architecture, and technology choices, producing a quality scorecard and structured findings for post-incident reviews.
An automated code audit generates a remediation roadmap by applying a 10-dimension agent analysis to surface findings, rate severities, and compile a scorecard. It then outputs an actionable improvement roadmap without applying inline fixes.
No, this code audit does not apply inline fixes. Findings are routed to downstream code-generator workflows or ticketing processes for remediation, keeping the audit phase focused on analysis, scorecard generation, and roadmap creation.
A comprehensive code quality scorecard covers 11 dimensions: code smells, SOLID principles, duplication, algorithms, security, performance, design patterns, architecture, technology, tests, and skepticism to evaluate overall implementation health.
DonTiziAutomate code reviews for pull requests across multi-language repositories.
lacetoReview code for cognitive debt, maintainability, performance, and security issues.
NoobyGainsEnforce code quality standards across pre-commit, pre-merge, and CI pipeline stages.
PriyanshKuniyalConfigures and manages SAST tools for automated vulnerability detection in CI/CD pipelines.
