How to Audit a GitHub Repository Step by Step

Most GitHub repositories score below 40 out of 100 on a basic health check. Missing license files, empty descriptions, no community health files, and zero keyword optimization are the norm rather than the exception. The Claude GitHub audit command was built to identify and fix every one of these gaps in a single pass.

This walkthrough covers the full audit process from running the command to interpreting your score and prioritizing which fixes to apply first.

What the Audit Command Does

Running /github audit in Claude Code spawns 6 specialized scoring agents that evaluate your repository in parallel. Each agent focuses on one category with a detailed rubric containing specific point values. The agents run simultaneously, so the entire process completes in under two minutes rather than running each check one after another.

The 6 agents are independent sub-processes, each with its own context window. They read your repository files, check GitHub API metadata, and score against a predefined rubric. When all 6 finish, Claude GitHub merges the results into a single report with a weighted composite score.

The 6 Scoring Categories

README Quality - 25% Weight

This is the highest-weighted category because your README is the primary surface that developers, search engines, and AI assistants use to understand your project. The agent checks for a clear project title in the first heading, a concise description within the first paragraph, a table of contents for longer files, structured headings using H2 and H3 hierarchy, installation instructions with copy-paste commands, usage examples with code blocks, badge presence for build status and version, and a contributing section that links to CONTRIBUTING.md.

Repositories with no README or a single-paragraph README typically score 0-5 in this category. A well-structured README with all elements present scores 20-25. For a deep dive on README writing, see our guide on README optimization for search and AI.

Metadata and Discovery - 20% Weight

GitHub uses repository metadata to power its search and Explore features. The agent checks your repository description for keyword presence and length, topic tags (the labels you set in Settings), homepage URL configuration, and feature toggles like Issues, Wiki, and Discussions. Repositories with empty descriptions and no topics are invisible in GitHub search results. The GitHub SEO keywords guide covers how to find the right terms to target.

Legal Compliance - 15% Weight

Open source projects need clear licensing to encourage adoption. The agent verifies the presence of a LICENSE or LICENSE.md file, checks for SECURITY.md with a vulnerability reporting process, looks for CITATION.cff for academic references, and validates fork compliance when your project is a fork. Missing a license file is the single most common issue found in audits. Without one, your code is technically all-rights-reserved by default, which discourages contributions and forks.

Community Health - 15% Weight

GitHub displays a "Community Standards" checklist on every repository. The agent evaluates issue templates in the .github/ISSUE_TEMPLATE directory, CONTRIBUTING.md with contribution guidelines, CODE_OF_CONDUCT.md for community standards, pull request templates, .gitattributes for line ending handling, and devcontainer configuration for codespaces. These files signal project maturity to both human contributors and automated analysis tools.

Release and Maintenance - 15% Weight

Active maintenance signals are important for trust and discoverability. The agent checks for GitHub Releases with proper semantic versioning, CHANGELOG.md or CHANGELOG tracking changes, CI badges showing build and test status, dependabot or renovate configuration for dependency updates, and recent commit activity. A repository with tagged releases and a maintained changelog scores significantly higher than one with only raw commits.

SEO and Discoverability - 10% Weight

This category evaluates how well your repository is positioned for search engines and AI systems. The agent analyzes keyword placement density in your README headings and first paragraph, GitHub Explore eligibility signals, structured data patterns that AI assistants can extract, and cross-linking between your repositories. While this category has the lowest weight, it has a multiplier effect on all other categories because better discoverability means more users find your improved README, releases, and community files.

How the Score is Calculated

Each category agent returns a score from 0 to its maximum weight. The final score is a simple weighted sum:

• README Quality: up to 25 points
• Metadata and Discovery: up to 20 points
• Legal Compliance: up to 15 points
• Community Health: up to 15 points
• Release and Maintenance: up to 15 points
• SEO and Discoverability: up to 10 points

A perfect score is 100. Most repositories without any optimization score between 15 and 35. After running through the full standard operating procedure, scores typically reach 75-95.

Reading Your Audit Report

The audit report includes three sections: a score summary table showing each category with its current score and maximum, a gap analysis listing every missing or incomplete element, and a numbered remediation plan ordered by impact. The remediation plan is the actionable part. It tells you exactly which Claude GitHub command to run next and what it will generate. The highest-impact fixes come first, so working through the list in order gives you the fastest path to a higher score.

The Standard Operating Procedure

After the audit, the recommended workflow follows this sequence:

1. /github legal - set up license, SECURITY.md, and CITATION.cff
2. /github community - generate issue templates, CONTRIBUTING.md, and CODE_OF_CONDUCT.md
3. /github release - create CHANGELOG, set up versioning and CI badges
4. /github seo - research keywords with real search volume data
5. /github meta - optimize description, topics, and feature toggles
6. /github readme - rewrite the README using everything above
7. /github audit - re-audit to measure improvement

Each command generates production-ready files. Nothing is left as a placeholder. Every output is ready to commit immediately.

Portfolio-Level Audits

For auditing multiple repositories at once, run /github audit username with your GitHub username. This scans all public repositories, ranks them by activity and stars, and selects the top candidates for deep analysis. The output is a cross-portfolio report that highlights patterns shared across repos, like missing licenses everywhere or inconsistent topic tagging. After fixing individual repositories, use /github empire for profile-level optimization including a profile README and cross-linking strategy.