repo-scan

Every ecosystem has its own dependency manager, but no tool looks across C++, Android, iOS, and Web to tell you: how much code is actually yours, what's third-party, and what's dead weight.

When to Use

• Taking over a large legacy codebase and need a structural overview
• Before major refactoring — identify what's core, what's duplicate, what's dead
• Auditing third-party dependencies embedded directly in source (not declared in package managers)
• Preparing architecture decision records for monorepo reorganization

Installation

# Fetch only the pinned commit for reproducibility
mkdir -p ~/.claude/skills/repo-scan
git init repo-scan
cd repo-scan
git remote add origin https://github.com/haibindev/repo-scan.git
git fetch --depth 1 origin 2742664
git checkout --detach FETCH_HEAD
cp -r . ~/.claude/skills/repo-scan

Review the source before installing any agent skill.

Core Capabilities

Capability	Description
Cross-stack scanning	C/C++, Java/Android, iOS (OC/Swift), Web (TS/JS/Vue) in one pass
File classification	Every file tagged as project code, third-party, or build artifact
Library detection	50+ known libraries (FFmpeg, Boost, OpenSSL…) with version extraction
Four-level verdicts	Core Asset / Extract & Merge / Rebuild / Deprecate
HTML reports	Interactive dark-theme pages with drill-down navigation
Monorepo support	Hierarchical scanning with summary + sub-project reports

Analysis Depth Levels

Level	Files Read	Use Case
fast	1-2 per module	Quick inventory of huge directories
standard	2-5 per module	Default audit with full dependency + architecture checks
deep	5-10 per module	Adds thread safety, memory management, API consistency
full	All files	Pre-merge comprehensive review

How It Works

1. Classify the repo surface: enumerate files, then tag each as project code, embedded third-party code, or build artifact.
2. Detect embedded libraries: inspect directory names, headers, license files, and version markers to identify bundled dependencies and likely versions.
3. Score each module: group files by module or subsystem, then assign one of the four verdicts based on ownership, duplication, and maintenance cost.
4. Highlight structural risks: call out dead-weight artifacts, duplicated wrappers, outdated vendored code, and modules that should be extracted, rebuilt, or deprecated.
5. Produce the report: return a concise summary plus the interactive HTML output with per-module drill-down so the audit can be reviewed asynchronously.

Examples

On a 50,000-file C++ monorepo:

• Found FFmpeg 2.x (2015 vintage) still in production
• Discovered the same SDK wrapper duplicated 3 times
• Identified 636 MB of committed Debug/ipch/obj build artifacts
• Classified: 3 MB project code vs 596 MB third-party

Best Practices

• Start with standard depth for first-time audits
• Use fast for monorepos with 100+ modules to get a quick inventory
• Run deep incrementally on modules flagged for refactoring
• Review the cross-module analysis for duplicate detection across sub-projects

Links

• GitHub Repository