Unrepo Documentation
AI-Powered GitHub Repository Risk Analysis
Introduction
Unrepo is an automated analysis platform designed to help users evaluate public GitHub repositories for potential risks, misleading structures, and reused or deceptive code patterns.
The platform is built to improve transparency in open-source repositories, especially those used in crypto and blockchain projects.
Unrepo focuses on code reality, not marketing claims.
What Unrepo Does
Unrepo analyzes publicly accessible GitHub repositories and provides structured insights based on repository behavior, structure, and historical patterns.
The platform helps users:
- Identify reused or recycled repositories
- Detect abnormal commit activity
- Understand repository complexity and intent
- Surface risk indicators commonly associated with deceptive projects
Note: Unrepo does not execute code and does not access private repositories.
Who Unrepo Is For
Crypto Traders
Traders often rely on GitHub repositories as a trust signal before engaging with a project. Unrepo helps traders verify whether a repository reflects genuine development or misleading activity.
Developers
Developers can use Unrepo to quickly understand unfamiliar repositories, assess structure, and identify potential issues.
Researchers & Analysts
Researchers can analyze open-source patterns and repository behavior across different projects.
How Unrepo Works
Step 1: Repository Submission
Users submit a public GitHub repository URL into Unrepo. No login or authentication is required.
Step 2: Repository Scanning
Unrepo scans multiple layers of the repository, including:
- • Directory structure
- • Commit history
- • File composition
- • Dependency references
- • Structural consistency
Step 3: Automated Analysis
An AI-assisted analysis engine evaluates patterns commonly associated with:
- • Abandoned or inactive projects
- • Forked or reused repositories
- • Artificial commit inflation
- • Misleading repository layouts
Step 4: Risk Signal Generation
Based on the analysis, Unrepo generates:
- • Structural insights
- • Behavioral indicators
- • Risk signals for further user review
These signals are informational and not definitive judgments.
Core Analysis Areas
5.1 Repository Structure Analysis
Unrepo evaluates how a repository is organized, including:
- • Directory depth
- • File distribution
- • Consistency across modules
- • Presence of placeholder or unused files
5.2 Commit Behavior Analysis
Commit history is reviewed to identify:
- • Sudden commit bursts
- • Inconsistent author patterns
- • Long periods of inactivity followed by artificial updates
- • Reused commit timelines
5.3 Code Reuse Detection
Unrepo identifies similarities with known public repositories to help surface:
- • Direct forks presented as original work
- • Heavily reused boilerplate code
- • Misrepresented project originality
5.4 Dependency & Configuration Review
Dependencies and configuration files are analyzed for:
- • Outdated or abandoned libraries
- • Suspicious dependency structures
- • Configuration inconsistencies
Understanding Risk Signals
Unrepo does not label projects as "safe" or "unsafe." Instead, it provides risk signals that highlight areas requiring attention.
Examples of risk signals include:
- High similarity with unrelated repositories
- Irregular commit timelines
- Structural inconsistencies
- Minimal original code
Users are encouraged to use these insights as part of a broader evaluation process.
Limitations of Unrepo
Unrepo is not a security audit tool and does not replace professional code audits.
Limitations include:
- Analysis is limited to public data
- Some risks may not be detectable automatically
- False positives or missed indicators may occur
Unrepo should be used as a decision-support tool, not a single source of truth.
Data Handling & Privacy
Unrepo respects user privacy.
- No user accounts required
- No wallet connections
- No permanent storage of repository data
- Analysis is performed temporarily
- Only publicly available repository information is accessed