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Repo Analyzer

GitHub仓库信任评分与尽职调查。用于在要求分析、审计、打分或评估任意GitHub仓库时(尤其是加密/DeFi项目)使用。

person作者: don-gbothubclawhub

Repo Analyzer

Zero-dependency GitHub trust scorer. Runs 29 analysis modules across 12 scoring categories.

Usage

# Single repo
node scripts/analyze.js <owner/repo or github-url> [flags]

# From a tweet (auto-extracts GitHub links)
node scripts/analyze.js <x.com-or-twitter.com-url> [flags]

# Batch mode
node scripts/analyze.js --file <repos.txt> [--json]

Flags

  • --json — JSON output (for pipelines)
  • --oneline — compact one-line score
  • --badge — shields.io markdown badge
  • --verbose — show progress
  • --token <pat> — GitHub PAT (or set GITHUB_TOKEN env)
  • --file <path> — batch mode, one repo per line (# comments ok)

Environment

CRITICAL: Always run with GITHUB_TOKEN loaded. Without it, scores are severely degraded (missing stars, forks, commits). Before running: source ~/.bashrc (token is in ~/.bashrc as GITHUB_TOKEN). Or pass explicitly: GITHUB_TOKEN="$(grep GITHUB_TOKEN ~/.bashrc | cut -d'"' -f2)" node scripts/analyze.js ...

Scoring (14 categories, 168pts normalized to 100)

| Category | Max | What it checks | |----------|-----|----------------| | Commit Health | 20 | Human vs bot, GPG sigs, code dumps, fake timestamps | | Contributors | 15 | Bus factor, contributor diversity | | Code Quality | 25 | Tests, CI, license, docs, lock files | | AI Authenticity | 15 | AI slop detection in code/README | | Social | 10 | Stars, forks, star/fork ratio, botted stars | | Activity | 10 | Recent pushes, releases | | Crypto Safety | 5 | Token mints, rug patterns, wallet addresses | | Dependency Audit | 10 | Known malicious packages, typosquatting, install hooks, lock files | | Fork Quality | 8 | Fork divergence, suspicious changes, gutted vs meaningful forks | | README Quality | 10 | Install guide, examples, structure, API docs | | Maintainability | 10 | File sizes, nesting, code/doc ratio | | Project Health | 10 | Abandoned detection, velocity, issue response, PR review | | Originality | 5 | Copy-paste, template detection, backer verification | | Agent Safety | 15 | Install hooks, prompt injection, secrets, CI audit, permissions |

Grade Scale

  • A (85+): LEGIT
  • B (70-84): SOLID
  • C (55-69): MIXED
  • D (40-54): SKETCHY
  • F (<40): AVOID

Key Features

  • Enhanced dependency audit: Detects known malicious packages (event-stream, ua-parser-js, etc.), typosquatting attacks, install hooks, and estimates transitive dependency bloat
  • Fork comparison: Analyzes fork divergence, detects cosmetic vs meaningful changes, flags suspicious modifications (removed CI, added wallets), identifies gutted forks
  • Agent safety: Detects prompt injection, credential harvesting, install script hooks, obfuscated code
  • Secrets detection: Finds hardcoded API keys, tokens, private keys via regex + entropy
  • Network mapping: Categorizes all outbound domains (API, CDN, unknown)
  • CI/CD audit: Checks GitHub Actions for pull_request_target, unpinned actions, secret leaks
  • Permissions manifest: Summarizes what the code needs to run (like an app permissions list)
  • Author reputation: Org memberships, suspicious repos, account age
  • Backer verification: Cross-references investor claims vs committer org membership
  • Complexity hotspots: Flags large files with deep nesting and high conditional density

Batch File Format

# One repo per line, # for comments
Uniswap/v3-core
https://github.com/aave/aave-v3-core
OpenZeppelin/openzeppelin-contracts

Output

Default: rich terminal report with bar charts, sections, verdict. --json: Full structured data for programmatic use. --oneline: RepoName: 85/100 [A] — 2 flags

When Reporting to User

Keep it concise. Lead with score/grade and notable findings. Skip sections with nothing interesting. Example:

"Uniswap/v3-core scored 75/B — 96% GPG-signed, 11 authors, MIT license. Flagged: abandoned (466 days no push), 2,597 transitive deps (bloated), secrets in CI run commands. Agent safety: CAUTION."