repopack-py: Python version of repopack ( by yamadashy (

by abinthomasonline · Agent Tool · ★ 122

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Security audit verdict: SAFE · quality 62/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

aiai-assistantanthropicchatbotchatgptclaudedeveloper-toolsdevelopment-toolsdevtoolsgemini

Quick Facts

Stars122
Forks9
LanguagePython
CategoryAgent Tool
LicenseMIT
Quality Score62/100
Last Updated2024-09-24
Created2024-08-01
Platformsclaude-code, gemini, python
Est. Tokens~5k

About repopack-py

📦 Repopack-py Python version of npm repopack by yamadashy Repopack is a powerful tool that packs your entire repository into a single, AI-friendly file. Perfect for when you need to feed your codebase to Large Language Models (LLMs) or other AI tools like Claude, ChatGPT, and Gemini.

Compatible Skills

These tools work well together with repopack-py for enhanced workflows:

  • Claude_skills_zh-CN — semantic(0.47)+complementary+same_lang+similar_pop+shared_platform (62%)
  • ai-microcore — semantic(0.15)+complementary+same_lang+similar_pop+shared_platform (50%)

repopack-py alternative? Top 6 similar tools

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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