No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by QuantaAlpha · Claude Skill · ★ 542
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is RepoMaster safe to install? View the security audit →
🌟 RepoMaster: Make 100M+ GitHub Repositories Work for You 🚀 Turn GitHub Repositories into Your Personal AI Toolbox <img src="https://img.shields.io/badge/🤖AIAgent-Framework-FF6B6B.svg?style=flat-
| Stars | 542 |
| Forks | 66 |
| Language | Python |
| Category | Claude Skill |
| Quality Score | 69.6638293740239/100 |
| Open Issues | 4 |
| Last Updated | 2025-11-05 |
| Created | 2025-08-17 |
| Platforms | claude-code, python |
| Est. Tokens | ~1363k |
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RepoMaster is RepoMaster: The open-source AI agent that masters GitHub. It turns any code repository into a powerful tool, achieving a new level of autonomous task-solving. An open alternative to Claude-Code.. It is categorized as a Claude Skill with 542 GitHub stars.
RepoMaster is primarily written in Python. It covers topics such as claude-code, code-agent, gittaskbench.
You can find installation instructions and usage details in the RepoMaster GitHub repository at github.com/QuantaAlpha/RepoMaster. The project has 542 stars and 66 forks, indicating an active community.
The top alternatives to RepoMaster on Agent Skills Hub include claude-code-tools, MyAgents, coro-code. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: