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 massgen · MCP Server · ★ 1.1k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is MassGen safe to install? View the security audit →
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| Stars | 1,131 |
| Forks | 176 |
| Language | Python |
| Category | MCP Server |
| Quality Score | 62.455272944292/100 |
| Open Issues | 3 |
| Last Updated | 2026-06-12 |
| Created | 2025-07-18 |
| Platforms | cli, mcp, python |
| Est. Tokens | ~13k |
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MassGen is 🚀 MassGen is an open-source multi-agent scaling system that runs in your terminal, autonomously orchestrating frontier models and agents to collaborate, reason, and produce high-quality results. | Jo. It is categorized as a MCP Server with 1.1k GitHub stars.
MassGen is primarily written in Python. It covers topics such as agent, agentic-ai, autonomous-agents.
You can find installation instructions and usage details in the MassGen GitHub repository at github.com/massgen/MassGen. The project has 1.1k stars and 176 forks, indicating an active community.
The top alternatives to MassGen on Agent Skills Hub include oreilly-ai-agents, ag2, gptme. 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: