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 clduab11 · MCP Server · ★ 387
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is gemini-flow safe to install? View the security audit →
🌌 [ARCHIVED] Gemini-Flow: Production-Ready AI Orchestration Platform ⚡ A2A + MCP Dual Protocol Support 🚀 396,610 SQLite ops/sec ⭐ Star this repo 🤝 Join the Revolution Dev Note (IMPORTANT!): Hi all! I wanted to write a short message thanking each and every one of you for supporting the repo and sharing it and I hope it was super useful for you!! As of January 29, 2026, this project will be archived/read-only. Generative AI writ large
| Stars | 387 |
| Forks | 68 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 64.9577306952146/100 |
| Open Issues | 32 |
| Last Updated | 2026-01-29 |
| Created | 2025-08-01 |
| Platforms | claude-code, cli, gemini, mcp, node |
| Est. Tokens | ~2183k |
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gemini-flow is rUv's Claude-Flow, translated to the new Gemini CLI; transforming it into an autonomous AI development team.. It is categorized as a MCP Server with 387 GitHub stars.
gemini-flow is primarily written in TypeScript. It covers topics such as ai-automation, ai-workflow, autonomous-agents.
You can find installation instructions and usage details in the gemini-flow GitHub repository at github.com/clduab11/gemini-flow. The project has 387 stars and 68 forks, indicating an active community.
gemini-flow is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to gemini-flow on Agent Skills Hub include SWE-AF, claude-prompts, top-github-repos-list. 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: