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 automagik-dev · MCP Server · ★ 342
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is genie safe to install? View the security audit →
Wishes in, PRs out. 🚀 14 commits this week · 0 releases · -54 LoC · 4 contributors 📊 Full velocity dashboard → Genie is a CLI that turns one sentence into a finished pull request. You describe what you want — Genie interviews you, writes a plan, spawns parallel agents in isolated worktrees, reviews the code, and opens a PR. You approve. You merge. That's it. Install Every release is cosign-s
| Stars | 342 |
| Forks | 52 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 67.6678616982234/100 |
| Open Issues | 2 |
| Last Updated | 2026-09-22 |
| Created | 2025-08-01 |
| Platforms | claude-code, cli, mcp, node |
| Est. Tokens | ~15k |
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genie is Wishes in, PRs out. CLI agent that interviews you, plans the work, dispatches parallel agents in isolated worktrees, and reviews code before you see it.. It is categorized as a MCP Server with 342 GitHub stars.
genie is primarily written in TypeScript. It covers topics such as ai-agents, ai-developer-tools, anthropic.
You can find installation instructions and usage details in the genie GitHub repository at github.com/automagik-dev/genie. The project has 342 stars and 52 forks, indicating an active community.
genie is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to genie on Agent Skills Hub include claude-emporium, OmoiOS, agentsys. 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: