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 cohen-liel · Codex Skill · ★ 106
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is hivemind safe to install? View the security audit →
🧠 Hivemind One prompt. A full AI engineering team. Go lie on the couch. Describe a feature in plain English. Hivemind deploys a PM, developers, reviewer, and QA — all working in parallel — and delivers tested, committed code. No babysitting. No copy-pasting. No "continue". Website · Quick Start · How It Works · Architecture · Features · Dashboard · [A
| Stars | 106 |
| Forks | 16 |
| Language | Python |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 60.5824792784542/100 |
| Open Issues | 2 |
| Last Updated | 2026-04-18 |
| Created | 2026-03-08 |
| Platforms | claude-code, python |
| Est. Tokens | ~2477k |
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hivemind is One prompt. A full AI engineering team. Go lie on the couch. 🧠. It is categorized as a Codex Skill with 106 GitHub stars.
hivemind is primarily written in Python. It covers topics such as ai-agents, ai-coding, ai-engineering-team.
You can find installation instructions and usage details in the hivemind GitHub repository at github.com/cohen-liel/hivemind. The project has 106 stars and 16 forks, indicating an active community.
hivemind is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to hivemind on Agent Skills Hub include garcon, oh-my-kimi, amux. 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: