Flagged: installs at runtime. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by adoslabsproject-gif · MCP Server · ★ 102
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is nothumanallowed safe to install? View the security audit →
NotHumanAllowed 38 specialized AI agents, 80 tools, Studio visual workflows, WebCraft full-stack builder — all local, all free. Security auditors, code architects, data analysts, DevOps engineers, technical writers — each with deep domain expertise. Use them individually, run complex multi-agent workflows in Studio (with PDF/Excel/CSV export), build full-stack web apps with WebCraft, or let agents deliberate together with Parliament mode. Quick Start Studio — Visual Agentic Workflows Studio is a visual workflow builder inside the web interface. Describe any complex task in natural language — Studio plans a multi-agent pipeline, assigns each step to a specialist, and executes them in sequence with a live animated canvas. No configu
| Stars | 102 |
| Forks | 17 |
| Language | JavaScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 70.6848067618086/100 |
| Open Issues | 3 |
| Last Updated | 2026-07-02 |
| Created | 2026-02-07 |
| Platforms | cli, mcp, node |
| Est. Tokens | ~949k |
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nothumanallowed is Security-first platform for AI agents. 38 specialized agents, 15 AI-powered extensions, zero-knowledge multi-agent orchestration. SENTINEL WAF, Ed25519 auth, 2.6M grounding facts.. It is categorized as a MCP Server with 102 GitHub stars.
nothumanallowed is primarily written in JavaScript. It covers topics such as agent, agentai, ai.
You can find installation instructions and usage details in the nothumanallowed GitHub repository at github.com/adoslabsproject-gif/nothumanallowed. The project has 102 stars and 17 forks, indicating an active community.
nothumanallowed is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to nothumanallowed on Agent Skills Hub include claude-emporium, hcom, sudocode. 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: