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 sametcelikbicak · MCP Server · ★ 75
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is rolecraft safe to install? View the security audit →
RoleCraft — Simple Skill Installer for AI Zero-dependency CLI to install AI agent skills as roles & behaviors from any source. No marketplace, no registry, no signup — just point it at a local folder or a GitHub repo and it works. Works with opencode, claude-code, cursor, and all spec-compliant agents. Why rolecraft? | GitHub repo instal
| Stars | 75 |
| Forks | 13 |
| Language | JavaScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 73.1194405346357/100 |
| Open Issues | 9 |
| Last Updated | 2026-07-20 |
| Created | 2026-06-12 |
| Platforms | claude-code, cli, gemini, mcp, node |
| Est. Tokens | ~14k |
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rolecraft is Zero-dependency CLI that installs AI agent skills + MCP servers from any source. 86+ agents. No signup, no telemetry, 4 KB.. It is categorized as a MCP Server with 75 GitHub stars.
rolecraft is primarily written in JavaScript. It covers topics such as agent, ai, ai-agents.
You can find installation instructions and usage details in the rolecraft GitHub repository at github.com/sametcelikbicak/rolecraft. The project has 75 stars and 13 forks, indicating an active community.
rolecraft is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to rolecraft on Agent Skills Hub include rolecraft, postman-mcp-server, vsync. 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: