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 0dust · MCP Server · ★ 66
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is OKFy safe to install? View the security audit →
Open Knowledge Format for AI agents. Turn docs into agent-readable knowledge bundles. OKF bundles Git-diffable context Use with agents | Keep sources fresh | Create a bundle | CLI install | Why OKF | More clients
| Stars | 66 |
| Forks | 8 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 64.5108317085721/100 |
| Open Issues | 1 |
| Last Updated | 2026-08-17 |
| Created | 2026-06-14 |
| Platforms | mcp, node |
| Est. Tokens | ~17k |
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OKFy is Turn docs into agent-readable knowledge bundles using Open Knowledge Format (OKF). It is categorized as a MCP Server with 66 GitHub stars.
OKFy is primarily written in TypeScript. It covers topics such as agent-memory, ai, mcp.
You can find installation instructions and usage details in the OKFy GitHub repository at github.com/0dust/OKFy. The project has 66 stars and 8 forks, indicating an active community.
OKFy is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to OKFy on Agent Skills Hub include Awesome-OKF, Ori-Mnemos, MoltBrain. 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: