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 scaccogatto · MCP Server · ★ 401
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is okf-skills safe to install? View the security audit →
📚 okf — the Open Knowledge Format toolkit for Claude Code Teach your coding agent to author, maintain, validate, and visualize portable knowledge bundles — markdown your team and your agents both read. ▶ Open the live demo — a real OKF bundle as an interactive graph Click any node → rendered markdown, typed metadata, and "Links to / Cited by" backlinks. No backend, nothing leaves the page. OKF is an open, vendor-neutral format (announced by Google Cloud, June 2026) that represents knowledge — the context and curated insight around your systems — as a directory of markdown files with YAML frontmatter. No schema registry. No runtime. No
| Stars | 401 |
| Forks | 34 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 74.277775951099/100 |
| Last Updated | 2026-09-28 |
| Created | 2026-06-14 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~15k |
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okf-skills is The OKF toolkit for Claude Code — author, maintain, validate & visualize Open Knowledge Format bundles. Plugin, agent skills, and a GitHub Action.. It is categorized as a MCP Server with 401 GitHub stars.
okf-skills is primarily written in Python. It covers topics such as agent-skills, ai-agents, claude-code.
You can find installation instructions and usage details in the okf-skills GitHub repository at github.com/scaccogatto/okf-skills. The project has 401 stars and 34 forks, indicating an active community.
okf-skills is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to okf-skills on Agent Skills Hub include okf-gem, Awesome-OKF, okf. 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: