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 serradura · MCP Server · ★ 126
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is okf-gem safe to install? View the security audit →
= 2.4" <img src="https://img.shields.io/badge/Claude%20Code-plugin-D97757" alt="Clau
| Stars | 126 |
| Forks | 11 |
| Language | Ruby |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 67.4655615106488/100 |
| Open Issues | 1 |
| Last Updated | 2026-08-18 |
| Created | 2026-07-11 |
| Platforms | claude-code, cli, docker, mcp, ruby |
| Est. Tokens | ~20k |
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okf-gem is Open Knowledge Format for coding agents. Author, validate, lint, search, and visualize portable Markdown knowledge bundles. The okf gem carries the agent skill, CLI, Ruby library, and an interactive g. It is categorized as a MCP Server with 126 GitHub stars.
okf-gem is primarily written in Ruby. It covers topics such as agent-skills, ai-agents, claude-code.
You can find installation instructions and usage details in the okf-gem GitHub repository at github.com/serradura/okf-gem. The project has 126 stars and 11 forks, indicating an active community.
okf-gem is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to okf-gem on Agent Skills Hub include okf-skills, Awesome-OKF, octocode. 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: