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 KimYx0207 · MCP Server · ★ 275
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Meta_Kim safe to install? View the security audit →
元 METAKIM Language: English | 简体中文 | 日本語 | 한국어 Overview MetaKim is not another AI coding tool. It is the governance layer for AI coding work. The hard part of AI coding is no longer getting a model to change files. The hard part is deciding what should happen first, which capability should own it, what evidence proves it worked, and how the lesson survives the next run. Claude Code, Codex, OpenClaw, and Cursor are all hands: they can write code and change files. But who decides which file to change first? Who reviews the result? Who fixes the problems that show up? And how do we make sure the same mistake does not repeat next time? MetaKim is built for that. It is AI
| Stars | 275 |
| Forks | 66 |
| Language | JavaScript |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 66.6611550711523/100 |
| Last Updated | 2026-10-04 |
| Created | 2026-03-23 |
| Platforms | claude-code, codex, mcp, node |
| Est. Tokens | ~25k |
These tools work well together with Meta_Kim for enhanced workflows:
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Meta_Kim is Governed execution layer for AI coding assistants: clarify intent, route capabilities, review evidence, verify results, and write back lessons across Claude Code, Codex, OpenClaw, and Cursor.. It is categorized as a MCP Server with 275 GitHub stars.
Meta_Kim is primarily written in JavaScript. It covers topics such as agent-governance, ai-agents, ai-coding.
You can find installation instructions and usage details in the Meta_Kim GitHub repository at github.com/KimYx0207/Meta_Kim. The project has 275 stars and 66 forks, indicating an active community.
Meta_Kim is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to Meta_Kim on Agent Skills Hub include Overture, agent-skills, quint-code. 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: