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 emo-xiaoyu · Codex Skill · ★ 153
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is harness-mix safe to install? View the security audit →
Harness Mix 中文 | English macOS/Linux 已加入源码构建与启动适配；目标系统的完整桌面验收仍需在对应机器执行。安装方式、Linux 桌面前提和支持边界见 跨平台指南。 ⭐ 如果这个项目对你有帮助，请给我们一个 Star！ ⭐ Codex 原生 UI，连接多个原生 Coding Harness，并让任务在它们之间无缝接力。 当前注册的 Harness（17 个） Antigravity <img src="src/assets/icons/codex-harness.svg" width="28" height=
| Stars | 153 |
| Forks | 8 |
| Language | TypeScript |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 52.0476952691481/100 |
| Open Issues | 3 |
| Last Updated | 2026-09-20 |
| Created | 2026-09-07 |
| Platforms | codex, node |
| Est. Tokens | ~21k |
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harness-mix is an open-source codex skill by emo-xiaoyu with 153 GitHub stars.
harness-mix is primarily written in TypeScript. It covers topics such as ai-agents, cluade-code, codebuddy.
You can find installation instructions and usage details in the harness-mix GitHub repository at github.com/emo-xiaoyu/harness-mix. The project has 153 stars and 8 forks, indicating an active community.
harness-mix is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to harness-mix on Agent Skills Hub include mco, modsearch, kasetto. 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: