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 openaeon · Codex Skill · ★ 87
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is OpenAEON safe to install? View the security audit →
🌌 OpenAEON English | 中文 AEON PROPHET — A Species-Level Evolution of the Logic Layer “Not a framework upgrade. A new form of intelligence architecture.” Watch Demonstration 🖼 UI Screenshots (Dark Mode, UI) Chat (, UI) Sandbox (, UI) AEON (, UI) 🧠 FCA Core (Fractal Cognitive Adapter) OpenAEON is powered by the FCA Core, a multi-layer cognitive archite
| Stars | 87 |
| Forks | 20 |
| Language | TypeScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 58.0769555292205/100 |
| Open Issues | 6 |
| Last Updated | 2026-07-30 |
| Created | 2026-03-09 |
| Platforms | node |
| Est. Tokens | ~17743k |
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Explore other popular codex skill tools:
OpenAEON is Open-source implementation of the AEON Protocol for advanced AI cognitive observability, featuring real-time dialectic flow tracking, automated memory distillation (Auto-Seal), and knowledge aging vis. It is categorized as a Codex Skill with 87 GitHub stars.
OpenAEON is primarily written in TypeScript. It covers topics such as agent, agents, ai.
You can find installation instructions and usage details in the OpenAEON GitHub repository at github.com/openaeon/OpenAEON. The project has 87 stars and 20 forks, indicating an active community.
OpenAEON is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to OpenAEON on Agent Skills Hub include MMClaw, starpod, AIMAXXING. 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: