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 69gg · Agent Tool · ★ 260
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Undefined safe to install? View the security audit →
Undefined QQ and WeChat bot platform with cognitive memory architecture and multi-agent Skills. 大鹏一日同风起，扶摇直上九万里。 项目简介 Undefined 是一个基于 Python 异步架构的高性能机器人平台，以 OneBot V11 接入 QQ，并可通过微信 ClawBot/iLink 接入微信私聊。项目搭载认知记忆架构，采用自研 Skills 系统，内置多个智能 Agent，支持代码分析、网络搜索、娱乐互动等多模态能力，并提供 WebUI 在线管理，以及可连接同一管理服务的 跨平台 App。 <img src="https://raw.githubusercontent.com/69gg/Undefined/main/img/undefined-9527.png" width="100%" alt="Undefine
| Stars | 260 |
| Forks | 7 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 58.6554525058961/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-19 |
| Created | 2026-01-16 |
| Platforms | python |
| Est. Tokens | ~16k |
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Undefined is QQ bot platform with cognitive memory architecture and multi-agent Skills, via OneBot V11.. It is categorized as a Agent Tool with 260 GitHub stars.
Undefined is primarily written in Python. It covers topics such as agent, ai, bot.
You can find installation instructions and usage details in the Undefined GitHub repository at github.com/69gg/Undefined. The project has 260 stars and 7 forks, indicating an active community.
Undefined is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to Undefined on Agent Skills Hub include ClawPanel, KiraAI, KiraAI. 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: