by bob798 · Agent Tool · ★ 75
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 75 |
| Forks | 5 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 59/100 |
| Open Issues | 5 |
| Last Updated | 2026-09-29 |
| Created | 2026-03-06 |
| Platforms | python |
| Est. Tokens | ~14k |
Speakeasy 你的 AI 陪伴式私教，越聊越懂你。 English 这个产品在解决什么 学英语的人不缺资源，缺的是真正认识你的练习对象。 背单词、刷题、上课——练完就忘，下次重头。每个 App 对你一无所知：不知道你是做什么的，不记得你上次说过什么，不知道你哪里弱、哪里已经很好。练了三个月，系统对你的了解和第一天一样。 通用 AI（ChatGPT）能聊，但同样的问题：每次对话结束，一切清零。它不积累，不进化，不认识你。 Speakeasy 的切入点是：一个真正在积累对你的了解的英语私教。 Speakeasy 是什么 一个 AI 陪伴式私教，叫 Alex。 你们聊你真实生活里的事——今天的会议、遇到的麻烦、周末去了哪里。Alex 持续积累对你的认知：你是做什么的、你哪里容易出错、你上周发生了什么。每次对话，Alex 比上次更懂你——话题更贴合你，引导更精准，强化的点更有针对性。...
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: