by Liyucheng1997 · Agent Tool · ★ 170
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 | 170 |
| Forks | 17 |
| Language | Kotlin |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 62/100 |
| Open Issues | 7 |
| Last Updated | 2026-09-21 |
| Created | 2026-09-21 |
| Est. Tokens | ~17k |
Jev 聊天助手 (Jev Chat Assistant) 一个非侵入式的实时对话理解与回复辅助层——挂在任意聊天窗口旁边，读懂对方在说什么，用 TypeSafe Jev 判断模型给出「对方真实意图 / 危险等级 / 该不该马上回 / 最佳动作」，再用一个生成式模型起草 3 条候选回复并让 Jev 排序，最后以半透明悬浮窗展示，一键填入输入框。 目标是全平台。 微信（Android）只是我们跑通可行性的第一站。核心不依赖任何 App 的接口或账号——它只读「当前屏幕上正在发生的对话」，所以同一套 Jev 判断 + 生成排序内核可以平移到其它 IM、桌面端、乃至任何有聊天的地方——手机 QQ 已经这样接进来了，飞书（Lark） 采集分发已接入、正文待补。 发送始终由你手动点。 程序只读消息、只把回复填进输入框，从不自动发送、不碰转账/红包/收款。 A non-invasive,...
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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: