by kansoku-trade · Agent Tool · ★ 333
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.
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 | 333 |
| Forks | 40 |
| Language | TypeScript |
| Category | Agent Tool |
| Quality Score | 56/100 |
| Open Issues | 10 |
| Last Updated | 2026-10-27 |
| Created | 2026-06-24 |
| Platforms | node |
| Est. Tokens | ~15k |
Kansoku 装在你 Mac 上的能查账的 AI 看盘搭子——它说的每句话你都能查：每个结论挂着完整证据链，归档之后不许改口，事后按命中率记分。 Kansoku（観測） 是一个 macOS 桌面应用：行情从你自己的长桥账户拉，指标全部本地实算，AI 用你自己配置的模型盯盘、答疑、改研究稿，结论落成本地文件。数据和 key 都不出你的机器。 下载安装 去 Releases 下载最新 版本的 （macOS · Apple Silicon），拖进「应用程序」即可。应用内置 Sparkle 自动更新（EdDSA 签名 + 增量包），装一次就不用再回来手动下载。 前置依赖：本机安装并登录 longbridge CLI（行情和账户数据都走它）。应用当前没有付费开发者签名，首次打开需要右键 →「打开」，详见 。 首次启动有引导：连上长桥数据，再选一个 AI 接入方式（本机 codex 登录态 /...
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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: