by ArvinLovegood · Agent Tool · ★ 7.9k
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 | 7,928 |
| Forks | 1,391 |
| Language | Go |
| Category | Agent Tool |
| License | GPL-3.0 |
| Quality Score | 53/100 |
| Open Issues | 25 |
| Last Updated | 2026-10-24 |
| Created | 2024-12-17 |
| Platforms | go |
| Est. Tokens | ~18k |
go-stock : 基于大语言模型的AI赋能股票分析工具 [//]: # ([](https://gitcode.com/ArvinLovegood/go-stock)) 🌟公众号 📈 交流群 [//]: # (- QQ交流群2：[点击链接加入群聊【go-stock交流群2】：892666282](https://qm.qq.com/q/5mYiy6Yxh0)) QQ交流群：点击链接加入群聊【go-stock交流群】：491605333(定期清理，随缘入群) ✨ 简介 本项目基于Wails和NaiveUI开发，结合AI大模型构建的股票分析工具。 目前已支持A股，港股，美股，未来计划加入基金，ETF等支持。...
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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: