by ZhiweiChen-coder · Codex Skill · ★ 74
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 | 74 |
| Forks | 20 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 62/100 |
| Last Updated | 2026-10-23 |
| Created | 2025-07-20 |
| Platforms | python |
| Est. Tokens | ~14k |
OpenAshare 中文 · English 面向中国与香港股票的 AI 研究工作台。 从行情、新闻和技术面，到带上下文的 Agent 研究，一处完成。 云端 Beta 正在开放。 想先体验云端工作台？访问产品首页并登录后申请 Beta 访问；想自己掌控数据与模型？直接在本地运行本仓库。 OpenAshare 不是另一个只展示行情的面板。它将个股技术分析、市场消息、热点主题、持仓复盘、策略观察和 Agent 对话连接成一条研究链路：从一个代码开始，看到数据、指标、新闻与 AI 的可追问解读；从一个市场热点出发，回到关联标的与自己的持仓语境。 项目以本地优先和可自托管为基础，也在建设面向海外华人与国际研究者的中英文产品体验，帮助更多人更方便地理解中国与香港股票市场。 重要提示：本项目仅用于研究、学习和工具搭建，不构成投资建议。市场有风险，所有决策请自行负责。
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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: