by rollingSirius · Agent Tool · ★ 469
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/rollingSirius/equity-research-skill.git ~/.claude/skills/equity-research
git clone https://github.com/rollingSirius/equity-research-skill.git .claude/skills/equity-researchTaken from the project's README on GitHub.
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 | 469 |
| Forks | 60 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 64/100 |
| Last Updated | 2026-08-21 |
| Created | 2026-07-14 |
| Platforms | python |
| Est. Tokens | ~14k |
Equity Research Skill 个股投研报告技能 一个可用于 Claude Code / Claude Desktop (Cowork) / Codex 及其他 AI Agent 工具的 Agent Skill：把"研究一下某只股票"这类请求，转化为一份事实准确、来源可溯、结论明确的机构级九章投研报告（中文输出）。 An Agent Skill that turns "research this stock for me" into an institutional-grade, nine-chapter equity research report (written in Chinese) — with sourced data, timestamps, and multi-method valuation cross-checks.
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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: