by xang1234 · MCP Server · ★ 280
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 | 280 |
| Forks | 93 |
| Language | Python |
| Category | MCP Server |
| Quality Score | 63/100 |
| Open Issues | 9 |
| Last Updated | 2026-08-10 |
| Created | 2026-01-12 |
| Platforms | gemini, mcp, python |
| Est. Tokens | ~1914k |
Stock Screener 🇺🇸 🇨🇳 🇭🇰 🇯🇵 🇰🇷 🇹🇼 🇮🇳 🇩🇪 🇨🇦 🇸🇬 🇲🇾 🇦🇺 A stock screening platform with multi-methodology scans across US, Hong Kong, India, Japan, Korea, Taiwan, mainland China A-share, Germany, Canada, Singapore, Malaysia, and Australia markets, AI-assisted research, theme discovery from social and news feeds, and real-time market breadth analysis.
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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: