by csmar432 · MCP Server · ★ 109
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
pip install "finai-research-workflow[extras]"
git clone https://github.com/csmar432/finai-research.git && cd finai-research
Taken from the project's README on GitHub.
Flagged: sudo usage. 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 | 109 |
| Forks | 4 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 67/100 |
| Open Issues | 9 |
| Last Updated | 2026-09-28 |
| Created | 2026-06-15 |
| Platforms | mcp, python |
| Est. Tokens | ~21k |
论文-研报工作流 · FinAI Research Workflow 研究主题一句话 → 收到可核验的 LaTeX 草稿。 Describe your research topic → receive a verifiable LaTeX draft. [ - Record and replay user interactions in the browser with MCP support
Stata-MCP: A MCP server for integrating Stata into your agent loop with a safety-first design.
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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.
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