by Musenn · Agent Tool · ★ 113
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/Musenn/finrpa-enterprise.gitTaken from the project's README on GitHub. Check the security audit before running it.
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 | 113 |
| Forks | 11 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 58/100 |
| Last Updated | 2026-03-08 |
| Created | 2026-03-06 |
| Platforms | browser, python |
| Est. Tokens | ~16k |
FinRPA Enterprise 金融级 AI 浏览器自动化平台 · 银行 / 保险 / 证券场景深度定制 []() []() 这个项目是什么 基于 Skyvern 开源框架进行企业级二次开发，专门针对金融行业（银行、保险、证券）的真实业务场景进行深度定制。 Skyvern 用 LLM + 视觉理解来「读懂」页面，而不是依赖固定的 XPath 选择器，从根本上解决了传统 RPA 页面改版即失效的问题。本项目在这个基础上，补齐了企业落地必须具备的权限体系、合规审计、风险控制三项核心能力，并针对金融行业的组织结构特点做了深度适配。 为什么要做这个改造 Skyvern 原版是一个技术上很先进的底座，但它被设计为单机、单用户的场景。在一家银行或保险公司里，RPA...
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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: