by hegeo · Codex Skill · ★ 51
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git clone https://github.com/hegeo/lobster-research.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 | 51 |
| Forks | 0 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 59/100 |
| Last Updated | 2026-05-25 |
| Created | 2026-05-05 |
| Platforms | python |
| Est. Tokens | ~357k |
🦞 Lobster Research 简单易用，功能丰富的 AI 调研助手。 Your AI research assistant. []() 🌐 语言 / Languages 中文 English 🇨🇳 中文 什么是龙虾调研？ 龙虾调研（Lobster Research）是一款 AI 驱动的智能调研助手，专为投资者、分析师、研究人员以及任何需要结构化情报的人设计。它将代码驱动的数据采集与AI 智能分析整合相结合，输出三种格式的专业研究报告： 覆盖领域：23 个领域，涵盖 A股/港股/美股、ETF、大宗商品、期货、跨资产，以及科技、游戏、军事、农业、生物医疗、文化艺术、政治、宇宙地理等 12 个非金融领域。 适用场景 📈 股市投资者 — 定时监控大盘行情，快速获取持仓快照，或深度研究个股 🔬 科技关注者 — 追踪技术趋势、AI 突破、前沿研究方向 📊 行业分析师 —...
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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: