by mkhsu2002 · Codex Skill · ★ 98
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 | 98 |
| Forks | 17 |
| Language | JavaScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 59/100 |
| Last Updated | 2026-05-16 |
| Created | 2026-03-16 |
| Platforms | node |
| Est. Tokens | ~52k |
OpenClaw Agent Feeds (龍蝦升級飼料包) 2026Q1 Edition 歡迎來到 OpenClaw AI Agents 升級模組庫 繁體中文介紹 (Traditional Chinese) English Description 🛠 v2.0 重大創新 「龍蝦飼料」是專為 OpenClaw 設計的高級提示詞模板，旨在通過通訊軟體輕鬆「餵食」，提升 AI 代理的執行力。 Lobster Feeds are high-level prompt templates designed for OpenClaw, aimed at enhancing AI Agent capabilities with ease of use through instant messaging.
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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: