by BAIKEMARK · Agent Tool · ★ 153
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npx skills add BAIKEMARK/happy-figure-skillTaken 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 | 153 |
| Forks | 12 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 57/100 |
| Last Updated | 2026-06-03 |
| Created | 2026-06-02 |
| Platforms | python |
| Est. Tokens | ~17k |
# Happy Figure Skill 🚀 把科研内容编译成可控、可校对、可复用的 AI 绘图 Prompt 💡 简体中文 ｜ English ｜ 快速开始 ｜ License 把论文、图注、开题材料、研究方案和参考图，编译成可复制、可校对、可控的 AI 科研绘图 prompt。 是 Happy Figure 的 Agent Skill。它不直接生成图片，而是让 Claude Code / Codex 这类 Agent 先读懂科研内容，再按 领域 x 图类型 x 绘图模型特性 生成适合 Nano Banana Pro、Nano Banana 2、Qwen Image 2 / 2 Pro、GPT Image 2 等模型执行的结构化绘图提示词。 一句话：它不是“再给你一段万能 prompt”，而是一个面向科研插图的 提示词路由器 + 图形结构编译器。 🖼️ 先看效果 我们挑选了 5...
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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: