by liuhaisi2026212-maker · Claude Skill · ★ 211
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npx -y skills add liuhaisi2026212-maker/taishang-laojun -g --allTaken 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 | 211 |
| Forks | 38 |
| Language | Markdown |
| Category | Claude Skill |
| Quality Score | 60/100 |
| Last Updated | 2026-10-28 |
| Created | 2026-10-22 |
| Platforms | claude-code, codex |
| Est. Tokens | ~16k |
太上老君·AI炼丹炉 不知道拍啥、不会写稿的，把它丢给你的 AI。 它会先弄清你是谁、想吸引谁，再把别人的爆款和你自己的事，炼成一条你能直接念的短视频口播稿。用的是抖音创作者柳爷（“柳爷不迷糊”）平时做内容的思路：先下判断，落到今天能拍的一件事，不出换谁都能用的泛货。 30 秒装上 装好后跟你的 AI 说一句“用炼丹炉，我想拍视频但不知道拍什么”就行。支持 Claude Code、Codex、Cursor 等能装技能的智能体。 用豆包、WorkBuddy 这类聊天智能体：下载 Bot 完整版，设定框装不下就用 Bot 精简版，完整版当知识库附件。 Claude Code 插件方式、手动安装和常见问题：见安装说明。 改一次给你看 用户发来一段 AI 写的卖土鸡蛋口播，补了一句：“我家就在山里，鸡是散养的，大概三百只，我每天早上去鸡窝捡蛋。” AI 初稿：...
These tools work well together with taishang-laojun for enhanced workflows:
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微信公众号 AI 运营助手 | 选题、写稿、审稿、排版、配图、发布全流程 Skill，支持 OpenClaw / Claude Code / Cursor / Codex
去 AI 味：去除简体中文 AI 写作痕迹 / Chinese humanizer skill
Curated AI coding agent skills and AGENTS.md playbooks for Codex, Claude Code, Cursor, OpenClaw, and other SKI
A VSCode extension that lets you find and install Agent Skills and MCP Apps to use with GitHub Copilot, Claude
humanizer-ru: редактура русского текста для AI-агентов. Убирает канцелярит и шаблонные обороты, сверяет смысл
103 ready-to-use AI agent skills for Claude Code, OpenAI Codex, Gemini CLI, Cursor, GitHub Copilot, Windsurf,
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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: