xiaohongshu-ai-workbench: 《小红书运营手册 · AI工作台》: free Codex Skills for Xiaohongshu operations

by nihe0909 · Codex Skill · ★ 382

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Security audit verdict: SAFE · quality 54/100

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.

Quick Facts

Stars382
Forks34
LanguagePython
CategoryCodex Skill
LicenseMIT
Quality Score54/100
Last Updated2026-08-04
Created2026-07-13
Platformscodex, python
Est. Tokens~4k

About xiaohongshu-ai-workbench

小红书运营手册 · AI工作台 作者:王梦珂 Mengke|好事发生 App 开发者|好事引力创始人|畅销书《爆款》作者 配套手册:https://xiaobot.net/p/xiaohongshuku 这是配合《小红书运营手册》使用的一组免费开源 Codex Skills,给有好产品、有真实经验、但不知道怎么把它讲清楚的人用。 手册负责讲判断。AI工作台负责帮你执行。 它来自好事引力长期做小红书诊断、内容策划和品牌表达时反复用到的工作流:标题、主页、选题、评论区、成交路径,都不应该靠灵感硬猜,而应该拆成可以检查、可以复用、可以交给 AI 执行的动作。 它不是手册的替代品,也不是公式库。项目不内置外部案例、外部公式库或第三方背书,也不承诺涨粉、爆款、成交或平台算法结果。每个 skill 只解决一个清晰工作流,适合独立安装,也可以组合使用。 适合谁...

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How this security grade is produced

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:

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