xiaohongshu-ai-workbench — not yet audited

by nihe0909 · Codex Skill · ★ 382

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

About xiaohongshu-ai-workbench

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

Quick Facts

Stars382
Forks34
LanguagePython
CategoryCodex Skill
LicenseMIT
Quality Score53.7711684947593/100
Last Updated2026-08-04
Created2026-07-13
Platformscodex, python
Est. Tokens~4k

Compatible Skills

These tools work well together with xiaohongshu-ai-workbench for enhanced workflows:

  • marketplace — semantic(0.26)+complementary+same_lang+similar_pop+shared_platform (59%)
  • codex-hygiene — semantic(0.23)+complementary+same_lang+similar_pop+shared_platform (58%)
  • codeArbiter — semantic(0.23)+complementary+same_lang+similar_pop+shared_platform (58%)
  • DSkills — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (58%)

xiaohongshu-ai-workbench alternative? Top 6 similar tools

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Frequently Asked Questions

What is xiaohongshu-ai-workbench?

xiaohongshu-ai-workbench is 《小红书运营手册 · AI工作台》: free Codex Skills for Xiaohongshu operations. It is categorized as a Codex Skill with 382 GitHub stars.

What programming language is xiaohongshu-ai-workbench written in?

xiaohongshu-ai-workbench is primarily written in Python.

How do I install or use xiaohongshu-ai-workbench?

You can find installation instructions and usage details in the xiaohongshu-ai-workbench GitHub repository at github.com/nihe0909/xiaohongshu-ai-workbench. The project has 382 stars and 34 forks, indicating an active community.

What license does xiaohongshu-ai-workbench use?

xiaohongshu-ai-workbench is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to xiaohongshu-ai-workbench?

The top alternatives to xiaohongshu-ai-workbench on Agent Skills Hub include nano-banana-pro-prompts-recommend-skill, skillkit, Skills-Manager. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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:

View on GitHub → Browse Codex Skill tools