by NimaChu · Codex Skill · ★ 120
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Skill for popular science image content creation on Xiaohongshu
| Stars | 120 |
| Forks | 4 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 60.451293978544/100 |
| Open Issues | 2 |
| Last Updated | 2026-07-28 |
| Created | 2026-03-29 |
| Platforms | python |
| Est. Tokens | ~13k |
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xhs-imagen is Skill for popular science image content creation on Xiaohongshu. It is categorized as a Codex Skill with 120 GitHub stars.
xhs-imagen is primarily written in Python. It covers topics such as agent-workflow, article-to-image, infographic-generator.
You can find installation instructions and usage details in the xhs-imagen GitHub repository at github.com/NimaChu/xhs-imagen. The project has 120 stars and 4 forks, indicating an active community.
xhs-imagen is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to xhs-imagen on Agent Skills Hub include auto-commenter, n8n-claw, browser-operator-core. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
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: