No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by xiao24bei · Codex Skill · ★ 196
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is xiaobei-skill safe to install? View the security audit →
小北在读研 · XiaoBei Skills 大家好，我是小北在读研，研二在读，电子信息专业。目前主要做 AI + 科研、Agent 赋能科研工作流 相关内容。全网10w➕粉丝，感兴趣的朋友也可以关注一下我的抖音：小北在读研 长期分享科研工具、论文阅读、学术绘图、科研 Agent、AI 自动化和研究生提效方法。除了这个开源 skill，我还在维护个人学术网站 xiaobeiai.top 和科研 API 中转站 beiapi.cn。 加入科研 AI 交流 如果你是硕士、博士、科研工作者，或者正在做论文、课题、学术绘图、科研自动化、Agent 工作流，欢迎加我微信交流。 和小北一起做 AI + 科研 适合硕博生、科研工作者、论文写作者、科研工具爱好者。 交流方向：科研 Agent / 学术绘图 / 论文工作流 / API 工具 / 研究生提效。 加好友建议备注：GitHub + 学校/方向 + 年级 例如：GitHub + 电子信息 + 研二 你也可以通过这些入口了解我正在做的东西： 个人学术网站：xiaobeiai.top 科研 API 中转站：beiapi.cn 内容方向：AI + 科研、Agent 赋能科研、研究生提效、学术绘图、论文工作流 开源 Skill 合集 这里集中维护小北在读研公开的 AI + 科研 Skills。每个 Skill 都放在 下的独立目录中，可以单独发现、安装、调用和更新。 [](skills/xiaobe
| Stars | 196 |
| Forks | 17 |
| Language | Python |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 65.3081744959734/100 |
| Open Issues | 2 |
| Last Updated | 2026-08-27 |
| Created | 2026-05-26 |
| Platforms | codex, python |
| Est. Tokens | ~15k |
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xiaobei-skill is 小北在读研开源 Codex Skills 合集：Image to VBA、Academic Paper to PPT 等 AI + 科研工作流。. It is categorized as a Codex Skill with 196 GitHub stars.
xiaobei-skill is primarily written in Python. It covers topics such as academic-figures, academic-ppt, academic-presentation.
You can find installation instructions and usage details in the xiaobei-skill GitHub repository at github.com/xiao24bei/xiaobei-skill. The project has 196 stars and 17 forks, indicating an active community.
xiaobei-skill is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to xiaobei-skill on Agent Skills Hub include html-to-editable-pptx, speq-skill, ppt-agent-skills. 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: