xiaobei-skill-image-to-vba: XiaoBei skill for converting academic images into editable Office VBA Shapes and PowerPoint reconstructions

by xiao24bei · Codex Skill · ★ 195

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

Security audit verdict: SAFE · quality 61/100

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. 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.

academic-figurescodex-skillimage-to-vbaoffice-shapesoffice-vbaopenai-codexpowerpointpptresearch-figureswps

Quick Facts

Stars195
Forks17
LanguagePython
CategoryCodex Skill
LicenseApache-2.0
Quality Score61/100
Open Issues2
Last Updated2026-05-26
Created2026-05-26
Platformscodex, python
Est. Tokens~13k

About xiaobei-skill-image-to-vba

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...

Compatible Skills

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  • html-to-editable-pptx — semantic(0.23)+complementary+rare_topics+same_lang+similar_pop+shared_platform (67%)
  • figedit — semantic(0.34)+complementary+rare_topics+same_lang+similar_pop+shared_platform (66%)
  • Mck-ppt-design-skill — semantic(0.17)+complementary+rare_topics+same_lang+similar_pop+shared_platform (65%)
  • brand-docs — semantic(0.29)+complementary+rare_topics+same_lang+similar_pop+shared_platform (65%)

xiaobei-skill-image-to-vba alternative? Top 6 similar tools

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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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