beamer2pptx: A Codex Skill for converting Beamer PDFs into editable PowerPoint decks with native equations

by xdmlxdml · Codex Skill · ★ 180

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

Security audit verdict: SAFE · quality 60/100

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

Stars180
Forks8
LanguagePython
CategoryCodex Skill
LicenseMIT
Quality Score60/100
Open Issues1
Last Updated2026-09-11
Created2026-08-28
Platformscodex, python
Est. Tokens~14k

About beamer2pptx

beamer2pptx Left: the original Beamer PDF. Right: the converted PPTX opened in Microsoft PowerPoint, shown without retouching. Fidelity varies by document, but the objects are always real, not a picture of the page. An agent Skill that rebuilds a Beamer PDF as an editable PowerPoint deck: real text boxes, shapes and native equations, not a screenshot of each slide pasted into a wrapper.

Compatible Skills

These tools work well together with beamer2pptx for enhanced workflows:

  • image2editable — semantic(0.39)+complementary+same_lang+similar_pop+shared_platform (64%)
  • figedit — semantic(0.37)+complementary+same_lang+similar_pop+shared_platform (63%)
  • html-to-editable-pptx — semantic(0.28)+complementary+same_lang+similar_pop+shared_platform (60%)

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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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