by SciToolsmith · Codex Skill · ★ 24
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is sci-diagram-pptx safe to install? View the security audit →
Reconstruct scientific frameworks, mechanisms, and flow diagrams as native editable PowerPoint—with provenance-bound, fail-closed QA for Codex.
Flagged: sudo usage. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
| Stars | 24 |
| Forks | 1 |
| Language | Python |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 65.8091536228756/100 |
| Last Updated | 2026-08-29 |
| Created | 2026-08-08 |
| Platforms | codex, python |
| Est. Tokens | ~15k |
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sci-diagram-pptx is Reconstruct scientific frameworks, mechanisms, and flow diagrams as native editable PowerPoint—with provenance-bound, fail-closed QA for Codex.. It is categorized as a Codex Skill with 24 GitHub stars.
sci-diagram-pptx is primarily written in Python. It covers topics such as academic-diagrams, agent-skills, codex.
You can find installation instructions and usage details in the sci-diagram-pptx GitHub repository at github.com/SciToolsmith/sci-diagram-pptx. The project has 24 stars and 1 forks, indicating an active community.
sci-diagram-pptx is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to sci-diagram-pptx on Agent Skills Hub include html-to-editable-pptx, deckprobe, paperbanana-skill. 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.
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