by FA-T-T · Codex Skill · ★ 7
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is codex-skill-academic-slides safe to install? View the security audit →
Codex skill for academic slides, posters, proofsheets, and architecture diagrams via GPT Image 2
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 →
| Stars | 7 |
| Forks | 1 |
| Language | JavaScript |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 64.5239995617355/100 |
| Last Updated | 2026-05-21 |
| Created | 2026-05-02 |
| Platforms | codex, node |
| Est. Tokens | ~3k |
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codex-skill-academic-slides is Codex skill for academic slides, posters, proofsheets, and architecture diagrams via GPT Image 2. It is categorized as a Codex Skill with 7 GitHub stars.
codex-skill-academic-slides is primarily written in JavaScript. It covers topics such as academic-slides, codex-skill, gpt-image-2.
You can find installation instructions and usage details in the codex-skill-academic-slides GitHub repository at github.com/FA-T-T/codex-skill-academic-slides. The project has 7 stars and 1 forks, indicating an active community.
codex-skill-academic-slides is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to codex-skill-academic-slides on Agent Skills Hub include Ultimate-AI-Media-Generator-Skill, claude-image, AI-bounty-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.
Sources & who's responsible: