by alohays · Agent Tool · ★ 6
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is paper2pr safe to install? View the security audit →
AI/ML Paper → Presentation-ready Beamer + Quarto slides via Claude Code multi-agent workflow
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 | 6 |
| Forks | 1 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 64.4235580931697/100 |
| Open Issues | 1 |
| Last Updated | 2026-10-02 |
| Created | 2026-03-15 |
| Platforms | claude-code, python |
| Est. Tokens | ~14k |
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paper2pr is AI/ML Paper → Presentation-ready Beamer + Quarto slides via Claude Code multi-agent workflow. It is categorized as a Agent Tool with 6 GitHub stars.
paper2pr is primarily written in Python. It covers topics such as ai-ml, beamer, claude-code.
You can find installation instructions and usage details in the paper2pr GitHub repository at github.com/alohays/paper2pr. The project has 6 stars and 1 forks, indicating an active community.
paper2pr is released under the MIT license, making it free to use and modify according to the license terms.
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: