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 →
by llmsresearch · MCP Server · ★ 2.4k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is paperbanana safe to install? View the security audit →
PaperBanana Automated Academic Illustration for AI Scientists <img src="https://img.shields.io/badge/license-M
| Stars | 2,365 |
| Forks | 334 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 66.4750296775235/100 |
| Open Issues | 10 |
| Last Updated | 2026-09-17 |
| Created | 2026-02-04 |
| Platforms | gemini, mcp, python |
| Est. Tokens | ~19k |
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paperbanana is Open source implementation and extension of Google Research’s PaperBanana for automated academic figures, diagrams, and research visuals, expanded to new domains like slide generation.. It is categorized as a MCP Server with 2.4k GitHub stars.
paperbanana is primarily written in Python. It covers topics such as academic-diagrams, academic-research, agentic-ai.
You can find installation instructions and usage details in the paperbanana GitHub repository at github.com/llmsresearch/paperbanana. The project has 2.4k stars and 334 forks, indicating an active community.
paperbanana is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to paperbanana on Agent Skills Hub include bytebot, cursor-talk-to-figma-mcp, ag2. 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: