by zhouzhq2021 · Agent Tool · ★ 8
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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. Full audit →
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.
| Stars | 8 |
| Forks | 2 |
| Language | Python |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 62/100 |
| Last Updated | 2026-09-09 |
| Created | 2026-04-22 |
| Platforms | gemini, python |
| Est. Tokens | ~15k |
PaperBanana-AIMSLab是一个面向科研写作场景的AI学术配图助手，基于开源项目PaperBanana优化而来。它可以根据论文方法章节、图注或图表意图自动生成高质量学术配图，并支持多 Agent 规划、风格优化、图像生成、评审迭代和图片精修。项目针对国内使用环境增强了多 API 通道自动切换能力，支持 AIPAIBOX、Google Gemini、OpenAI 与兼容网关，并新增gpt-image-2图像生成与image-to-image精修支持。
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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: