by bananahub-ai · Claude Skill · ★ 113
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npx skills add https://github.com/bananahub-ai/bananahub-skill --skill bananahubTaken from the project's README on GitHub.
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.
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 | 113 |
| Forks | 0 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 73/100 |
| Last Updated | 2026-05-17 |
| Created | 2026-03-06 |
| Platforms | claude-code, gemini, python |
| Est. Tokens | ~2146k |
BananaHub Skill 🍌 简体中文说明 BananaHub is an agent-native image workflow skill. Describe what you want in Chinese, English, or mixed language; BananaHub cleans up the prompt, detects the available runtime, routes the task to the right image path, and keeps generation, editing, templates, and reusable prompts under one command. It is not just a prompt helper.
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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: