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 AgriciDaniel · Claude Skill · ★ 1.0k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is banana-claude safe to install? View the security audit →
Banana Claude AI image generation skill for Claude Code where Claude acts as Creative Director using Google's Gemini Nano Banana models. Unlike simple API wrappers, Claude interprets your intent, selects domain expertise, constructs optimized prompts using Google's official 5-component formula, and orchestrates Gemini for the best possible results. Blog: See banana-claude in action Table of Contents Installation Quick Start Commands How It Works What Makes This Different The 5-Component Prompt Formula Domain Modes Models Architecture Requirements Changelog Contributing License Installation Plugin Install (Recommended) Add the marketplace and install: shell /plugin marketplace add AgriciDaniel/banana-claude /plugin install banana-claude@banana-
| Stars | 1,036 |
| Forks | 223 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 76.6843412578102/100 |
| Open Issues | 6 |
| Last Updated | 2026-09-11 |
| Created | 2026-03-13 |
| Platforms | claude-code, gemini, python |
| Est. Tokens | ~15k |
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banana-claude is AI image generation skill for Claude Code - Creative Director powered by Gemini. It is categorized as a Claude Skill with 1.0k GitHub stars.
banana-claude is primarily written in Python. It covers topics such as ai, ai-content, claude-code.
You can find installation instructions and usage details in the banana-claude GitHub repository at github.com/AgriciDaniel/banana-claude. The project has 1.0k stars and 223 forks, indicating an active community.
banana-claude is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to banana-claude on Agent Skills Hub include linkedin-skills, latex-document-skill, ai-agent-team. 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: