nano-banana-pro-prompts-recommend-skill: AI skill for OpenClaw & Claude Code — recommend from 10000+ Nano Banana Pro (Gemini) image prompts

by YouMind-OpenLab · Codex Skill · ★ 1.9k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install nano-banana-pro-prompts-recommend-skill

npx skills i YouMind-OpenLab/nano-banana-pro-prompts-recommend-skill
npx openskills install YouMind-OpenLab/nano-banana-pro-prompts-recommend-skill

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 73/100

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.

ai-agentai-imageclaude-code-skillclawhubcontent-creationgeminiimage-generationnano-bananaopenclawopenclaw-skill

Quick Facts

Stars1,899
Forks202
LanguageTypeScript
CategoryCodex Skill
Quality Score73/100
Open Issues5
Last Updated2026-11-08
Created2026-01-21
Platformsclaude-code, gemini, node
Est. Tokens~16k

About nano-banana-pro-prompts-recommend-skill

AI Image Prompt Recommender — 10,000+ Nano Banana Pro Prompts []() []() Stop spending hours hunting for the right AI image prompt. Tell your AI assistant what you need in one sentence — it searches 10,000+ curated Nano Banana Pro prompts and returns the top 3 matches with sample images, ready to use.

Compatible Skills

These tools work well together with nano-banana-pro-prompts-recommend-skill for enhanced workflows:

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  • Ultimate-AI-Media-Generator-Skill — semantic(0.52)+complementary+rare_topics+shared_platform (57%)
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  • mcp-image — semantic(0.40)+complementary+rare_topics+same_lang+shared_platform (53%)
  • openclaw-china — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (52%)

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How this security grade is produced

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:

View on GitHub → Browse Codex Skill tools