awesome-grok-imagine-prompts — security grade SAFE, quality 57/100

Security audit verdict: SAFE · quality 57/100

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 YouMind-OpenLab · YouMind Plugin · ★ 53

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

🔒 Is awesome-grok-imagine-prompts safe to install? View the security audit →

About awesome-grok-imagine-prompts

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Quick Facts

Stars53
Forks9
LanguageTypeScript
CategoryYouMind Plugin
Quality Score57.08473363253/100
Last Updated2026-10-03
Created2026-03-26
Platformsnode
Est. Tokens~26k

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Frequently Asked Questions

What is awesome-grok-imagine-prompts?

awesome-grok-imagine-prompts is 🎬 Curated Grok Imagine (xAI) video generation prompts — cinematic, action, anime, product, meme styles. Includes prompt engineering tips, style guides, and creative video workflows.. It is categorized as a YouMind Plugin with 53 GitHub stars.

What programming language is awesome-grok-imagine-prompts written in?

awesome-grok-imagine-prompts is primarily written in TypeScript. It covers topics such as ai, ai-video, awesome.

How do I install or use awesome-grok-imagine-prompts?

You can find installation instructions and usage details in the awesome-grok-imagine-prompts GitHub repository at github.com/YouMind-OpenLab/awesome-grok-imagine-prompts. The project has 53 stars and 9 forks, indicating an active community.

What are the best alternatives to awesome-grok-imagine-prompts?

The top alternatives to awesome-grok-imagine-prompts on Agent Skills Hub include OpenReels, toolmate, vibeframe. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

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:

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