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 →
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Featured in: AI Design Tools
Logo Generator / Logo 生成器 English | 中文 English Professional SVG logo generator with high-end showcase presentations. Generate 6+ design variants based on product characteristics, then create stunning showcase images with 12 professional background styles. About This skill was created to solve a common problem: generating professional logos quickly without sacrificing quality. Traditional logo design requires extensive back-and-forth with designers, while AI-generated logos often lack the refinement and presentation quality needed for real products. Logo Generator bridges this gap by: Applying proven design principles (extreme simplicity, generous negative space, precise proportions) Generating multiple variants to explore different directions Creating production-ready showcase images with professional backgrounds Providing both SVG (editable) and PNG (ready-to-use) formats Perfect for: Startups needing a professional logo quickly Developers building side projects Designers exploring initial concepts Product teams iterating on brand identity The skill leverages Gemini 3.1 Flash Image Preview (Nano Banana) to generate high-end showcase images that look like they came from a...
| Stars | 2,178 |
| Forks | 168 |
| Language | HTML |
| Category | AI Tool |
| Quality Score | 66.632040886285/100 |
| Open Issues | 5 |
| Last Updated | 2026-04-15 |
| Created | 2026-04-15 |
| Est. Tokens | ~7k |
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logo-generator-skill is logo-generator-skill. It is categorized as a AI Tool with 2.2k GitHub stars.
logo-generator-skill is primarily written in HTML.
You can find installation instructions and usage details in the logo-generator-skill GitHub repository at github.com/op7418/logo-generator-skill. The project has 2.2k stars and 168 forks, indicating an active community.
The top alternatives to logo-generator-skill on Agent Skills Hub include claude-code-infrastructure-showcase, vision-agent, axton-obsidian-visual-skills. 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.
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