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 CJ10110425 · Claude Skill · ★ 1
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is logo-intro safe to install? View the security audit →
WebGL logo intros from any SVG logo: lens-warped close-up, wordmark reveal, gradient bloom, lock-in ring and shimmer. JS module, single-file HTML, video export and a Claude skill.
| Stars | 1 |
| Forks | 0 |
| Language | JavaScript |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 51.195800787174/100 |
| Last Updated | 2026-09-29 |
| Created | 2026-09-29 |
| Platforms | browser, claude-code, node |
| Est. Tokens | ~13k |
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logo-intro is WebGL logo intros from any SVG logo: lens-warped close-up, wordmark reveal, gradient bloom, lock-in ring and shimmer. JS module, single-file HTML, video export and a Claude skill.. It is categorized as a Claude Skill with 1 GitHub stars.
logo-intro is primarily written in JavaScript. It covers topics such as brand-intro, claude-skill, logo-animation.
You can find installation instructions and usage details in the logo-intro GitHub repository at github.com/CJ10110425/logo-intro. The project has 1 stars and 0 forks, indicating an active community.
logo-intro is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to logo-intro on Agent Skills Hub include claude-code-settings, claude-design-auditor-skill, claude-for-safari. 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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