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 · ★ 28
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is claude-gif safe to install? View the security audit →
Ultimate GIF creator skill for Claude Code. 6 generation pipelines: Remotion, Veo 3.1, SVG-to-transparent-GIF, FFmpeg, image sequences, AI frames. Palette optimization, perfect loops, platform sizing.
| Stars | 28 |
| Forks | 8 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 77.7333239007801/100 |
| Open Issues | 1 |
| Last Updated | 2026-04-10 |
| Created | 2026-04-02 |
| Platforms | claude-code, python |
| Est. Tokens | ~6k |
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claude-gif is Ultimate GIF creator skill for Claude Code. 6 generation pipelines: Remotion, Veo 3.1, SVG-to-transparent-GIF, FFmpeg, image sequences, AI frames. Palette optimization, perfect loops, platform sizing.. It is categorized as a Claude Skill with 28 GitHub stars.
claude-gif 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 claude-gif GitHub repository at github.com/AgriciDaniel/claude-gif. The project has 28 stars and 8 forks, indicating an active community.
claude-gif is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to claude-gif on Agent Skills Hub include ContentMachine, claudekit, kaggle-skill. 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: