map-animation-skills — security grade SAFE, quality 71/100

Security audit verdict: SAFE · quality 71/100

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 iart-ai · Claude Skill · ★ 14

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

🔒 Is map-animation-skills safe to install? View the security audit →

About map-animation-skills

Animated map skills for AI coding agents — draw routes, zoom-to-location, and data-driven map animations rendered to video.

claude-skilldata-visualizationearth-studioexplainer-videogeojsonmap-animationmotion-graphicsvox-style

Quick Facts

Stars14
Forks4
LanguageHTML
CategoryClaude Skill
LicenseMIT
Quality Score71.4753442868129/100
Last Updated2026-06-22
Created2026-06-22
Platformsclaude-code
Est. Tokens~16k

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Frequently Asked Questions

What is map-animation-skills?

map-animation-skills is Animated map skills for AI coding agents — draw routes, zoom-to-location, and data-driven map animations rendered to video.. It is categorized as a Claude Skill with 14 GitHub stars.

What programming language is map-animation-skills written in?

map-animation-skills is primarily written in HTML. It covers topics such as claude-skill, data-visualization, earth-studio.

How do I install or use map-animation-skills?

You can find installation instructions and usage details in the map-animation-skills GitHub repository at github.com/iart-ai/map-animation-skills. The project has 14 stars and 4 forks, indicating an active community.

What license does map-animation-skills use?

map-animation-skills is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to map-animation-skills?

The top alternatives to map-animation-skills on Agent Skills Hub include claude-code-settings, scitex-python, html-explainer. 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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