orca-motion-skill — security grade SAFE, quality 52/100

Security audit verdict: SAFE · quality 52/100

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 zhenwusw · Agent Tool · ★ 7

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

🔒 Is orca-motion-skill safe to install? View the security audit →

About orca-motion-skill

Agent skill for in-scene motion graphics built from abstract, design-token-driven shapes; pairs with orca-transition-skill.

Quick Facts

Stars7
Forks1
LanguageJavaScript
CategoryAgent Tool
LicenseMIT
Quality Score52.0717134238473/100
Last Updated2026-09-19
Created2026-09-17
Platformsnode
Est. Tokens~13k

More Agent Tool Tools

Explore other popular agent tool tools:

View all Agent Tool tools →

Popular JavaScript Agent Tools

Frequently Asked Questions

What is orca-motion-skill?

orca-motion-skill is Agent skill for in-scene motion graphics built from abstract, design-token-driven shapes; pairs with orca-transition-skill.. It is categorized as a Agent Tool with 7 GitHub stars.

What programming language is orca-motion-skill written in?

orca-motion-skill is primarily written in JavaScript.

How do I install or use orca-motion-skill?

You can find installation instructions and usage details in the orca-motion-skill GitHub repository at github.com/zhenwusw/orca-motion-skill. The project has 7 stars and 1 forks, indicating an active community.

What license does orca-motion-skill use?

orca-motion-skill is released under the MIT license, making it free to use and modify according to the license terms.

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:

View on GitHub → Browse Agent Tool tools