personal-ip-brand-intro-skill — security grade SAFE, quality 66/100

Security audit verdict: SAFE · quality 66/100

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 toufuim · Codex Skill · ★ 20

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

🔒 Is personal-ip-brand-intro-skill safe to install? View the security audit →

About personal-ip-brand-intro-skill

開源 Codex Skill:用文字、原創插圖或使用者圖片製作個人 IP 品牌開場,支援上傳音樂對拍與無音樂自主節拍。

codex-skillhyperframesmotion-graphicspersonal-brandingremotion

Quick Facts

Stars20
Forks4
LanguageJavaScript
CategoryCodex Skill
LicenseMIT
Quality Score66.0905612860302/100
Last Updated2026-07-30
Created2026-07-30
Platformscodex, node
Est. Tokens~2k

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Frequently Asked Questions

What is personal-ip-brand-intro-skill?

personal-ip-brand-intro-skill is 開源 Codex Skill:用文字、原創插圖或使用者圖片製作個人 IP 品牌開場,支援上傳音樂對拍與無音樂自主節拍。. It is categorized as a Codex Skill with 20 GitHub stars.

What programming language is personal-ip-brand-intro-skill written in?

personal-ip-brand-intro-skill is primarily written in JavaScript. It covers topics such as codex-skill, hyperframes, motion-graphics.

How do I install or use personal-ip-brand-intro-skill?

You can find installation instructions and usage details in the personal-ip-brand-intro-skill GitHub repository at github.com/toufuim/personal-ip-brand-intro-skill. The project has 20 stars and 4 forks, indicating an active community.

What license does personal-ip-brand-intro-skill use?

personal-ip-brand-intro-skill is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to personal-ip-brand-intro-skill?

The top alternatives to personal-ip-brand-intro-skill on Agent Skills Hub include skills, Ultimate-AI-Media-Generator-Skill, vitaecontext. 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:

View on GitHub → Browse Codex Skill tools