hbg-douyin-code-explainer-video — security grade SAFE, quality 60/100

Security audit verdict: SAFE · quality 60/100

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 Mr-funny · Codex Skill · ★ 31

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

🔒 Is hbg-douyin-code-explainer-video safe to install? View the security audit →

About hbg-douyin-code-explainer-video

HBG Codex skill for deterministic Chinese 9:16 HyperFrames explainer videos with dialogue TTS, global Whisper sync, stable BGM and final visual QA.

Quick Facts

Stars31
Forks4
LanguageShell
CategoryCodex Skill
Quality Score59.6471993243622/100
Last Updated2026-07-30
Created2026-07-30
Platformscli, codex
Est. Tokens~3k

Compatible Skills

These tools work well together with hbg-douyin-code-explainer-video for enhanced workflows:

  • clipify — semantic(0.17)+complementary+similar_pop+shared_platform (46%)

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Frequently Asked Questions

What is hbg-douyin-code-explainer-video?

hbg-douyin-code-explainer-video is HBG Codex skill for deterministic Chinese 9:16 HyperFrames explainer videos with dialogue TTS, global Whisper sync, stable BGM and final visual QA.. It is categorized as a Codex Skill with 31 GitHub stars.

What programming language is hbg-douyin-code-explainer-video written in?

hbg-douyin-code-explainer-video is primarily written in Shell.

How do I install or use hbg-douyin-code-explainer-video?

You can find installation instructions and usage details in the hbg-douyin-code-explainer-video GitHub repository at github.com/Mr-funny/hbg-douyin-code-explainer-video. The project has 31 stars and 4 forks, indicating an active community.

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