tiktok-ig-shorts — security grade SAFE, quality 64/100

Security audit verdict: SAFE · quality 64/100

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 misbahsy · Codex Skill · ★ 10

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

🔒 Is tiktok-ig-shorts safe to install? View the security audit →

About tiktok-ig-shorts

Generate Viral Tiktok and Instagram Shorts using Hyperframes with Claude and Codex

Quick Facts

Stars10
Forks1
LanguagePython
CategoryCodex Skill
Quality Score63.9200793641113/100
Last Updated2026-07-26
Created2026-07-23
Platformsclaude-code, codex, python
Est. Tokens~15k

Compatible Skills

These tools work well together with tiktok-ig-shorts for enhanced workflows:

  • pypict-claude-skill — semantic(0.20)+complementary+same_lang+similar_pop+shared_platform (57%)

More Codex Skill Tools

Explore other popular codex skill tools:

View all Codex Skill tools →

Popular Python Agent Tools

Frequently Asked Questions

What is tiktok-ig-shorts?

tiktok-ig-shorts is Generate Viral Tiktok and Instagram Shorts using Hyperframes with Claude and Codex. It is categorized as a Codex Skill with 10 GitHub stars.

What programming language is tiktok-ig-shorts written in?

tiktok-ig-shorts is primarily written in Python.

How do I install or use tiktok-ig-shorts?

You can find installation instructions and usage details in the tiktok-ig-shorts GitHub repository at github.com/misbahsy/tiktok-ig-shorts. The project has 10 stars and 1 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