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 Phantomlau3674 · Codex Skill · ★ 24
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is voxstylehub-steven safe to install? View the security audit →
Standalone Codex skill for Vox-inspired editorial collage knowledge videos with deterministic Remotion assembly and optional generated motion.
| Stars | 24 |
| Forks | 1 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 58.819926173556/100 |
| Last Updated | 2026-07-22 |
| Created | 2026-07-21 |
| Platforms | codex, python |
| Est. Tokens | ~15k |
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voxstylehub-steven is Standalone Codex skill for Vox-inspired editorial collage knowledge videos with deterministic Remotion assembly and optional generated motion.. It is categorized as a Codex Skill with 24 GitHub stars.
voxstylehub-steven is primarily written in Python.
You can find installation instructions and usage details in the voxstylehub-steven GitHub repository at github.com/Phantomlau3674/voxstylehub-steven. The project has 24 stars and 1 forks, indicating an active community.
voxstylehub-steven is released under the MIT license, making it free to use and modify according to the license terms.
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.
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