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 kmilo93sd · Codex Skill · ★ 6
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is agent-video-editor safe to install? View the security audit →
Editing judgment for AI agents: pacing, cuts, captions, audio, color and thumbnails for any video type, plus 128 CC0 sounds, 26 CC0 graphics and a meme rights reference. Agent Skills format.
| Stars | 6 |
| Forks | 0 |
| Language | HTML |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 64.5141238075362/100 |
| Last Updated | 2026-10-04 |
| Created | 2026-10-04 |
| Platforms | claude-code, codex |
| Est. Tokens | ~19k |
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agent-video-editor is Editing judgment for AI agents: pacing, cuts, captions, audio, color and thumbnails for any video type, plus 128 CC0 sounds, 26 CC0 graphics and a meme rights reference. Agent Skills format.. It is categorized as a Codex Skill with 6 GitHub stars.
agent-video-editor is primarily written in HTML. It covers topics such as agent-skills, ai-agents, cc0.
You can find installation instructions and usage details in the agent-video-editor GitHub repository at github.com/kmilo93sd/agent-video-editor. The project has 6 stars and 0 forks, indicating an active community.
agent-video-editor is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to agent-video-editor on Agent Skills Hub include mcp-video, deterministic-agent-control-protocol, hersona. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
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: