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 kvrancic · Claude Skill · ★ 5
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is oneshot-video safe to install? View the security audit →
One-shot AI video studio for Claude Code, Codex and Cursor. Raw footage in: a finished edit, captioned clips, or a promo from a brief. Local on a Mac; hands the timeline back to Premiere, Final Cut and Resolve.
| Stars | 5 |
| Forks | 0 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 64.7081978678131/100 |
| Open Issues | 7 |
| Last Updated | 2026-10-10 |
| Created | 2026-10-08 |
| Platforms | claude-code, cli, codex, gemini, python |
| Est. Tokens | ~16k |
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oneshot-video is One-shot AI video studio for Claude Code, Codex and Cursor. Raw footage in: a finished edit, captioned clips, or a promo from a brief. Local on a Mac; hands the timeline back to Premiere, Final Cut an. It is categorized as a Claude Skill with 5 GitHub stars.
oneshot-video is primarily written in Python. It covers topics such as agent-skills, ai-video-editor, captions.
You can find installation instructions and usage details in the oneshot-video GitHub repository at github.com/kvrancic/oneshot-video. The project has 5 stars and 0 forks, indicating an active community.
oneshot-video is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to oneshot-video on Agent Skills Hub include mcp-video, AutoVideo-Agent, ghost-editor. 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: