by talsiach · Claude Skill · ★ 56
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is take-one safe to install? View the security audit →
A whole creative studio in one skill Type one line in Claude Code. Get a finished short film. https://github.com/user-attachments/assets/f2e005dc-b6b0-4023-b3d7-9bd958643022 Take One made this film, and the headphone ad inside it. The brand is made up. Sound on. Install (once) The easy way: paste this into Claude Code and it does the rest. Or do it yourself in a terminal: The second line checks your machine and says what is missing and what each piece is for. After that, Claude Code knows the skill in every session. A plain works too. You need Claude Code, Node 18 or later, Google Chrome and ffmpeg. So far it has been run on macOS only. How to work with it
npx skills add talsiach/take-one -g -a claude-code
Taken from the project's README on GitHub. Check the security audit before running it.
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 →
| Stars | 56 |
| Forks | 13 |
| Language | HTML |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 65/100 |
| Last Updated | 2026-10-16 |
| Created | 2026-10-13 |
| Platforms | claude-code |
| Est. Tokens | ~17k |
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take-one is Claude Code skill that makes launch videos, ads and music videos from one line: idea, script, visuals, voice, music, edit and review, then a review room where your notes make the next take. It is categorized as a Claude Skill with 56 GitHub stars.
take-one is primarily written in HTML. It covers topics such as agent-skills, ai-agents, ai-skill.
The README on GitHub (github.com/talsiach/take-one) gives: npx skills add talsiach/take-one -g -a claude-code. Usage details are in the same README.
take-one is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to take-one on Agent Skills Hub include product-launch-motion, awesome-motion-design-agent-skills, claudepro-directory. 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: