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 feitangyuan · Claude Skill · ★ 869
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is onetake safe to install? View the security audit →
onetake Motion films that never cut to the next slide. A Claude Agent Skill that makes product launch films, teasers and feature demos where every beat grows out of the one before — one continuous take, not a stack of scenes. 一镜到底的连贯动效。 做产品发布片、预告片、功能演示：每一个画面都从上一个画面里长出来，是一整条连续的镜头，而不是一张张轮流出场的"PPT"。 From onetake's own launch film. A prompt bar opens into the ad it asked for; the next prompt collapses into a line that shoots across the desk and opens into a festival screen. No cut. Full film with sound → English | 中文说明 English The problem: motion that falls apart Most motion videos an AI makes today — and most template tools — come out loose. Title card, fade, UI shot, fade, feature card, fade, logo. Each shot can look fine and the whole still reads like a slideshow, because nothing connects one beat to the next: scenes replace each other. What onetake does differently: every beat is carried
| Stars | 869 |
| Forks | 57 |
| Language | Python |
| Category | Claude Skill |
| Quality Score | 60.7186138764559/100 |
| Open Issues | 2 |
| Last Updated | 2026-09-29 |
| Created | 2026-09-26 |
| Platforms | claude-code, python |
| Est. Tokens | ~16k |
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onetake is Motion films that never cut to the next slide: every beat grows out of the one before, one continuous camera, continuity measured by an oracle. A Claude Agent Skill for product launch films and featur. It is categorized as a Claude Skill with 869 GitHub stars.
onetake is primarily written in Python. It covers topics such as agent-skill, animation, canvas.
You can find installation instructions and usage details in the onetake GitHub repository at github.com/feitangyuan/onetake. The project has 869 stars and 57 forks, indicating an active community.
The top alternatives to onetake on Agent Skills Hub include vox-director, anidoodle, compose-skill. 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: