lemo-opuscar: A toolbox of film styles made in code for Claude Code: 99 ready to use, and your own

by lemomo-ai · Claude Skill · ★ 15.0k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Featured in: Claude Video Editing & Remotion Skills

How to install lemo-opuscar

git clone https://github.com/lemomo-ai/lemo-opuscar.git

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 62/100

None of the 43 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 43 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

agent-skillsai-agentsai-short-filmai-videoanimationcanvasclaudeclaude-codeclaude-code-pluginclaude-code-skill

Quick Facts

Stars15,014
Forks1,827
LanguageJavaScript
CategoryClaude Skill
Quality Score62/100
Open Issues6
Last Updated2026-11-12
Created2026-09-26
Platformsclaude-code, node
Est. Tokens~17k

About lemo-opuscar

Lemo-Opuscar 39 film styles, each with a short film made entirely in code. 39 种影片风格,每种都配一支完全用代码做出来的短片。 Pick a style, bring your own story, and let your coding agent direct the film. 选一个风格,带上你自己的故事,让你的编程 agent 来当导演。 ▶ Watch the gallery · 看图鉴 👋 About me · 关于我 I'm Lemomo (@lemomo-ai). More about me on my profile. 我是 Lemomo,更多信息见我的 GitHub 主页。 Not an awesome list.

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 43 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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:

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