shipvideo: Paste a URL or a prompt, get a launch video. Opus 5.5 writes HTML, an OpenComputer serverless agent renders it

by diggerhq · Agent Tool · ★ 366

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

How to install shipvideo

npx opencomputer template deploy https://github.com/diggerhq/shipvideo
npm install && npx opencomputer link --create-project shipvideo && npx opencomputer deploy --watch

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

Security audit verdict: SAFE · quality 61/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 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.

Quick Facts

Stars366
Forks40
LanguageTypeScript
CategoryAgent Tool
Quality Score61/100
Open Issues1
Last Updated2026-10-01
Created2026-09-24
Platformsnode
Est. Tokens~10k

About shipvideo

LaunchVideo (launchvideo.io) Live: https://launchvideo.io Paste a URL or a prompt, get a 20 to 40 second launch video. No video model: Opus 5.5 writes a single HTML film and a serverless agent on OpenComputer renders it frame by frame in headless Chromium, encodes it with ffmpeg, and uploads the MP4 to Vercel Blob.

Compatible Skills

These tools work well together with shipvideo for enhanced workflows:

  • 30x-video — semantic(0.29)+complementary+same_lang+similar_pop+shared_platform (60%)
  • protocol-launcher — semantic(0.25)+complementary+same_lang+similar_pop+shared_platform (59%)
  • Orkas-VideoStudio — semantic(0.23)+complementary+same_lang+similar_pop+shared_platform (58%)
  • mcp-agent-langchainjs — semantic(0.17)+complementary+same_lang+similar_pop+shared_platform (56%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 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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