BB-Video: An agent skill that makes videos in pure code — narrated explainers and product promos in 30 visual styles, 16

by BubbleBrainBB · Claude Skill · ★ 78

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

How to install BB-Video

npx skills add BubbleBrainBB/BB-Video                                          # pick interactively
npx skills add BubbleBrainBB/BB-Video --skill bb-video -a claude-code -g   # globally for Claude Code

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

Security audit verdict: SAFE · quality 57/100

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.

agent-skillsclaude-codeclaude-skillsexplainer-videoffmpegheadless-chromemotion-graphicsvideo-generation

Quick Facts

Stars78
Forks16
LanguageJavaScript
CategoryClaude Skill
LicenseMIT
Quality Score57/100
Last Updated2026-10-30
Created2026-10-05
Platformsbrowser, claude-code, node
Est. Tokens~18k

About BB-Video

BB Video An agent skill for making videos in pure code — no editing app, no stock footage. Every frame is drawn with HTML / SVG / canvas as a pure function of time, rendered frame by frame in headless Chrome, with music and sound effects synthesized in code, and encoded with ffmpeg. 中文说明 The skill You make one choice: the style.

BB-Video alternative? Top 6 similar tools

Looking for a BB-Video alternative? If you're comparing BB-Video with other claude skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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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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