PDoomVideo: Source code for the Claude Opus 5.5 music video for I'm Upping My P(doom)

by JohnHeibel · AI Tool · ★ 2.9k

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

Featured in: Claude Video Editing & Remotion Skills

Security audit verdict: SAFE · quality 53/100

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.

Quick Facts

Stars2,912
Forks281
LanguageJavaScript
CategoryAI Tool
Quality Score53/100
Open Issues4
Last Updated2026-09-25
Created2026-09-22
Platformsclaude-code, node
Est. Tokens~13k

About PDoomVideo

I'm Upping My P(doom) Source code for the Claude Opus 5.5 music video for I'm Upping My P(doom). I've also made a new more reliable and general base for making Claude animations with Claude Opus 5.5. Highly recommend checking it out! Credits Inspired by: this post on X Song: as far as I could find, it comes from this YouTube video from 2024 Lyrics from Osmarks showing the original udio...

Compatible Skills

These tools work well together with PDoomVideo for enhanced workflows:

  • lemo-opuscar — semantic(0.24)+complementary+same_lang+similar_pop+shared_platform (59%)
  • prompt-engineering-skills — semantic(0.24)+complementary+same_lang+similar_pop+shared_platform (58%)
  • ai-video-editor — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (58%)
  • hyperframes-motion-director — semantic(0.20)+complementary+same_lang+similar_pop+shared_platform (57%)
  • wozcode-plugin — semantic(0.15)+complementary+same_lang+similar_pop+shared_platform (55%)

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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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