Skill profile

video-assembly

Assemble final video from generated clips.

What this skill does for you

Assemble final video from generated clips, audio, and assets using FFmpeg or Remotion. Handles concatenation, audio mixing, transitions, titles, and export. Use when combining multiple production outputs into a final deliverable.

Quoted from the skill description in the pinned source

Who made it

Publishermckruz

Repositorycomfyui-expert

Installs332as of Sep 27, 2026

Use it with Edge

Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the video-assembly skill from mckruz/comfyui-expert.

Paste it into Claude, ChatGPT, Codex or Cursor.

Or read the skill source first.

Security evidence

Security state at 2026-09-30: reviewed. State definitions. This records static evidence for this revision; live load eligibility is checked again.

3 static scans, 0 counted findings. The listed scanners recorded the results shown for this package revision.

Scanner	Date	Result
Edge static checks	2026-09-27	Pass
Cisco skill-scanner	2026-09-27	Pass
Semgrep Edge rules	2026-09-27	Pass

Static scans check the code, not how well the skill works.

Scanner scope, raw findings and mirrored provider records

Edge static checks (Edge-run): edge-static/1.0.1. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: dee27dc3d69b609c0006a8a12e71aadfc475ae95. Raw findings: . Counted findings: .

Cisco skill-scanner (Edge-run): cisco-skill-scanner/2.1.0. Scope: Local static, YARA, pipeline and behavioral analyzers; no LLM or AI Defense analysis. Revision: dee27dc3d69b609c0006a8a12e71aadfc475ae95. Raw findings: 1. Counted findings: .

Semgrep Edge rules (Edge-run): semgrep/1.178.0+edge-rules.c15016a36fd3+offline-v1. Scope: Six Edge-authored static rules with Semgrep CE; offline execution and metrics disabled. Semgrep-maintained rules excluded. Revision: dee27dc3d69b609c0006a8a12e71aadfc475ae95. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/mckruz/comfyui-expert
Pinned skill file: View source at revision
Revision: dee27dc3d69b609c0006a8a12e71aadfc475ae95
Package hash: sha256:d7d9b566ff923d59746530cbddd564394c2d35d41045ba2a6dd4d9d7c36213f6
Licence: MIT