video-ingest
video-ingest is a Video production & editing skill for AI agents, published by gavishap in the omnia-vault repository on GitHub. Skillspace rates video-ingest D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Turn a video or audio recording — a local file OR a URL (YouTube, TikTok, Instagram, ...) — into vault knowledge using the crv (claude-real-video) CLI. Scene-aware keyframes + a Whisper transcript, frames correlated to what's being said, compiled into Raw source + Wiki notes with screenshots. Use when the user points at a recording, a meeting, a screen capture, or a reference video and wants it watched, transcribed, analyzed, or added to the vault.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 60
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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