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List the shipped video-evaluator skills so an agent can discover the shared review and artifact-intake surface.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
Assemble a grounded review prompt from a local artifact bundle so Codex or Claude Code can inspect the right files and ask the right questions.
Check a local video against layout annotations, safe zones, OCR text boxes, and frame samples so agents can catch cropped content, caption overlap, unreadable overlays, and platform-unsafe composition before shipping.
Collect first-pass source media facts, audio silence/energy, shot estimates, representative frame status, and persistent text/caption risk evidence.
Review a rendered video for technical defects such as resolution mismatch, missing or near-silent audio, black or white frames, edge gutters, low motion, sparse caption bands, and layout issue pass-through.
Fuse video shot segments with storyboard frames, OCR, transitions, and timeline artifacts into one per-segment evidence map for grounded video review.
Extract at least one storyboard frame per video shot segment so later OCR and segment evidence fusion can cover gaps missed by global sampling.
| name | skill-catalog |
| description | List the shipped video-evaluator skills so an agent can discover the shared review and artifact-intake surface. |
Use this when an agent needs to discover the shipped capabilities in
video-evaluator before choosing a narrower tool.
Pass an empty JSON object:
{}
The runner reads JSON from stdin and returns JSON on stdout.
The result lists each shipped skill with its name, description, example request path, and local runner hints. Treat the catalog as discovery metadata, not as a review result.
Run this first when you are dropped into an unfamiliar repo or an installed
.video-evaluator pack and do not know which narrower skill is appropriate.
After catalog discovery, choose the smallest skill that answers the task:
video-artifact-intake to map a run directory before reviewing it.review-bundle for a fast status summary of one run.storyboard-extract, storyboard-ocr, storyboard-transitions, and
storyboard-understand in that order for visual evidence.compare-video-runs only when two bundles are available.package-review-prompt when another agent needs a grounded prompt.Do not run this repeatedly once you already know the needed skill. Do not use it as proof that artifacts exist; it only describes available capabilities.
If the catalog runner is missing, the skill pack may not be installed correctly.
Use the repo-side runner from the source checkout, or run install-skill-pack
from the source repo if you need to materialize the pack elsewhere.
Repo-side runner:
node --import tsx scripts/harness/skill-catalog.ts
Installed-pack runner:
node ./.video-evaluator/agent/run-tool.mjs skill-catalog