video-scene-analysis SKILL.md skillA

video-scene-analysis from puntorigen/avatar-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add puntorigen/avatar-skills/video-scene-analysis@git:20260709.0a5f9c8

Pins git:20260709.0a5f9c8 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
puntorigen/avatar-skills
Path
video-scene-analysis/SKILL.md
Versions recorded
2
Latest version
git:20260709.0a5f9c8, committed Jul 9, 2026
First version recorded
Jul 9, 2026
Size
14,903 bytes
Repository stars
6
License
MIT

Analyze local video files (mp4, mov, webm) into scene sequences: scene-change detection, scene type (talking head vs B-roll), split-screen / screen-composition detection (B-roll band + presenter, picture-in-picture, graphic overlays), B-roll kind (archival footage of a recognizable/known person vs generic material, naming the people), presenter background (real set/location vs animated/cartoons/motion graphics), zoom in/out vs previous scene, faster-whisper transcription with timecodes…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Video Scene Analysis

Analyze a local video into a structured scene sequence: cuts, visual type, zoom transitions, transcript with timecodes, and per-scene focus/emotion.

## Setup (one-time)

```bash
pip3 install -r ~/.cursor/skills/video-scene-analysis/scripts/requirements.txt
bash ~/.cursor/skills/video-scene-analysis/scripts/setup_models.sh
```

Requires `ffmpeg` and `ffprobe` on PATH.

## Quick start

```bash
SCRIPTS=~/.cursor/skills/video-scene-analysis/scripts

python3 $SCRIPTS/analyze_video.py video.mp4 -o .
python3 $SCRIPTS/analyze_video.py lolo/videos/clip.mp4 -o ./analysis --language es
```

Outputs in `-o` directory (default: cwd):

- `{stem}.analysis.json` — machine-readable sequence
- `{stem}.analysis.md` — human-readable report
- `{stem}_frames/scene_XX.jpg` — one sharp representative frame per scene

## Agent workflow (mandatory)

The script handles **steps 1–4** (visual + audio + frames + a conservative split-screen `layout.hint`). **You** (the active session LLM) must complete **steps 5–10** (camera, composition, summaries, mannerisms, avatar profile) by viewing the frames before delivering results. Do **not** call Gemini or any external LLM API.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add puntorigen/avatar-skills/video-scene-analysis@sha256:a14c86dfc19329fe

The line at the top of this page pins the label git:20260709.0a5f9c8, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_z7ox6rnbg7oovqmv.svg)](https://markdownregistry.com/a/art_z7ox6rnbg7oovqmv)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 2 versions of this file, all committed on Jul 9, 2026.

versioncommittedcommitsizeaudit
git:20260709.0a5f9c8 latest2026-07-09 0a5f9c8 14,903 BA view · diff
git:20260709.ec459412026-07-09 ec45941 14,874 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (14903 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

puntorigen/avatar-skills · 6 stars · license MIT · pushed 2026-09-15 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_z7ox6rnbg7oovqmv
GET https://markdownregistry.com/api/v1/resolve?ref=puntorigen/avatar-skills/video-scene-analysis
GET https://markdownregistry.com/api/v1/blob/a14c86dfc19329feddea770f3b372a0b43d95017da8c3af6e7adc1150623b984

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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