avatar-frames SKILL.md skillA

avatar-frames 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/avatar-frames@git:20260709.ec45941

Pins git:20260709.ec45941 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
puntorigen/avatar-skills
Path
avatar-frames/SKILL.md
Versions recorded
1
Latest version
git:20260709.ec45941, committed Jul 9, 2026
Size
6,757 bytes
Repository stars
6
License
MIT

Extract ready avatar reference frames from talking-head videos — single face, face-region sharpness, no burned-in subtitles. Optionally saves inpaint candidates (1 face, sharp, with subtitles) in with_subtitles/ when requested or when no ready frames exist. Uses MediaPipe and EasyOCR. Use when the user asks to extract avatar frames, clean frames from video, reference images for virtual avatar, or talking-head frame extraction.

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

# Avatar Frames Extractor

Extract production-ready avatar frames from video reels, interviews, or talking-head clips.

## Setup

```bash
bash ~/.cursor/skills/avatar-frames/scripts/setup.sh
```

## Quick Reference

### Default — ready frames only

```bash
python3 ~/.cursor/skills/avatar-frames/scripts/extract_clean_frames.py video.mp4 -o frames/
```

Output: `frame_0001.png`, `frame_0002.png`, … (1 face, sharp, no subtitles)

### Explicitly include inpaint candidates

```bash
python3 ~/.cursor/skills/avatar-frames/scripts/extract_clean_frames.py video.mp4 \
  -o frames/ --with-subtitles
```

### Debug rejections

```bash
python3 ~/.cursor/skills/avatar-frames/scripts/extract_clean_frames.py video.mp4 \
  -o frames/ --save-rejected
```

## Output Rules

| Output | Criteria | When saved |
|--------|----------|------------|
| **Root** (`frame_*.png`) | 1 face, sharp face, no subtitles | Always |
| **`with_subtitles/`** | 1 face, sharp face, has subtitles | Only with `--with-subtitles` **or** when zero ready frames found (auto-fallback) |
| **`rejected/`** | blur, no_face, multi_face | Only with `--save-rejected` |
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add puntorigen/avatar-skills/avatar-frames@sha256:140aa25fce00e006

The line at the top of this page pins the label git:20260709.ec45941, 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_3n4lb44goflr4b7l.svg)](https://markdownregistry.com/a/art_3n4lb44goflr4b7l)

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

Versions

The registry has recorded 1 version of this file, committed on Jul 9, 2026.

versioncommittedcommitsizeaudit
git:20260709.ec45941 latest2026-07-09 ec45941 6,757 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 (6757 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_3n4lb44goflr4b7l
GET https://markdownregistry.com/api/v1/resolve?ref=puntorigen/avatar-skills/avatar-frames
GET https://markdownregistry.com/api/v1/blob/140aa25fce00e006b52be2eaca0a3160578881aadc48c958ab5b89ed8135a565

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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