runpod SKILL.md skillA

runpod from digitalsamba/claude-code-video-toolkit is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add digitalsamba/claude-code-video-toolkit/runpod@git:20260826.290d7d3

Pins git:20260826.290d7d3 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
digitalsamba/claude-code-video-toolkit
Path
.claude/skills/runpod/SKILL.md
Versions recorded
3
Latest version
git:20260826.290d7d3, committed Aug 26, 2026
First version recorded
Feb 23, 2026
Size
8,365 bytes
Repository stars
2,477
License
MIT

Cloud GPU processing via RunPod serverless. Use when setting up RunPod endpoints, deploying Docker images, managing GPU resources, troubleshooting endpoint issues, or understanding costs. Covers all 5 toolkit images (qwen-edit, realesrgan, propainter, sadtalker, qwen3-tts).

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

# RunPod Cloud GPU

Run open-source AI models on cloud GPUs via RunPod serverless. Pay-per-second, no minimums.

## Setup

```bash
# 1. Create account at https://runpod.io
# 2. Add API key to .env
echo "RUNPOD_API_KEY=your_key_here" >> .env

# 3. Deploy any tool with --setup
uv run tools/image_edit.py --setup
uv run tools/upscale.py --setup
uv run tools/dewatermark.py --setup
uv run tools/sadtalker.py --setup
uv run tools/qwen3_tts.py --setup
```

Each `--setup` command:
1. Creates a RunPod **template** from the Docker image
2. Creates a serverless **endpoint** with appropriate GPU
3. Saves the endpoint ID to `.env` (e.g. `RUNPOD_QWEN_EDIT_ENDPOINT_ID`)

## Available Images

All images are public on GHCR — no authentication needed.

| Tool | Docker Image | GPU | VRAM | Typical Cost |
|------|-------------|-----|------|-------------|
| image_edit | `ghcr.io/conalmullan/video-toolkit-qwen-edit:latest` | A6000/L40S | 48GB+ | ~$0.05-0.15/job |
| upscale | `ghcr.io/conalmullan/video-toolkit-realesrgan:latest` | RTX 3090/4090 | 24GB | ~$0.01-0.05/job |
| dewatermark | `ghcr.io/conalmullan/video-toolkit-propainter:latest` | RTX 3090/4090 | 24GB | ~$0.05-0.30/job |
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add digitalsamba/claude-code-video-toolkit/runpod@sha256:a61ea498acd0f2c8

The line at the top of this page pins the label git:20260826.290d7d3, 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_nkb7nl5uzxnme3i2.svg)](https://markdownregistry.com/a/art_nkb7nl5uzxnme3i2)

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

Versions

The registry has recorded 3 versions of this file, between Feb 23, 2026 and Aug 26, 2026, about one every 92 days.

versioncommittedcommitsizeaudit
git:20260826.290d7d3 latest2026-08-26 290d7d3 8,365 BA view · diff
git:20260322.6060c432026-03-22 6060c43 8,365 BA view · diff
git:20260223.4f0be972026-02-23 4f0be97 4,968 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 (8365 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

digitalsamba/claude-code-video-toolkit · 2,477 stars · license MIT · pushed 2026-11-08 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_nkb7nl5uzxnme3i2
GET https://markdownregistry.com/api/v1/resolve?ref=digitalsamba/claude-code-video-toolkit/runpod
GET https://markdownregistry.com/api/v1/blob/a61ea498acd0f2c88a709dbeecbde64a29f6a3a605e88451d969189318d3c9aa

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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