Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/digitalsamba/claude-code-video-toolkit/runpodnpx skills add digitalsamba/claude-code-video-toolkit --skill runpodgit clone --depth 1 https://github.com/digitalsamba/claude-code-video-toolkitWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/digitalsamba/claude-code-video-toolkit/runpod)<a href="https://agentmods.dev/skills/digitalsamba/claude-code-video-toolkit/runpod"><img src="https://agentmods.dev/badge/skills/digitalsamba/claude-code-video-toolkit/runpod.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00064 | $0.02358 |
| Opus 5 | $0.00032 | $0.01179 |
| Sonnet 5 | $0.00013 | $0.00472 |
| Haiku 4.5 | $0.00006 | $0.00236 |
Grade A, and why
runpod scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 233 lines — stays where its author put it; the contents beside it link to each section on GitHub.
RunPod Cloud GPU
Run open-source AI models on cloud GPUs via RunPod serverless. Pay-per-second, no minimums.
Setup
# 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:
- Creates a RunPod template from the Docker image
- Creates a serverless endpoint with appropriate GPU
- 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 |
| sadtalker | ghcr.io/conalmullan/video-toolkit-sadtalker:latest |
RTX 4090 | 24GB | ~$0.05-0.15/job |
| qwen3_tts | ghcr.io/conalmullan/video-toolkit-qwen3-tts:latest |
ADA 24GB | 24GB | ~$0.01-0.05/job |
Total monthly cost: Rarely exceeds $10 even with heavy use.
How It Works
All tools follow the same pattern:
Local CLI → Upload input to cloud storage → RunPod API → Poll for result → Download output
- File transfer: Tools use Cloudflare R2 when configured (
R2_ACCOUNT_ID,R2_ACCESS_KEY_ID,R2_SECRET_ACCESS_KEY,R2_BUCKET_NAME), falling back to free upload services - RunPod API: Tools call the
/runendpoint, then poll/status/{job_id}until complete - Cold vs warm start: First request after idle spins up a worker (~30-90s). Subsequent requests are fast (~5-15s)
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 4d ago First seen · 233 lines · 64 tokens per session scan A a61ea498acd0
runpod is a skill published in the GitHub repository digitalsamba/claude-code-video-toolkit (2,041 stars, last pushed 3d ago), licensed MIT. It adds 64 tokens to every session and 2,358 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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