Claude Code Video Toolkit is a workspace that lets Claude Code create videos by producing scripts, voiceovers, music, visuals, and rendered MP4 files. It is for developers using AI-assisted, programmatic video production with tools such as Remotion and open-source media models. The catalogue entries provide commands, skills, instructions, and settings for this workflow.
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/qwen-editnpx skills add digitalsamba/claude-code-video-toolkit --skill qwen-editgit 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/qwen-edit)<a href="https://agentmods.dev/skills/digitalsamba/claude-code-video-toolkit/qwen-edit"><img src="https://agentmods.dev/badge/skills/digitalsamba/claude-code-video-toolkit/qwen-edit.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 5.1 | $0.00056 | $0.00646 |
| Opus 5 | $0.00028 | $0.00323 |
| Sonnet 5 | $0.00011 | $0.00129 |
| Haiku 4.5 | $0.00006 | $0.00065 |
Grade A, and why
qwen-edit 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 6d 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 — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Qwen-Image-Edit Skill
AI-powered image editing using Qwen-Image-Edit-2511 via RunPod serverless.
Status: Evolving - learnings being captured as we experiment
When to Use This Skill
Use when the user wants to:
- Edit/transform photos while preserving identity
- Reframe cropped images (fix cut-off heads, etc.)
- Change clothing, add accessories
- Change pose (arm positions, hand placement)
- Apply style transfers (cyberpunk, anime, oil painting)
- Adjust lighting/color grading
- Add/remove objects
- Character transformations (Bond, Neo, etc.)
When NOT to Use
- Background replacement (single image) - creates cut-out artifacts, halos
- Face swapping - cannot preserve identity from reference
- Outpainting - can't extend canvas reliably
Use With Care
- Multi-image compositing - CAN work with explicit identity anchors (see examples.md for prompt patterns). Requires describing distinctive features (hair texture/color, ethnicity, outfit) and using guidance ~2.0
- Camera angle changes - Inconsistent results. Vertical angles (low/high) work better than rotational (three-quarter view)
Quick Reference
# Basic edit
uv run tools/image_edit.py --input photo.jpg --prompt "Add sunglasses"
# With negative prompt (recommended)
uv run tools/image_edit.py --input photo.jpg \
--prompt "Reframe as portrait with full head visible" \
--negative "blur, distortion, artifacts"
# Style transfer
uv run tools/image_edit.py --input photo.jpg --style cyberpunk
# Background (use cautiously - often fails)
uv run tools/image_edit.py --input photo.jpg --background office
# Higher quality
uv run tools/image_edit.py --input photo.jpg --prompt "..." --steps 16 --guidance 3.0
# Multi-image composite (identity-preserving)
uv run tools/image_edit.py --input person.jpg background.jpg \
--prompt "The [ethnicity] [gender] with [hair description] from first image is now in [scene] from second image. Same [features], [outfit]." \
--negative "different ethnicity, different hair color, different face shape, generic stock photo" \
--steps 16 --guidance 2.0
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 6d ago First seen · 76 lines · 56 tokens per session scan A 222c5020dbec
qwen-edit is a skill published in the GitHub repository digitalsamba/claude-code-video-toolkit (2,045 stars, last pushed 5d ago), licensed MIT. It adds 56 tokens to every session and 646 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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