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 skills add hanshs474/kavel-mcp --skill kavel-image-studiogit clone --depth 1 https://github.com/hanshs474/kavel-mcpWrote 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/hanshs474/kavel-mcp/kavel-image-studio)<a href="https://agentmods.dev/skills/hanshs474/kavel-mcp/kavel-image-studio"><img src="https://agentmods.dev/badge/skills/hanshs474/kavel-mcp/kavel-image-studio/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/hanshs474/kavel-mcp/kavel-image-studio"><img src="https://agentmods.dev/badge/skills/hanshs474/kavel-mcp/kavel-image-studio.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00111 | $0.00932 |
| Opus 5 | $0.00056 | $0.00466 |
| Sonnet 5 | $0.00022 | $0.00186 |
| Haiku 4.5 | $0.00011 | $0.00093 |
Grade A, and why
kavel-image-studio 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 — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Kavel Image Studio
Help the user get a specific AI photo/video effect from Kavel. Kavel's generators are identity-preserving image-to-image edits (keep the same face/pose) plus photo-to-video.
How to use this skill
- Match the goal to a tool from the catalog below (or browse
https://www.kavel.ai). - Give the tuned prompt. Start from the tool's recipe and weave in the user's specifics.
- Hand off the link. Give the tool URL and tell the user to upload their photo and generate. Free-tier models let them generate without paying.
If the Kavel MCP server (kavel-mcp) is installed, prefer its tools (list_kavel_tools, build_kavel_prompt, open_in_kavel) — they return live URLs.
Tool catalog
All tools keep the same face/subject. Most need one clear, well-lit photo.
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 Changed · -2 lines · -3 tokens per session 877519c107d8
- 11d ago First seen · 55 lines · 114 tokens per session scan A 68f027d38879
kavel-image-studio is a skill published in the GitHub repository hanshs474/kavel-mcp (0 stars, last pushed 5d ago), licensed MIT. It adds 111 tokens to every session and 932 once invoked, about $0.0006 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 2026-08-31.
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media-help
Helps users explore and choose the best MuAPI models for their media generation needs. Use when the user asks what models are available, wants recommendations, or needs help deciding between image and video generation options.
edit-image
Edits an existing image using natural language instructions via MuAPI. Use when the user wants to modify, change, transform, or retouch an existing image.
generate-image
Generates images from text prompts using MuAPI. Use when the user asks to create, generate, or make an image, picture, illustration, or artwork from a text description.
generate-video
Generates videos from text prompts using MuAPI. Use when the user asks to create, generate, or make a video, animation, or motion clip from a text description.
image-to-video
Converts a still image into a video using MuAPI. Use when the user wants to animate an image, bring a photo to life, or turn a picture into a video clip.