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 SamurAIGPT/muapi-claude-code --skill image-to-videogit clone --depth 1 https://github.com/SamurAIGPT/muapi-claude-codeWrote 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/samuraigpt/muapi-claude-code/image-to-video)<a href="https://agentmods.dev/skills/samuraigpt/muapi-claude-code/image-to-video"><img src="https://agentmods.dev/badge/skills/samuraigpt/muapi-claude-code/image-to-video.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 | $0.00041 | $0.00298 |
| Opus 5 | $0.00020 | $0.00149 |
| Sonnet 5 | $0.00008 | $0.00060 |
| Haiku 4.5 | $0.00004 | $0.00030 |
Grade A, and why
image-to-video 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 8d 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.
What it actually says
Image to Video
Use the MuAPI image-to-video tool to animate a still image into a video clip.
Instructions
- Ask the user for the image URL or file path if not already provided
- If the user provides a local file, call
upload_filefirst to get a hosted URL - Ask the user for any motion guidance (optional) — e.g. "slow zoom in", "camera pan left", "gentle waves"
- Call the
image_to_videotool with the image URL and optional prompt - The tool uses the
kling-mastermodel by default - Display the resulting video URL to the user
- Report the generation cost from the response if available
Request
$ARGUMENTS
Notes
image_to_videorequires an existing image URL — upload local files withupload_filefirst- Generation is synchronous — the tool polls until complete and typically takes longer than image generation
- The response includes an
outputsarray with the video URLs - Cost information is included in
result.cost.amount_usd - For generating a video from a text description only (no source image), use
generate_videoinstead
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.
- 8d ago First seen · 31 lines · 41 tokens per session scan A 2ba8ab3a1f48
image-to-video is a skill published in the GitHub repository SamurAIGPT/muapi-claude-code (4 stars, last pushed 1mo ago), licensed MIT. It adds 41 tokens to every session and 298 once invoked, about $0.0002 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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