muapi-fashion-try-on — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited muapi-fashion-try-on (Agent Skill) and scored it 45/100 (orange). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 1 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 1 flagged
A base64 string of 128+ characters appears in a documentation file. Encoded prompt injection hides the hostile instruction in base64 — invisible to keyword filters — and relies on the agent's ability to decode it at runtime. There is no normal authoring reason to embed a multi-hundred-byte base64 blob in skill docs.
*.sig, SIGNATURES) outside the documentation.Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Virtually try on different outfits by combining a person's photo and a clothing item, then optionally generate a professional fashion model video.
| Name | Type | Required | Default | Description |
|---|---|---|---|---|
person_image | image_url | yes | — | A photo of the person or model who will try on the clothes. |
clothing_image | image_url | yes | — | A photo of the clothing item to try on. |
If {{person_image}} or {{clothing_image}} is not provided, ask the user to upload them.
Once both images are available, submit the plan with ONE step to perform the try-on:
muapi image edit (model=qwen-image-edit-2511):{{person_image}} and {{clothing_image}}.A high-quality fashion photograph of the person from the first reference image wearing the exact clothing item from the second reference image. The fit should be natural and realistic, maintaining the person's pose and the clothing's texture and patterns. Soft studio lighting, neutral background, professional fashion photography style.Present the resulting fashion photo to the user for approval.
After the image is generated, ask the user if they would like to create a professional fashion video of the model wearing the outfit.
If requested, submit the plan with ONE step:
muapi video from-image (model=seedance-v1.5-pro-i2v-fast):Shot type of Three-Quarter Length Shot. [Push in] as model gracefully places hand on hip, shifts weight to one side, tilts head slightly with soft smile, and gently adjusts hair with fingertips, creating elegant movement and confidence.After generation, present the final fashion video.
fashion try on, virtual fitting room, try on clothes, model fashion, clothing preview
muapi CLI commands. Use muapi auth configure first if MUAPI_API_KEY is unset.curl -X POST https://api.muapi.ai/api/v1/<endpoint> -H "x-api-key: $MUAPI_API_KEY" -H 'content-type: application/json' -d '{...}' and poll with muapi predict wait <request_id>.{{input_name}} placeholders with the user's actual inputs before issuing each call.~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.