muapi-amazon-product-listing — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited muapi-amazon-product-listing (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.
Generate a complete Amazon product listing image set — hero image, lifestyle shot, infographic with features, and comparison/detail closeups optimized for Amazon standards.
| Name | Type | Required | Default | Description |
|---|---|---|---|---|
product_name | text | yes | — | The product name (e.g. "Stainless Steel Water Bottle 32oz"). |
product_category | text | yes | — | Amazon category (e.g. "Kitchen & Dining", "Sports & Outdoors", "Electronics"). |
key_features | text | yes | — | Comma-separated top features to highlight (e.g. "leak-proof lid, BPA-free, keeps cold 24h, fits cupholder"). |
target_buyer | text | no | general consumer | Who buys this (e.g. "athletes", "busy moms", "office workers aged 25-45"). |
product_image | image_url | no | — | Optional existing product photo to use as base reference. |
Submit a SINGLE the plan with all steps running in parallel.
muapi image generate (model=ai-product-photography) if {{product_image}} provided, else muapi image generate (model=gpt4o-text-to-image):Professional Amazon main listing hero image of {{product_name}}. Pure white background #FFFFFF. Product centered, perfectly lit with soft studio lighting, no shadows. High resolution, commercial product photography, sharp focus on all details, 2000x2000px equivalent quality.muapi image generate (model=ai-product-shot) if {{product_image}} provided, else muapi image generate (model=nano-banana-pro):Amazon lifestyle image of {{product_name}} being used by {{target_buyer}} in a natural setting. {{product_category}} product in real-life use context. Warm natural lighting, aspirational but relatable, slight bokeh background. Commercial lifestyle photography, professional quality.muapi image generate (model=gpt4o-text-to-image):Amazon product detail page infographic for {{product_name}}. Shows product with 4-5 callout arrows highlighting these key features: {{key_features}}. Clean white or light grey background, professional typography, bold feature labels with icons. Amazon A+ content style, feature benefit layout, commercial design.muapi image generate (model=nano-banana-pro):Extreme closeup macro product detail shot of {{product_name}} — focus on premium materials, texture, quality craftsmanship. Studio lighting, white background, ultra sharp focus, demonstrates quality. Amazon product detail image showing materials/finish.After generation:
amazon listing, amazon product, product listing, ecommerce listing, amazon images, product photography amazon, listing images
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.