muapi-multi-angle-shots — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited muapi-multi-angle-shots (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 set of multi-angle product shots — front, side, back, top-down, and 45-degree perspective — for comprehensive product visualization.
| Name | Type | Required | Default | Description |
|---|---|---|---|---|
product_name | text | yes | — | The product to photograph (e.g. "black leather sneaker", "glass perfume bottle", "smartwatch"). |
product_image | image_url | no | — | Optional reference product image to use as base. |
background_style | text | no | pure white studio | Background/environment (e.g. "pure white studio", "dark moody grey", "natural marble surface", "lifestyle context"). |
lighting | text | no | soft studio lighting, product photography | Lighting style (e.g. "dramatic side lighting", "flat lay top-down", "rim lighting", "natural daylight"). |
category | text | no | general product | Product category to tailor angle logic (e.g. "footwear", "watch/jewelry", "electronics", "beverage bottle", "skincare"). |
Submit a single the plan with all angles in parallel.
muapi image generate (model=ai-product-photography) if {{product_image}} provided, else muapi image generate (model=nano-banana-pro):{{product_name}} — perfectly centered FRONT VIEW, eye-level angle. {{background_style}} background. {{lighting}}. Sharp focus, commercial product photography, ultra detailed, no props.{{product_name}} — elegant 3/4 SIDE ANGLE view, slight perspective showing depth and form. {{background_style}} background. {{lighting}}. Shows product silhouette and side detail, commercial photography.{{product_name}} — BACK VIEW, centered, showing rear details, finishes, and labels if any. {{background_style}} background. {{lighting}}. Product photography, equal detail to front shot.muapi image generate (model=ai-product-shot) if {{product_image}} provided, else muapi image generate (model=bytedance-seedream-v4.5):{{product_name}} — perfectly overhead TOP-DOWN flat lay view, camera pointing straight down. {{background_style}} surface. Flat lay product photography, even lighting, no shadows at edges, symmetrically placed.muapi image generate (model=nano-banana-pro):{{product_name}} — dynamic low-angle HERO SHOT, slightly below eye level looking up at product. Dramatic {{lighting}}, slight depth of field, editorial product photography. {{background_style}} background. Premium commercial advertising quality.After generation:
kling-v3.0-pro-image-to-videoai-image-upscalerai-product-photography is ideal when a reference image is provided — it preserves product identity.multi angle, multiple angles, 360 product, product angles, all sides, front back side, product views, angle shots, product photography set
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.