3D Medical Anatomy Model Render Prompt

Prompt

{
  "fixed_prompt_components": {
    "composition": "Wide angle full body shot, the entire figure is visible from head to toe, far shot, vertical portrait framing, centered and symmetrical stance",
    "background": "Isolated on a seamless pure white background, studio backdrop, clean white environment",
    "art_style": "Photorealistic 3D medical render, ZBrush digital sculpture style, scientific anatomy model aesthetics",
    "texture_and_material": "Monochromatic silver-grey skin with brushed metal texture, micro-surface details, highly detailed muscle striation, matte finish",
    "lighting_and_tech": "Cinematic rim lighting, global illumination, raytracing, ambient occlusion, 8k resolution, UHD, sharp focus, hyper-detailed"
  },
  "variables": {
    "gender": "${gender:male}",
    "view_angle": "${view_angle:Front view}",
    "target_muscle_group": "${target_muscle_group:Pectoralis Major (Chest)}",
    "highlight_color": "${highlight_color:glowing cyan blue}"
  },
  "negative_prompt": "text, infographic, chart, diagram, labels, arrows, UI, cropped image, close-up, macro shot, headshot, cut off feet, cut off head, partial body, grey background, gradient background, shadows on floor, blurry, low resolution, distortion, watermark"
}

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Context cost: ≈314 tokens when used.

Why this score

Quality checklist

• ✓ Describes the subject: yes
• ✓ Names a style: yes
• ✓ Specifies lighting: yes
• ✓ Specifies camera or composition: yes
• ✓ Sets quality or detail: yes
• ✓ Gives size, duration or parameters: yes

The checklist is automatic and applies the same rules to every prompt. It checks structure, not whether the output is good. Prompt scores aren't comparable with tool scores. How we rank

Security

Scanned Nov 4, 2026 at the text shown on this page, with Cisco's open-source skill-scanner.

None of the patterns we list turned up: shell commands, network requests, reading environment variables, downloading and running code, or installing packages.

A scan lists patterns in the code. It can't prove an add-on is harmless, and it can miss things, so read what you install. How we scan

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