Echoes of the Rust Age

Prompt

{
  "title": "Echoes of the Rust Age",
  "description": "Two survivors navigate a treacherous landscape composed entirely of discarded technology and rusted metal.",
  "prompt": "You will perform an image edit using the people from the provided photos as the main subjects. Preserve their core likeness. Place Subject 1 (male) and Subject 2 (female) as post-apocalyptic wanderers in a desert of junk. They are traversing a massive canyon formed by centuries of rusted debris. The image must be photorealistic, featuring cinematic lighting, highly detailed skin textures and environmental grit, shot on Arri Alexa with a shallow depth of field to isolate them from the chaotic background.",
  "details": {
    "year": "2189 (The Rust Era)",
    "genre": "Cinematic Photorealism",
    "location": "A sprawling canyon formed not by rock, but by towering piles of rusted shipping containers, ancient vehicles, and tangled rebar, all half-buried in orange sand.",
    "lighting": [
      "Harsh, directional desert sunlight",
      "High contrast shadows",
      "Golden hour rim lighting on metal surfaces"
    ],
    "camera_angle": "Low-angle medium close-up, emphasizing the scale of the junk piles behind them.",
    "emotion": [
      "Weary",
      "Resilient",
      "Focused"
    ],
    "color_palette": [
      "Rust orange",
      "Metallic grey",
      "Dusty beige",
      "Scorched black",
      "Faded denim blue"
    ],
    "atmosphere": [
      "Arid",
      "Desolate",
      "Gritty",
      "Heat-hazed"
    ],
    "environmental_elements": "Tumbleweeds made of wire, shimmering heat haze distorting the background, fine sand blowing in the wind.",
    "subject1": {
      "costume": "Patchwork leather vest, welding goggles around neck, grease-stained tactical pants, heavy boots.",
      "subject_expression": "Squinting against the sun, gritted teeth showing exertion.",
      "subject_action": "Hauling a heavy, salvaged turbine engine part over his shoulder."
    },
    "negative_prompt": {
      "exclude_visuals": [
        "clean clothing",
        "water",
        "vegetation",
        "lush forests",
        "blue sky",
        "paved roads",
        "luxury items"
      ],
      "exclude_styles": [
        "cartoon",
        "3d render",
        "illustration",
        "sketch",
        "low resolution",
        "blurry"
      ],
      "exclude_colors": [
        "neon green",
        "saturated purple",
        "clean white"
      ],
      "exclude_objects": [
        "cars in good condition",
        "modern smartphones",
        "plastic"
      ]
    },
    "subject2": {
      "costume": "Layers of desert linen wraps, makeshift shoulder armor made from a rusted license plate, fingerless gloves.",
      "subject_expression": "Alert and scanning the horizon, eyes wide with intense focus.",
      "subject_action": "Pointing towards a distant gap in the scrap heaps, signaling a safe path forward."
    }
  }
}

Copy prompt

Context cost: ≈738 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