Photoreal Carved Jack-o'-Lanterns on Old Farmhouse Porch Steps on Halloween Night

Prompt

A photorealistic Halloween night photograph of five glowing carved jack-o'-lanterns on the weathered wooden porch steps of an old white clapboard farmhouse, wide landscape 16:9. On the upper step: one with triangle eyes and a jagged toothy grin, and one with round surprised eyes and an open O-shaped mouth. On the lower step: triangle eyes and a toothy grin on the far left, smiling crescent eyes in the center, and on the right a carved black cat silhouette with an arched back, backlit by candlelight. Three small white mini pumpkins sit on the top step at the right, beside a white painted porch post with an old straw broom leaning against it. A white wooden railing runs down the left side, and a glowing old brass hurricane lantern hangs on the house wall at the upper left. Dry orange and red maple leaves are scattered over the worn grey steps. Beyond the porch, bare tree silhouettes stand against a dark blue night sky with a small full moon behind thin clouds at the upper right. Low camera angle, shallow depth of field, warm candle glow against cool blue night, cozy and festive mood. No people, no text, no logos.

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Context cost: ≈282 tokens when used.

Why this score

Quality checklist

• ✓ Describes the subject: yes
• ✗ Names a style: no
• ✓ Specifies lighting: yes
• ✓ Specifies camera or composition: yes
• ✗ Sets quality or detail: no
• ✓ 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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