Melancholic Nightlife Snapshot

Prompt

A candid nighttime photograph of a young woman in her early 20s with a slim figure, long light brown hair with blonde highlights, wearing a tight black long-sleeve top. She is sitting at a dark table on an outdoor bar terrace, head tilted down with eyes closed or looking down, holding a lit cigarette between her fingers near her face in an introspective, melancholic pose. On the table in the foreground: two Corona Extra beer bottles (one nearly empty, one with beer and foam), two small shot glasses with chili-tajín rimmed edges filled with amber liquid (tequila), a tall glass with an orange-red michelada-style drink with chili rim and straw, a stack of napkins, a smartphone with screen off, and a black purse. Behind her is a metal railing and a nighttime urban street scene with warm and cold lights, palm trees, parked cars, and glowing signs (Mexican town vibe). Lighting is mixed: warm amber light from above illuminating her face and hair creating a golden halo, contrasting with cool blue street lights in the background. Shot with a smartphone camera, 24mm equivalent lens, f/1.8, slight high angle, medium shot composition, visible digital noise and grain typical of low-light phone photography, casual snapshot aesthetic, intimate and melancholic mood, warm-cool color contrast, Instagram 2010s vibe, Nan Goldin-inspired intimate nightlife photography.

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Context cost: ≈343 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: no
• ✗ Gives size, duration or parameters: no

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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