ugc-photo-prompts

ugc-photo-prompts is a skill for Claude Code, Codex from palmier-io/palmier-skills. It costs 127 tokens per session (3,372 once invoked), scanned A, original, Apache-2.0.

Prompt-writing guidance for generating candid, phone-like user-generated-content photos in Palmier Pro. User-generated content, or UGC, is advertising made to look like an ordinary person's photo or video rather than a studio production.

In plain words
What is it for?
Use it to create selfie, flash, lifestyle, and product-in-hand image prompts with the Palmier Pro image tools.
Why use it?
It helps prompts describe the camera, framing, lighting, texture, and small imperfections needed for a convincing everyday-photo look.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to create selfie, flash, lifestyle, and product-in-hand image prompts with the Palmier Pro image tools.

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Install with agentmods
npx agentmods add skills/palmier-io/palmier-skills/ugc-photo-prompts
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add palmier-io/palmier-skills --skill ugc-photo-prompts
Clone the repo
git clone --depth 1 https://github.com/palmier-io/palmier-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for ugc-photo-prompts

README.md
[![agentmods](https://agentmods.dev/badge/skills/palmier-io/palmier-skills/ugc-photo-prompts/github.svg)](https://agentmods.dev/skills/palmier-io/palmier-skills/ugc-photo-prompts)
Your own site
<a href="https://agentmods.dev/skills/palmier-io/palmier-skills/ugc-photo-prompts"><img src="https://agentmods.dev/badge/skills/palmier-io/palmier-skills/ugc-photo-prompts/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for ugc-photo-prompts

Your own site · 80×15
<a href="https://agentmods.dev/skills/palmier-io/palmier-skills/ugc-photo-prompts"><img src="https://agentmods.dev/badge/skills/palmier-io/palmier-skills/ugc-photo-prompts.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 127 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,372 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00127 $0.03372
Opus 5 $0.00063 $0.01686
Sonnet 5 $0.00025 $0.00674
Haiku 4.5 $0.00013 $0.00337

Measured 12d ago against content hash 8e2ecc25e6e4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

ugc-photo-prompts scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/ugc-photo-prompts/SKILL.md · 112 lines

How it starts

The opening of the file, as written. The whole thing — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.

UGC-Style Photo Prompts

Core principle

Image models default to polish: symmetric features, smooth retouched skin, studio lighting, clean backgrounds. That polish is the single biggest tell that an image is AI-generated, and it's exactly what kills performance for UGC ads and influencer content — the entire point of UGC is that it doesn't look produced.

Telling the model "make it look realistic" doesn't work, because "realistic" isn't a style the model can target — it's an absence of all the polish defaults, and the model needs that absence written into every slot of the prompt as a specific physical detail. Realism comes from specificity (a named flaw, a named light source, a named texture), not from the word "realistic" itself.

The 9-slot formula

Fill every slot, in this order, for every prompt:

  1. Format declaration — camera + shot type + aspect ratio, stated first. This locks the model into "photo," not "illustration." e.g. "Ultra-realistic iPhone front-camera selfie, 4:5 vertical" / "Ultra-photorealistic flash photo, 4:5 vertical."
  2. Framing & lens behavior — distance (arm's length / chest-up / full body), angle (slightly above or below eye level), and the lens distortion that comes with it (wide-angle selfie warp, a shoulder cropped out of frame, imperfect centering).
  3. Subject — the imperfection stack. Never write "beautiful woman, smiling." Specify hair texture and disorder (damp, windblown, flyaways), skin (tone + pores + one specific flaw — freckles, redness, sweat, under-eye shadow, tan line), and a momentary, specific expression (mid-laugh, looking off to the side, mouth slightly open) instead of a generic one.
  4. Wardrobe + accessories, named specifically. Fabric, fit, and at least one small accessory (hoops, a layered necklace, a bag strap). Generic clothing description reads as generic AI output — specificity here is doing real work, not just flavor.
  5. Pose as interaction, not posture. Give the subject something to physically do — hold an object, mid-gesture, walking, getting their hair touched by someone off-frame — rather than "posing for camera." Static posing is the second-biggest AI tell after skin polish.
  6. Setting with texture and clutter. Name actual materials (brick, stone, fridge glass, car upholstery, a tiled floor) and at least one incidental detail unrelated to the subject (a second person's arm in frame, a parked car, a visible price tag). Staged sets don't have incidental detail; real environments always do.
  7. Lighting, named and physical. State the actual light source (direct flash, golden-hour side light, fluorescent overhead, window light) and what it visibly does to skin and shadow — not "good lighting," but what the light is doing.
  8. Vibe tag. One short phrase tying the scene together — "everyday building-corridor look," "candid basement-party energy" — this keeps the model from sliding back into editorial polish even after all the specific detail above.
  9. Negative space. Say what NOT to do. This is doing as much work as the rest of the prompt — see the standing list below.

Read the full file on GitHub · 112 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 112 lines · 127 tokens per session scan A 8e2ecc25e6e4

Subscribe to this mod's changes

ugc-photo-prompts is a skill published in the GitHub repository palmier-io/palmier-skills (66 stars, last pushed 11d ago), licensed Apache-2.0. It adds 127 tokens to every session and 3,372 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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