editorial-photo-prompt

editorial-photo-prompt is a skill for Claude Code from ur-grue/autopunk-media-skills. It costs 45 tokens per session (1,666 once invoked), scanned A, original, MIT.

A Flux prompt for editorial photography, meaning realistic images suited to journalism, documentaries, and factual media. It focuses on specific, grounded scenes rather than polished advertising imagery.

In plain words
What is it for?
Use it for articles, magazines, newsletters, editorial websites, documentary proposals, and other factual projects.
Why use it?
It helps create visuals that feel like real documentary photographs instead of illustrations or generic stock photos.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the autopunk-media-skills plugin — 187 skills shipped together

Good fit Use it for articles, magazines, newsletters, editorial websites, documentary proposals, and other factual projects.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ur-grue/autopunk-media-skills/editorial-photo-prompt
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 ur-grue/autopunk-media-skills --skill editorial-photo-prompt
Clone the repo
git clone --depth 1 https://github.com/ur-grue/autopunk-media-skills

Made for: Claude Code.

Or install autopunk-media-skills, the plugin that ships this one along with the rest of its 187 skills.

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 editorial-photo-prompt

README.md
[![agentmods](https://agentmods.dev/badge/skills/ur-grue/autopunk-media-skills/editorial-photo-prompt/github.svg)](https://agentmods.dev/skills/ur-grue/autopunk-media-skills/editorial-photo-prompt)
Your own site
<a href="https://agentmods.dev/skills/ur-grue/autopunk-media-skills/editorial-photo-prompt"><img src="https://agentmods.dev/badge/skills/ur-grue/autopunk-media-skills/editorial-photo-prompt/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 editorial-photo-prompt

Your own site · 80×15
<a href="https://agentmods.dev/skills/ur-grue/autopunk-media-skills/editorial-photo-prompt"><img src="https://agentmods.dev/badge/skills/ur-grue/autopunk-media-skills/editorial-photo-prompt.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 45 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,666 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 $0.00045 $0.01666
Opus 5 $0.00023 $0.00833
Sonnet 5 $0.00009 $0.00333
Haiku 4.5 $0.00005 $0.00167

Measured 8d ago against content hash 2f6b390003cc, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

editorial-photo-prompt 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 8d 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/image-prompting/flux/editorial-photo-prompt/SKILL.md · 115 lines

How it starts

The opening of the file, as written. The whole thing — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Editorial Photo Prompt

What This Skill Does

Writes a Flux prompt for editorial-style photography suitable for journalism, documentary, and factual media contexts — images that look authentic, specific, and grounded in the real world rather than idealized or commercial.

When To Use This Skill

  • You need an image to accompany a journalism or documentary project and want something that reads as a real photograph, not an illustration or stock photo
  • You are creating visuals for a magazine, newsletter, or editorial website and need images that match the register of documentary photography
  • You want to generate images that look like they were taken by a photojournalist or documentary photographer — specific, unposed, and authentic in feeling
  • You are testing visual concepts for a documentary pitch deck and need representative imagery quickly

What You Need To Provide

Required:

  • The subject or scene you need depicted (what is in the frame, who, where)
  • The editorial context (what story or article will this image accompany)

Optional:

  • Specific lighting conditions or time of day
  • Geographic or environmental context
  • The emotional register of the image (tension, hope, exhaustion, intimacy)
  • Aspect ratio or intended format
  • Any specific photographic style or documentary photographer whose aesthetic you want to reference
  • Whether the image should feel recent/contemporary or historically situated

How the Assistant Approaches This

  1. Identifies the key visual elements that will make the image feel editorial rather than commercial: specificity of detail, natural light, authentic environment, non-idealized subject presentation
  2. Structures the prompt around a specific, believable scene — not a generic representation of a concept but a particular moment that could plausibly have been photographed
  3. Applies Flux-specific prompt optimizations: Flux responds well to detailed scene descriptions, specific lighting language, and photographic medium references
  4. Adds negative-space considerations: what the image should not contain (stock photo genericness, artificial posing, commercial brightness, digital artifact sheen)
  5. Suggests aspect ratio and any metadata tags that improve Flux output quality for editorial photography
  6. Closes with a "Next Step" note: how many variations to generate before selecting for editorial use, whether to run the variation prompt for a different framing option, and any publication disclosure considerations to address before using AI-generated imagery

Read the full file on GitHub · 115 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 8d ago First seen · 115 lines · 45 tokens per session scan A 2f6b390003cc

Subscribe to this mod's changes

editorial-photo-prompt is a skill published in the GitHub repository ur-grue/autopunk-media-skills (32 stars, last pushed 12d ago), licensed MIT. It adds 45 tokens to every session and 1,666 once invoked, about $0.0002 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 2026-09-04.

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