image-prompt

image-prompt is a skill for Claude Code from mishahanin/heading-os. It costs 101 tokens per session (1,029 once invoked), scanned A, original, Apache-2.0.

A generator for detailed text prompts that can be given to an AI image tool. It turns the main idea, mood, subject, composition, lighting, and colours of written content into a visual description.

In plain words
What is it for?
Use it after writing content when you need a prompt for tools such as Midjourney, DALL-E, or Stable Diffusion.
Why use it?
It helps create a consistent image concept from an article, post, email, announcement, or presentation. This reduces the need to decide the visual direction from scratch.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: model in frontmatter.

Good fit Use it after writing content when you need a prompt for tools such as Midjourney, DALL-E, or Stable Diffusion.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/mishahanin/heading-os/image-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 mishahanin/heading-os --skill image-prompt
Clone the repo
git clone --depth 1 https://github.com/mishahanin/heading-os

Made for: Claude Code.

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 image-prompt

README.md
[![agentmods](https://agentmods.dev/badge/skills/mishahanin/heading-os/image-prompt/github.svg)](https://agentmods.dev/skills/mishahanin/heading-os/image-prompt)
Your own site
<a href="https://agentmods.dev/skills/mishahanin/heading-os/image-prompt"><img src="https://agentmods.dev/badge/skills/mishahanin/heading-os/image-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 image-prompt

Your own site · 80×15
<a href="https://agentmods.dev/skills/mishahanin/heading-os/image-prompt"><img src="https://agentmods.dev/badge/skills/mishahanin/heading-os/image-prompt.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 101 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,029 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 warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Excessive Agency · line 6
    Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.
    Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
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 $0.00101 $0.01029
Opus 5 $0.00051 $0.00515
Sonnet 5 $0.00020 $0.00206
Haiku 4.5 $0.00010 $0.00103

Measured 10d ago against content hash c6f0b34fece5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

image-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 10d 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

.claude/skills/image-prompt/SKILL.md · 100 lines

How it starts

The opening of the file, as written. The whole thing — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Image Prompt Generator

Analyze the preceding text, article, or post and generate a detailed, platform-ready image prompt for AI text-to-image tools.

Process

  1. Identify the Central Idea - Distill the main concept or narrative into one sentence
  2. Extract Visual Elements - Find symbols, metaphors, settings, or scenarios that represent the content's essence
  3. Define the Mood - Match the emotional atmosphere: inspirational, urgent, contemplative, dynamic, warm, authoritative
  4. Construct the Prompt - Compose a 50-150 word description with subject, composition, lighting, color palette, atmosphere

Visual Element Selection for 31C Content

Match content type to visual language:

Content Type Visual Direction
Maritime/leadership metaphors Sailing, navigation, open water, helm, compass, horizon
Product/technical Networks, data flows, light particles, fiber optics, server rooms
Platform/building narrative Architecture, bridges, foundations, construction, engineering
Expansion/market Landscapes, coastlines, cities at dawn, maps, new horizons
Tribe/culture Warm light, human silhouettes, collaborative spaces, depth
Sovereignty/independence National landmarks, flags in wind, fortified structures, vaults
Speed/growth Motion blur, launch trajectories, acceleration, time-lapse

Default brand palette: deep blues, teals, warm amber accents.

Output Format

Deliver exactly this structure:

**Core Theme Identified:** [One sentence - the central idea of the source content]

**Image Prompt:**
[50-150 words. Specific, descriptive, platform-ready. Include: subject matter, composition,
lighting, color palette, atmosphere. Only tangible, photographable elements.]

**Parameters:**
- Aspect Ratio: 16:9
- Style: Photorealistic, high-resolution, natural lighting, authentic textures
- No text, typography, words, letters, numbers, or written elements

**Platform Suffix (Midjourney):** --ar 16:9 --v 6.1 --style raw --s 250

Read the full file on GitHub · 100 lines

Files

What ships with it

2 files 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. 10d ago First seen · 100 lines · 101 tokens per session scan A c6f0b34fece5

Subscribe to this mod's changes

image-prompt is a skill published in the GitHub repository mishahanin/heading-os (11 stars, last pushed yesterday), licensed Apache-2.0. It adds 101 tokens to every session and 1,029 once invoked, about $0.0005 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.