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.
git clone --depth 1 https://github.com/davistroy/claude-marketplaceWrote 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.
[](https://agentmods.dev/commands/davistroy/claude-marketplace/develop-image-prompt)<a href="https://agentmods.dev/commands/davistroy/claude-marketplace/develop-image-prompt"><img src="https://agentmods.dev/badge/commands/davistroy/claude-marketplace/develop-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.
<a href="https://agentmods.dev/commands/davistroy/claude-marketplace/develop-image-prompt"><img src="https://agentmods.dev/badge/commands/davistroy/claude-marketplace/develop-image-prompt.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00014 | $0.03671 |
| Opus 5 | $0.00007 | $0.01835 |
| Sonnet 5 | $0.00003 | $0.00734 |
| Haiku 4.5 | $0.00001 | $0.00367 |
Grade A, and why
develop-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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 400 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Image Prompt Generator
Transform content into a comprehensive prompt for AI image generators. The resulting image should visually explain the given content in rich detail, suitable for printing or digital display at the specified dimensions.
Input Validation
Required Arguments:
<content-source>- The content to visualize (see Input Types below)
Optional Arguments:
--style <style>- Visual style preset or path to a style guide document (see Style Options below)--dimensions <WxH>- Output dimensions or aspect ratio (default: 11x17). See Dimensions section.--no-prompt- Skip interactive prompts. Use defaults for style selection and proceed directly to prompt generation.
Input Types:
The <content-source> argument accepts two input types:
| Type | Format | Example |
|---|---|---|
| File path | Path to a document file | architecture.md, docs/design.md |
| Concept description | Brief description in quotes | "microservices communication patterns" |
If no argument is provided and --no-prompt is not set, prompt interactively:
What would you like to visualize?
1. File path — Provide a document to visualize (e.g., architecture.md)
2. Concept — Describe what you want visualized (e.g., "user auth flow")
Enter file path or concept in quotes:
If no argument is provided and --no-prompt is set, display the error and exit:
Error: Missing required argument
Usage: /develop-image-prompt <content-source> [--style <style>] [--dimensions <WxH>] [--no-prompt]
Example: /develop-image-prompt architecture.md
Example: /develop-image-prompt "microservices communication patterns" --style infographic
Full usage:
Usage: /develop-image-prompt <content-source> [--style <style>] [--dimensions <WxH>] [--no-prompt]
Arguments:
<content-source> File path or concept in quotes (required)
--style <style> Style preset or style guide file (optional)
--dimensions <WxH> Output dimensions or aspect ratio (optional, default: 11x17)
Examples:
/develop-image-prompt architecture.md
/develop-image-prompt "microservices communication patterns"
/develop-image-prompt process-flow.md --style infographic --dimensions 16x9
/develop-image-prompt "user auth flow" --dimensions square --style photorealistic
/develop-image-prompt design-doc.md --style brand-guidelines.md
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.
- 9d ago First seen · 400 lines · 14 tokens per session scan A 1c995f94c815
develop-image-prompt is a command published in the GitHub repository davistroy/claude-marketplace (5 stars, last pushed 2d ago), licensed MIT. It adds 14 tokens to every session and 3,671 once invoked, about $0.0001 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 2026-08-31.
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