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.
npx skills add GenRamzi/creative-agent-skills --skill image-prompt-engineergit clone --depth 1 https://github.com/GenRamzi/creative-agent-skillsWrote 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/skills/genramzi/creative-agent-skills/image-prompt-engineer)<a href="https://agentmods.dev/skills/genramzi/creative-agent-skills/image-prompt-engineer"><img src="https://agentmods.dev/badge/skills/genramzi/creative-agent-skills/image-prompt-engineer/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/skills/genramzi/creative-agent-skills/image-prompt-engineer"><img src="https://agentmods.dev/badge/skills/genramzi/creative-agent-skills/image-prompt-engineer.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 | $0.00055 | $0.00832 |
| Opus 5 | $0.00028 | $0.00416 |
| Sonnet 5 | $0.00011 | $0.00166 |
| Haiku 4.5 | $0.00006 | $0.00083 |
Grade A, and why
image-prompt-engineer 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 — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Image prompt engineer
Convert a visual goal into a model-aware generation or editing specification. Keep creative language in the prompt and product controls in a separate settings block.
Resolve the job
Determine:
- Mode: generate, edit, remove, replace, extend, restyle, composite, or create variants.
- Intended use: concept, advertisement, editorial, UI asset, print, storyboard, or personal image.
- Target provider, interface, and model when known.
- Canvas orientation, aspect ratio, required resolution, and safe areas.
- Reference images and the exact role of each one.
- Required text, logos, identity, product geometry, or brand details.
- Elements that must be absent.
Load only the matching reference:
If no provider is specified, write a portable prompt and avoid invented settings.
Compose a generation brief
Build the prompt in this order when relevant:
- Use and medium: what the asset is for and whether it is a photograph, illustration, 3D render, diagram, collage, or another medium.
- Scene: environment, time, weather, foreground, background, and spatial relationships.
- Subject: identity-safe description, pose, expression, clothing, materials, and action.
- Composition: shot size, viewpoint, lens language, placement, negative space, and depth.
- Light and color: source, direction, softness, contrast, palette, and color temperature.
- Surface and style: texture, production technique, realism level, and visual references described by attributes rather than a living artist's name.
- Exact text: quote it verbatim, specify placement and hierarchy, and forbid extra copy.
- Constraints: exclusions, brand rules, and content that must remain legible or unchanged.
Describe relationships, not a bag of keywords. Prefer a red cup behind the notebook, both on the left third to a comma-separated list of objects.
What ships with it
3 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.
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 · 71 lines · 55 tokens per session scan A 4d2074732682
image-prompt-engineer is a skill published in the GitHub repository GenRamzi/creative-agent-skills (2 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 55 tokens to every session and 832 once invoked, about $0.0003 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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