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 PrunaAI/pruna-skills --skill image-promptinggit clone --depth 1 https://github.com/PrunaAI/pruna-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/prunaai/pruna-skills/image-prompting)<a href="https://agentmods.dev/skills/prunaai/pruna-skills/image-prompting"><img src="https://agentmods.dev/badge/skills/prunaai/pruna-skills/image-prompting/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/prunaai/pruna-skills/image-prompting"><img src="https://agentmods.dev/badge/skills/prunaai/pruna-skills/image-prompting.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 | $0.00033 | $0.01394 |
| Opus 5.5 | $0.00013 | $0.00558 |
| Sonnet 5.5 | $0.00007 | $0.00279 |
| Haiku 4.5 | $0.00003 | $0.00139 |
Grade A, and why
image-prompting 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.
How it starts
The opening of the file, as written. The whole thing — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Image prompting
Vendor-neutral craft for still-image generation and editing. Works with Pruna p-image family, Flux, Midjourney, Ideogram, Stable Diffusion, and similar APIs.
Install
| Skill | Description | Install |
|---|---|---|
image-prompting |
Use when crafting still-image prompts for any generative model — composition, identity sheets, edits, try-on, and photoreal personas. | npx skills add PrunaAI/pruna-skills@image-prompting -y |
generation-diversity |
Use when writing any generative prompt — ritual seed, explicit structure, scenario axes, and quality gates before paid API calls. | npx skills add PrunaAI/pruna-skills@generation-diversity -y |
When to use
- Writing photo generation prompts
- Building character identity / turnaround sheets
- Surgical edits (change/keep discipline)
- Virtual try-on garment prompts
- Photoreal or stylized persona plates for avatars
Works with
Pruna p-image (simple quick photos), p-image-ideogram (controlled photo generation — text, JSON, hex/bbox), p-image-edit / p-image-try-on / p-image-upscale, Flux, Midjourney, Ideogram, SDXL, and other still models.
When NOT to use
Use a different skill instead:
| Skill | Description | Install |
|---|---|---|
video-prompting |
Use when crafting video or motion prompts for any generative model — dramaturgy, camera, physics-safe motion, frame anchors, and clip chaining. | npx skills add PrunaAI/pruna-skills@video-prompting -y |
audio-prompting |
Use when crafting TTS, music, or bed prompts for any generative audio model — director style, song structure, and post-production layering. | npx skills add PrunaAI/pruna-skills@audio-prompting -y |
pruna-api |
Use before any Pruna or Replicate HTTP call — credentials, upload/poll/download, parallel batches, and agent safety. | npx skills add PrunaAI/pruna-skills@pruna-api -y |
p-image |
Use when someone explicitly wants the fastest, cheapest photo generation — mood boards, bulk panels, or quick iterations — not when controlled photoreal or in-image text is needed. | npx skills add PrunaAI/pruna-skills@p-image -y |
What ships with it
12 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.
- references/character-turnaround-sheet.md 4.2 KB
- references/p-image-edit-prompting.md 3.9 KB
- references/p-image-edit-quality-checklist.md 1008 B
- references/p-image-quality-checklist.md 1.9 KB
- references/p-image-try-on-prompting.md 2.0 KB
- references/p-image-try-on-quality-checklist.md 3.4 KB
- references/p-image-upscale-guidance.md 1.8 KB
- references/p-image-upscale-quality-checklist.md 998 B
- references/prompt-golden-rules.md 5.1 KB
- references/realistic-persona-example-prompt.md 6.2 KB
- references/realistic-persona-showcase.md 20 KB
- skill.manifest.json 439 B
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.
- 10d ago Changed 431764730bbb
- 26d ago Changed 29be6716b3fe
- 1mo ago Changed c84643d39bf3
- 1mo ago Changed 928b8ef4f10a
- 1mo ago Changed b7728c2f2463
- 1mo ago First seen · 76 lines · 33 tokens per session scan A a70c979d9731
image-prompting is a skill published in the GitHub repository PrunaAI/pruna-skills (20 stars, last pushed 11d ago), licensed Apache-2.0. It adds 33 tokens to every session and 1,394 once invoked, about $0.0001 per session on Opus 5.5. 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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