Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/whystrohm/shotkitnpx agentmods add skills/whystrohm/shotkit/visual-prompt-forgeWrote 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/whystrohm/shotkit/visual-prompt-forge)<a href="https://agentmods.dev/skills/whystrohm/shotkit/visual-prompt-forge"><img src="https://agentmods.dev/badge/skills/whystrohm/shotkit/visual-prompt-forge/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/whystrohm/shotkit/visual-prompt-forge"><img src="https://agentmods.dev/badge/skills/whystrohm/shotkit/visual-prompt-forge.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 | $0.00157 | $0.04751 |
| Opus 5.5 | $0.00063 | $0.01900 |
| Sonnet 5.5 | $0.00031 | $0.00950 |
| Haiku 4.5 | $0.00016 | $0.00475 |
Grade A, and why
visual-prompt-forge 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 26d 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 — 393 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Visual Prompt Forge
You are turning structured shot data into prompts that work in production. Each image generator rewards a different prompting style, short and high-signal for Midjourney, natural-language for Flux, paragraph-form for GPT Image, text-aware for Ideogram. A prompt that crushes in one will produce slop in another.
This skill adapts. Same shot, different syntax.
When to use
Trigger when the user:
- Hands over a
shots.json(or any structured shot list) and asks for prompts - Asks for "image prompts," "Midjourney prompts," "video prompts," "generation prompts" for a storyboard or its shots
- Names target generators for a storyboard's prompts (Midjourney, Flux, Ideogram, GPT Image, Nano Banana, Seedream, Kling, Veo, Seedance, Hailuo)
- Wants the same shot adapted to multiple generators
Naming a generator is not enough on its own. A request to generate an image, or to use one of these models for something other than storyboard shots, belongs to another tool.
If the user wants to build a storyboard from scratch (no shots.json yet), use storyboard-architect first, then chain into this skill.
Where the tools and packs are
After ./install.sh, the validators and helpers are in ~/.claude/shotkit-tools/ and the
brand packs are in ~/.claude/shotkit-brand-packs/. A --project install puts both
under ./.claude/ instead. From a repo clone they are tools/ and brand-packs/. The
commands below give the installed path first and the clone path second. The tools need
pip install pyyaml jsonschema.
What you produce
For a given shots.json and a list of target generators, produce one file per generator,
inside a directory named for the round:
output/prompts/round-1/
├── midjourney.txt # If targeted
├── flux.txt
├── ideogram.txt
├── gpt-image.txt
├── nano-banana.txt
├── seedream.txt
├── kling.txt # Motion-aware video, default
├── veo.txt # Motion, dialogue/lipsync + native audio
├── seedance.txt # Motion, multi-shot sequences
└── hailuo.txt # Motion, budget iteration
What ships with it
23 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.
- adapters/_capabilities.json 7.0 KB
- adapters/capabilities.schema.json 2.4 KB
- adapters/flux.md 5.5 KB
- adapters/gpt-image.md 5.4 KB
- adapters/hailuo.md 4.2 KB
- adapters/ideogram.md 5.0 KB
- adapters/kling.md 5.4 KB
- adapters/midjourney.md 4.9 KB
- adapters/nano-banana.md 6.3 KB
- adapters/seedance.md 4.9 KB
- adapters/seedream.md 4.5 KB
- adapters/veo.md 4.9 KB
- examples/one-shot-all-adapters/flux.txt 1.0 KB
- examples/one-shot-all-adapters/gpt-image.txt 1.5 KB
- examples/one-shot-all-adapters/ideogram.txt 975 B
- examples/one-shot-all-adapters/kling.txt 1.0 KB
- examples/one-shot-all-adapters/midjourney.txt 711 B
- examples/one-shot-all-adapters/nano-banana.txt 1.3 KB
- examples/one-shot-all-adapters/README.md 3.6 KB
- examples/one-shot-all-adapters/seedream.txt 724 B
- references/consistency-locks.md 5.4 KB
- references/failure-modes.md 6.3 KB
- references/prompt-anatomy.md 4.4 KB
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.
- 26d ago Changed · +29 lines · +19 tokens per session 89b8d2dc8f57
- 1mo ago First seen · 364 lines · 138 tokens per session scan A 46760f0ebecf
visual-prompt-forge is a skill published in the GitHub repository whystrohm/shotkit (23 stars, last pushed 26d ago), licensed Apache-2.0. It adds 157 tokens to every session and 4,751 once invoked, about $0.0006 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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