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 vinsonconsulting/limner --skill style-from-imagesgit clone --depth 1 https://github.com/vinsonconsulting/limnerWrote 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/vinsonconsulting/limner/style-from-images)<a href="https://agentmods.dev/skills/vinsonconsulting/limner/style-from-images"><img src="https://agentmods.dev/badge/skills/vinsonconsulting/limner/style-from-images/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/vinsonconsulting/limner/style-from-images"><img src="https://agentmods.dev/badge/skills/vinsonconsulting/limner/style-from-images.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 | $0.00046 | $0.00993 |
| Opus 5 | $0.00023 | $0.00496 |
| Sonnet 5 | $0.00009 | $0.00199 |
| Haiku 4.5 | $0.00005 | $0.00099 |
Grade A, and why
style-from-images 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 — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Style from user images
Limner is an independent third-party project built on Anthropic's CMA platform; it is not an Anthropic or Claude product.
Use this skill when a user brings their own images and wants new work to match. Limner carries the style across two ways: you describe the references into a style profile so the look is reusable, and you pass a reference image to a generator directly so it borrows the look without words. Describe for a consistent batch; pass the image for a close one-off match. The reference at the end states the profile shape and the rules.
Procedure
- Look at the references. Name the palette (a few hex colors), the descriptors (style keywords), and the medium.
- Write the profile. Use upsertStyleProfile to save them to the project's style profile, set provenance.source to style-from-images, and list the user's images under references (kind image).
- Match directly for a close one-off. Pass a reference image URL to a generator (a Midjourney style reference with --sref, a DALL·E edit, or a Recraft image-to-image).
- Generate in the style. Shape each prompt from the profile's descriptors and medium, and set pipelinePrefs so a batch stays consistent.
- Hold the look fixed. Keep palette and descriptors constant across the set and vary only the subject.
Judgment
- Capture the few attributes that define the look, not every detail; a tight profile generates more consistently than a long one.
- Use native image input for a close single match; use the described profile to keep a whole batch consistent.
- Record the user's images under references so the profile's origin is traceable.
- The style profile is the shared shape the brand-kit and art-research skills also read, so a style captured here flows straight into them.
Reference
The text below is generated from the Limner guidance core (@limner/core), the
same source the MCP style-from-images prompt serves, so this skill and that
prompt cannot drift. Do not edit the generated region by hand; run
pnpm --filter @limner/limner-agent gen:skills instead.
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 · 77 lines · 46 tokens per session scan A 8b7e81dfc837
style-from-images is a skill published in the GitHub repository vinsonconsulting/limner (1 stars, last pushed 28d ago), licensed Apache-2.0. It adds 46 tokens to every session and 993 once invoked, about $0.0002 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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