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 danielrosehill/Claude-Open-Router-Model-Research-Plugin --skill or-find-vision-modelsgit clone --depth 1 https://github.com/danielrosehill/Claude-Open-Router-Model-Research-PluginWrote 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/danielrosehill/claude-open-router-model-research-plugin/or-find-vision-models)<a href="https://agentmods.dev/skills/danielrosehill/claude-open-router-model-research-plugin/or-find-vision-models"><img src="https://agentmods.dev/badge/skills/danielrosehill/claude-open-router-model-research-plugin/or-find-vision-models/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/danielrosehill/claude-open-router-model-research-plugin/or-find-vision-models"><img src="https://agentmods.dev/badge/skills/danielrosehill/claude-open-router-model-research-plugin/or-find-vision-models.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 | $0.00083 | $0.00519 |
| Opus 5 | $0.00042 | $0.00260 |
| Sonnet 5 | $0.00017 | $0.00104 |
| Haiku 4.5 | $0.00008 | $0.00052 |
Grade A, and why
or-find-vision-models scanned grade A with 1 finding 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 11d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s https://openrouter.ai/api/v1/models -H "Accept: application/json" What it actually says
Find OpenRouter Vision Models
Filter the OpenRouter catalog to models that accept image input, then rank or summarize based on user criteria.
When to use
The user wants to discover models that can process images on OpenRouter — for OCR, image understanding, visual QA, document parsing, screenshot analysis, etc.
Workflow
- Fetch the catalog:
curl -s https://openrouter.ai/api/v1/models -H "Accept: application/json" - Filter
data[]wherearchitecture.input_modalitiesincludes"image". - Note the
pricing.imagefield — many vision models charge a separate per-image fee on top of token costs. Surface this in output. - If the user expressed preferences (cheapest, largest context, specific use case), apply ranking:
- Cheapest — sort by combined
pricing.prompt+pricing.image - Largest context — sort by
context_lengthdescending - Best for OCR/documents — favor models with high context windows and known strong OCR (Gemini, Qwen-VL family); flag this from the model description
- Cheapest — sort by combined
- If criteria are vague, ask one short question: budget? volume of images? text length per request?
- Return top 5–10 as a markdown table: ID, Context, Prompt $/1M, Completion $/1M, Image $ each, Other input modalities.
Notes
- Some models accept images but charge per image (not per token). Always show both costs.
- A model listing
imagein input but not output is for image understanding only — not generation. Image generation models also listimageinoutput_modalities. If the user wants generation, route to that subset. - Flag if a model's vision capability is limited (low max image size, or supports only small batches) when this info is in the description.
Output
Markdown table sorted by the user's criterion (default: cheapest combined cost). Include a count of total vision-capable models in the catalog.
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.
- 11d ago First seen · 38 lines · 83 tokens per session scan A 3d213502e0bc
or-find-vision-models is a skill published in the GitHub repository danielrosehill/Claude-Open-Router-Model-Research-Plugin (2 stars, last pushed 4mo ago), licensed MIT. It adds 83 tokens to every session and 519 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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