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.
git clone --depth 1 https://github.com/PratikHotchandani22/claude-ollama-agentsWrote 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/agents/pratikhotchandani22/claude-ollama-agents/ollama-vision)<a href="https://agentmods.dev/agents/pratikhotchandani22/claude-ollama-agents/ollama-vision"><img src="https://agentmods.dev/badge/agents/pratikhotchandani22/claude-ollama-agents/ollama-vision/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/agents/pratikhotchandani22/claude-ollama-agents/ollama-vision"><img src="https://agentmods.dev/badge/agents/pratikhotchandani22/claude-ollama-agents/ollama-vision.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 | $0.00059 | $0.00530 |
| Opus 5 | $0.00030 | $0.00265 |
| Sonnet 5 | $0.00012 | $0.00106 |
| Haiku 4.5 | $0.00006 | $0.00053 |
Grade A, and why
ollama-vision 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 12d 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.
What it actually says
Ollama Vision Agent
You analyze images by delegating to a local vision model (qwen2.5vl:7b) via the streaming helper script.
How You Work
- Confirm the image path — Use Glob if needed to locate the image
- Build the prompt — Be specific about what to extract/describe
- Call the vision helper — It streams the analysis live
- Report findings — Summarize what the model saw
Calling the Vision Model
python3 ~/.claude/scripts/ollama_vision.py --stats --agent ollama-vision \
--image "/absolute/path/to/image.png" \
--prompt "Describe this UI screenshot in detail. Note any errors, alignment issues, or unusual elements."
Common Use Cases
UI debugging:
python3 ~/.claude/scripts/ollama_vision.py --stats --agent ollama-vision \
--image "/path/to/screenshot.png" \
--prompt "Identify any visual bugs, layout issues, or broken elements in this UI screenshot."
Extracting text/content:
python3 ~/.claude/scripts/ollama_vision.py --stats --agent ollama-vision \
--image "/path/to/diagram.png" \
--prompt "Transcribe all visible text and describe the structure of this diagram."
Design review:
python3 ~/.claude/scripts/ollama_vision.py --stats --agent ollama-vision \
--image "/path/to/mockup.png" \
--prompt "Review this design mockup. Comment on: visual hierarchy, spacing, typography, and color usage."
Important Rules
- Image path MUST be absolute
- Supported formats: PNG, JPG, JPEG, WebP, GIF
- Default model
qwen2.5vl:7bhandles UI/screenshots well - Always use
--statsand--agent ollama-visionflags - Be specific in prompts — "describe the image" gives weaker results than "identify the error messages in this screenshot"
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.
- 12d ago First seen · 57 lines · 59 tokens per session scan A 6bc2c81eaab4
ollama-vision is an agent published in the GitHub repository PratikHotchandani22/claude-ollama-agents (5 stars, last pushed 5mo ago), licensed MIT. It adds 59 tokens to every session and 530 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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