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 tdimino/claude-code-minoan --skill smolvlmgit clone --depth 1 https://github.com/tdimino/claude-code-minoanWrote 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/tdimino/claude-code-minoan/smolvlm)<a href="https://agentmods.dev/skills/tdimino/claude-code-minoan/smolvlm"><img src="https://agentmods.dev/badge/skills/tdimino/claude-code-minoan/smolvlm/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/tdimino/claude-code-minoan/smolvlm"><img src="https://agentmods.dev/badge/skills/tdimino/claude-code-minoan/smolvlm.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00020 | $0.00594 |
| Opus 5 | $0.00010 | $0.00297 |
| Sonnet 5 | $0.00004 | $0.00119 |
| Haiku 4.5 | $0.00002 | $0.00059 |
Grade A, and why
smolvlm 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 8d 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 — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SmolVLM - Local Image Analysis
Analyze images locally using SmolVLM-2B, a state-of-the-art compact vision-language model optimized for Apple Silicon via mlx-vlm.
Quick Usage
Describe an Image
python ~/.claude/skills/smolvlm/scripts/view_image.py /path/to/image.png
Ask a Question About an Image
python ~/.claude/skills/smolvlm/scripts/view_image.py /path/to/image.png "What text is visible?"
Specific Tasks
# Extract text (OCR)
python ~/.claude/skills/smolvlm/scripts/view_image.py screenshot.png "Extract all text"
# UI analysis
python ~/.claude/skills/smolvlm/scripts/view_image.py ui.png "Describe the UI elements"
# Detailed description
python ~/.claude/skills/smolvlm/scripts/view_image.py photo.jpg --detailed
Effective Prompts
General Description
"Describe this image"- Basic description"Describe this image in detail, including colors, composition, and any text"- Comprehensive
Text Extraction (OCR)
"Extract all visible text from this image""What text appears in this screenshot?""Read the text in this document"
UI/Screenshot Analysis
"Describe the user interface elements""What buttons and controls are visible?""Identify the application and its current state"
Visual Question Answering
"How many [objects] are in this image?""What color is the [object]?""Is there a [object] in this image?"
Code/Technical
"What programming language is shown?""Describe what this code does""Identify any errors in this code screenshot"
Model Details
| Spec | Value |
|---|---|
| Model | SmolVLM-2B-Instruct |
| Size | ~4GB |
| Peak Memory | 5.8GB |
| Speed | ~94 tok/s (M-series) |
| Supported Formats | PNG, JPG, JPEG, GIF, WebP |
Requirements
- macOS with Apple Silicon (M1/M2/M3)
- Python 3.10+
- mlx-vlm package:
uv pip install mlx-vlm --system
Troubleshooting
"Model not found": First run downloads the model (~4GB). Wait for completion.
What ships with it
2 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.
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.
- 8d ago First seen · 84 lines · 20 tokens per session scan A 09dd49125018
smolvlm is a skill published in the GitHub repository tdimino/claude-code-minoan (41 stars, last pushed yesterday), licensed MIT. It adds 20 tokens to every session and 594 once invoked, about $0.0001 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 2026-09-03.
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