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 mrdulasolutions/visionclaude --skill vision-describegit clone --depth 1 https://github.com/mrdulasolutions/visionclaudeWrote 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/mrdulasolutions/visionclaude/vision-describe)<a href="https://agentmods.dev/skills/mrdulasolutions/visionclaude/vision-describe"><img src="https://agentmods.dev/badge/skills/mrdulasolutions/visionclaude/vision-describe.svg" alt="Measured on agentmods" 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 | $0.00006 | $0.00186 |
| Opus 5 | $0.00003 | $0.00093 |
| Sonnet 5 | $0.00001 | $0.00037 |
| Haiku 4.5 | $0.00001 | $0.00019 |
Grade A, and why
vision-describe 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 7d 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
Vision Describe
When the user asks you to describe what you see, provide a thorough analysis:
- Primary subject: What is the main focus of the image?
- Environment: Indoor/outdoor, lighting, setting
- Text: Read ANY visible text exactly (signs, screens, labels, packaging)
- Objects: List notable objects with specific details (brand, color, size, condition)
- Activity: What is happening in the scene?
- Notable details: Anything unusual, interesting, or potentially useful
Be specific — say "red Nike Air Max 90" not "sneakers". Say "Samsung Galaxy S24 showing a weather app" not "a phone with an app open".
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.
- 7d ago First seen · 18 lines · 6 tokens per session scan A b40977a5ff77
vision-describe is a skill published in the GitHub repository mrdulasolutions/visionclaude (46 stars, last pushed 3mo ago), licensed MIT. It adds 6 tokens to every session and 186 once invoked, about $0.0000 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 2026-08-30.
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