Getting it into your agent
There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.
Wrote 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/imsus/pi-extension-minimax-coding-plan-mcp/minimax-image-understanding)<a href="https://agentmods.dev/skills/imsus/pi-extension-minimax-coding-plan-mcp/minimax-image-understanding"><img src="https://agentmods.dev/badge/skills/imsus/pi-extension-minimax-coding-plan-mcp/minimax-image-understanding/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/imsus/pi-extension-minimax-coding-plan-mcp/minimax-image-understanding"><img src="https://agentmods.dev/badge/skills/imsus/pi-extension-minimax-coding-plan-mcp/minimax-image-understanding.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk fail
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 | $0.00015 | $0.01069 |
| Opus 5 | $0.00008 | $0.00535 |
| Sonnet 5 | $0.00003 | $0.00214 |
| Haiku 4.5 | $0.00002 | $0.00107 |
Grade A, and why
minimax-image-understanding 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 10d 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 — 167 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MiniMax Image Understanding Skill
Use this skill when you need to analyze, describe, or extract information from images.
How to Use
Call the understand_image tool directly with a prompt and image URL:
understand_image({
prompt: "Your question about the image",
image_url: "https://example.com/image.png"
})
When to Use
Use understand_image when:
- Screenshots: Error messages, UI issues, code in screenshots
- Visual content: Photos, diagrams, charts, graphs
- Documents: Extracting text from images (OCR), understanding layouts
- UI/UX analysis: Evaluating designs, identifying components
- Visual debugging: Understanding visual bugs or layout issues
When NOT to Use
Do NOT use understand_image when:
- Image is already described in the conversation
- The image is a simple icon or emoji you recognize
- No image is provided or the image URL is inaccessible
- Redundant with existing context (e.g., file contents already visible)
Usage
understand_image({
prompt: "What do you see in this image?",
image_url: "https://example.com/screenshot.png"
})
API Details
Endpoint: POST {api_host}/v1/coding_plan/vlm
Request Body:
{
"prompt": "Your question about the image",
"image_url": "data:image/jpeg;base64,/9j/4AAQ..."
}
Response Format:
{
"content": "AI analysis of the image...",
"base_resp": {
"status_code": 0,
"status_msg": "success"
}
}
Image Processing
The tool automatically handles three types of image inputs:
-
HTTP/HTTPS URLs: Downloads the image and converts to base64
- Example:
https://example.com/image.jpg
- Example:
-
Local file paths: Reads local files and converts to base64
- Absolute:
/Users/username/Documents/image.png - Relative:
images/photo.png - Removes
@prefix if present
- Absolute:
-
Base64 data URLs: Passes through existing base64 data
- Example:
data:image/png;base64,iVBORw0KGgo...
- Example:
Image Formats
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.
- 10d ago First seen · 167 lines · 15 tokens per session scan A e1ec358d8f88
minimax-image-understanding is a skill published in the GitHub repository imsus/pi-extension-minimax-coding-plan-mcp (16 stars, last pushed 2mo ago), licensed MIT. It adds 15 tokens to every session and 1,069 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 2026-08-31.
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