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Agent skill · Audited from source

vision-analysis

skill · minimax-ai/skillsMIT licenceAudited 31 Oct 2026 · source ceddde63e832

★ 13,753pushed 196 days agoversion 1.0
✓SAFEGrade B · 89/100 · 31 Oct 2026 · ceddde6
13,753repo stars · whole minimax-ai/skills

Is it safe? Yes — SAFE, grade B (89/100). We read this skill's source at commit ceddde63e832 and found no filesystem, network or shell access and no hard-coded secrets. What it does: Analyze, describe, and extract information from images using the MiniMax vision MCP tool. Use when: user shares an image file path or URL (any message containing .jpg, .jpeg, .png, .gif, .webp, .bmp, or .svg file…

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Cite this page

ModelsAtlas. “vision-analysis (minimax-ai/skills)”. Retrieved 31 Oct 2026. https://modelsatlas.com/skills/minimax-ai/vision-analysis

Trust audit

Audit 0.4.1 · source read 31 Oct 2026

Trust score89/100✓SAFE B
0 critical0 high0 medium0 low0 info

SAFE means nothing in the source contradicts what the skill says it does. Grade B is shared by 16,667 of 17,602 audited skills.

What the source does

  • FilesystemNone observedNo reads or writes in the source
  • NetworkNone observedNo outbound calls in the source
  • ShellNone observedNo commands run in the source
  • DependenciesPinnedNothing floats
  • SecretsNone foundNo keys in source

Five audit layers

LayerWhat we checkResultFindings
L0 ProvenanceRepo owner, licence, archive status, activityPASS0
L1 Static sourceSecrets, path traversal, supply chain, hidden codeNA0
L2 InstructionsPrompt injection, authority framing, hidden directivesPASS0
L3 InventoryThe files and declarations match the sourcePASS0
L4 SandboxRun in isolation and watch behaviourSKIPPED why0

Gates applied: no behavioural pass.

Findings (0)

No findings at any severity. We re-audit when the source changes.

Audit 0.4.1 · source sha ceddde63e832 · 31 Oct 2026Report an issue or request a re-scan

Provenance

Who published it, and what the verdict is pinned to

  • Publisherminimax-ai GitHub organizationOwner of the repository this skill is read from
  • Source folderminimax-ai/skills/skills/vision-analysisThe exact folder we audited
  • LicenceMITAs the repository states it
  • Commit pinned for this verdictceddde63e832A new audit runs when the source changes
  • Repository statusNot archivedLast push 196 days ago
  • Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

What it tells the agent

Full source on GitHub ↗

Its description: Analyze, describe, and extract information from images using the MiniMax vision MCP tool. Use when: user shares an image file path or URL (any message containing .jpg, .jpeg, .png, .gif, .webp, .bmp, or .svg file…

---
name: vision-analysis
description: >
  Analyze, describe, and extract information from images using the MiniMax vision MCP tool.
  Use when: user shares an image file path or URL (any message containing .jpg, .jpeg, .png,
  .gif, .webp, .bmp, or .svg file extension) or uses any of these words/phrases near an image:
  "analyze", "analyse", "describe", "explain", "understand", "look at", "review",
  "extract text", "OCR", "what is in", "what's in", "read this image", "see this image",
  "tell me about", "explain this", "interpret this", in connection with an image, screenshot,
  diagram, chart, mockup, wireframe, or photo.
  Also triggers for: UI mockup review, wireframe analysis, design critique, data extraction
  from charts, object detection, person/animal/activity identification.
  Triggers: any message with an image file extension (jpg, jpeg, png, gif, webp, bmp, svg),
  or any request to analyze/describ/understand/review/extract text from an image, screenshot,
  diagram, chart, photo, mockup, or wireframe.
license: MIT
metadata:
  version: "1.0"
  category: ai-vision
  sources:
    - MiniMax Token Plan MCP (understand_image tool)
---

# Vision Analysis

Analyze images using the MiniMax `MiniMax_understand_image` MCP tool available in the MiniMax Token Plan.

## Prerequisites

- MiniMax Token Plan subscription with valid `MINIMAX_API_KEY`
- MiniMax MCP configured (`MiniMax_understand_image` tool available)

### If MCP tool is not configured

**Step 1:** The agent should fetch setup instructions from:
**https://platform.minimaxi.com/docs/token-plan/mcp-guide**

**Step 2:** Detect the user's environment (OpenCode, Cursor, Claude Code, etc.) and output the exact commands needed. Common examples:

**OpenCode** — add to `~/.config/opencode/opencode.json` or `package.json`:
```json
{
  "mcp": {
    "MiniMax": {
      "type": "local",
      "command": ["uvx", "minimax-coding-plan-mcp", "-y"],
      "environment": {
        "MINIMAX_API_KEY": "YOUR_TOKEN_PLAN_KEY",
        "MINIMAX_API_HOST": "https://api.minimaxi.com"
      },
      "enabled": true
    }
  }
}
```

**Claude Code**:
```bash
claude mcp add -s user MiniMax --env MINIMAX_API_KEY=your-key --env MINIMAX_API_HOST=https://api.minimaxi.com -- uvx minimax-coding-plan-mcp -y
```

**Cursor** — add to MCP settings:
```json
{
  "mcpServers": {
    "MiniMax": {
      "command": "uvx",
      "args": ["minimax-coding-plan-mcp"],
      "env": {
        "MINIMAX_API_KEY": "your-key",
        "MINIMAX_API_HOST": "https://api.minimaxi.com"
      }
    }
  }
}
```

**Step 3:** After configuration, tell the user to restart their app and verify with `/mcp`.

**Important:** If the user does not have a MiniMax Token Plan subscription, inform them that the `understand_image` tool requires one — it cannot be used with free or other tier API keys.

## Analysis Modes

| Mode | When to use | Prompt strategy |
|---|---|---|
| `describe` | General image understanding | Ask for detailed description |
| `ocr` | Text extraction from screenshots, documents | Ask to extract all text verbatim |
| `ui-review` | UI mockups, wireframes, design files | Ask for design critique with suggestions |
| `chart-data` | Charts, graphs, data visualizations | Ask to extract data points and trends |
| `object-detect` | Identify objects, people, activities | Ask to list and locate all elements |

## Workflow

### Step 1: Auto-detect image

The skill triggers automatically when a message contains an image file path or URL with extensions:
`.jpg`, `.jpeg`, `.png`, `.gif`, `.webp`, `.bmp`, `.svg`

Extract the image path from the message.

### Step 2: Select analysis mode and call MCP tool

Use the `MiniMax_understand_image` tool with a mode-specific prompt:

**describe:**
```
Provide a detailed description of this image. Include: main subject, setting/background,
colors/style, any text visible, notable objects, and overall composition.
```

**ocr:**
```
Extract all text visible in this image verbatim. Preserve structure and formatting
(headers, lists, columns). If no text is found, say so.
```

**ui-review:**
```
You are a UI/UX design reviewer. Analyze this interface mockup or design. Provide:
(1) Strengths — what works well, (2) Issues — usability or design problems,
(3) Specific, actionable suggestions for improvement. Be constructive and detailed.
```

**chart-data:**
```
Extract all data from this chart or graph. List: chart title, axis labels, all
data points/series with values if readable, and a brief summary of the trend.
```

**object-detect:**
```
List all distinct objects, people, and activities you can identify. For each,
describe what it is and its approximate location in the image.
```

### Step 3: Present results

Return the analysis clearly. For `describe`, use readable prose. For `ocr`, preserve structure. For `ui-review`, use a structured critique format.

## Output Format Example

For describe mode:
```
## Image Description

[Detailed description of the image contents...]
```

For ocr mode:
```
## Extracted Text

[Preserved text structure from the image]
```

For ui-review mode:
```
## UI Design Review

### Strengths
- ...

### Issues
- ...

### Suggestions
- ...
```

## Notes

- Images up to 20MB supported (JPEG, PNG, GIF, WebP)
- Local file paths work if MiniMax MCP is configured with file access
- The `MiniMax_understand_image` tool is provided by the `minimax-coding-plan-mcp` package

Excerpt, first 5,416 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

Install

Pinned to the audited commit ceddde6

Download folder ↗
claude mcp add -s user MiniMax --env MINIMAX_API_KEY=your-key --env MINIMAX_API_HOST=https://api.minimaxi.com -- uvx minimax-coding-pl

Commands as the repository documents them: shown, never run by us. Our verdict covers commit ceddde63e832 only.

Works in which agents?

What its own text says, not a test

AgentStatusMore
Claude CodeMentioned in its text, not testedSkills for Claude Code · About Claude Code
CursorMentioned in its text, not testedSkills for Cursor · About Cursor
“Mentioned” means the skill’s text names the agent. We have not run it there.

Audit history

Every audit, every source change

  1. ✓SAFE B 89 / 100

    first audit · source ceddde63e832

README badge

For maintainers · shows the latest audit

ModelsAtlas: SAFE BMODELSATLASSAFE · B
[![ModelsAtlas: SAFE B](https://modelsatlas.com/skills/minimax-ai/vision-analysis/badge.svg)](https://modelsatlas.com/skills/minimax-ai/vision-analysis/)

The badge shows our verdict and grade for this skill, and links back to this page. It changes when the audit does.

Similar skills

Add this badge to your README

[![ModelsAtlas: SAFE B](https://modelsatlas.com/skills/minimax-ai/vision-analysis/badge.svg)](https://modelsatlas.com/skills/minimax-ai/vision-analysis/)

Questions about vision-analysis

Is vision-analysis safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can vision-analysis access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
Which assistants does vision-analysis work with?
Its documentation mentions claude-code and cursor. That is what the text claims, not a compatibility test we ran.
How current is this page?
The grade is for one exact copy of the source (ceddde63e832), read on 2026-10-31. The repository is watched, and a new audit runs when it changes — this is the first audit.

Sources

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