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 martgueritainaccurate875/skills --skill vision-analysisgit clone --depth 1 https://github.com/martgueritainaccurate875/skillsWrote 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/martgueritainaccurate875/skills/vision-analysis)<a href="https://agentmods.dev/skills/martgueritainaccurate875/skills/vision-analysis"><img src="https://agentmods.dev/badge/skills/martgueritainaccurate875/skills/vision-analysis/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/martgueritainaccurate875/skills/vision-analysis"><img src="https://agentmods.dev/badge/skills/martgueritainaccurate875/skills/vision-analysis.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 | $0.00250 | $0.01374 |
| Opus 5 | $0.00125 | $0.00687 |
| Sonnet 5 | $0.00050 | $0.00275 |
| Haiku 4.5 | $0.00025 | $0.00137 |
Grade A, and why
vision-analysis 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.
This is a copy
100% identical to vision-analysis — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 175 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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_imagetool 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:
{
"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:
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:
{
"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 |
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 · 175 lines · 250 tokens per session scan A a3b4720bfc5f
vision-analysis is a skill published in the GitHub repository martgueritainaccurate875/skills (6 stars, last pushed today), licensed MIT. It adds 250 tokens to every session and 1,374 once invoked, about $0.0013 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to vision-analysis, differing in 0 lines, and is treated as a copy.
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