# vector-mirror

> vector-mirror — c64dos-png-vector-mirror. Use this tool when you need to accurately analyze SVG graphics and extract geometric, color, and spatial information. It solves problems of inconsistent or guessed SVG interpretations by rendering SVGs in a real browser and reporting results in standardized grid grammar and W3C color names. Ideal for use cases requiring precise SVG perception, such as image understanding, layout analysis, and visual question answering.

Canonical page: https://skillsregistry.net/skills/c64dos-png-vector-mirror  
JSON: https://api.skillsregistry.net/v1/skills/c64dos-png-vector-mirror

## Description

A deterministic SVG perception tool for LLM agents that renders SVGs in a real browser to measure geometry, colors, and spatial constraints, reporting results in grid grammar and W3C color names without guessing.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/yv3y9pu5kv)
- **Repository:** <https://github.com/c64dos-png/vector-mirror>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "c64dos-png-vector-mirror"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/c64dos-png-vector-mirror` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/c64dos-png-vector-mirror/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt