# visor

> visor — dibun75-visor. Use this tool when you need to analyze and understand your codebase with precision, as V.I.S.O.R. indexes your code via AST parsing and delivers contextual insights to AI coding agents. It solves problems related to code comprehension, ranking, and navigation, providing a 5-signal scoring engine for informed decision-making. Ideal for use with popular development tools like VS Code and git, V.I.S.O.R. streamlines coding workflows and enhances collaboration with AI agents.

Canonical page: https://skillsregistry.net/skills/dibun75-visor  
JSON: https://api.skillsregistry.net/v1/skills/dibun75-visor

## Description

🔭 V.I.S.O.R. — Visual Intelligence System for Orchestrated Reasoning. A local-first MCP server that indexes your codebase via AST parsing, ranks code with a 5-signal scoring engine, and delivers surgical context to AI coding agents. Works with Antigravity, VS Code, Cursor, and Claude Code.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-27

## Source

- **Source listing:** [GitHub](https://github.com/dibun75/visor)

## 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": "dibun75-visor"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dibun75-visor` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dibun75-visor/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