# Simvidence

> Simvidence — osirisdynasty-simvidence. Use this tool when you need to visualize and analyze the architecture of your Python or TypeScript codebase, tracing events, contracts, dependencies, and change impact. It solves problems related to code comprehension, debugging, and maintenance by providing a local graph view with source evidence. Ideal for use with git, it helps developers understand complex code relationships and predict the effects of changes.

Canonical page: https://skillsregistry.net/skills/osirisdynasty-simvidence  
JSON: https://api.skillsregistry.net/v1/skills/osirisdynasty-simvidence

## Description

Local code architecture graph for Python and TypeScript: trace events, contracts, dependencies, and change impact with source evidence.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Osirisdynasty/Simvidence)

## 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": "osirisdynasty-simvidence"
    }
  }
}
```

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