# codeprism

> codeprism — rustic-ai-codeprism. Use this tool when you need to analyze and understand complex codebases, and want to leverage AI-generated insights to improve development efficiency. Codeprism provides a graph-based representation of code, solving problems related to code navigation, dependency tracking, and optimization. It takes in git repositories as input and outputs actionable intelligence, making it ideal for use cases involving large-scale code review and refactoring.

Canonical page: https://skillsregistry.net/skills/rustic-ai-codeprism  
JSON: https://api.skillsregistry.net/v1/skills/rustic-ai-codeprism

## Description

An experimental, 100% AI-generated, high-performance code intelligence server providing AI assistants with a graph-based understanding of codebases.

## Trust

- **Trust score (0–1):** 0.45
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/rustic-ai/codeprism)

## 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": "rustic-ai-codeprism"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rustic-ai-codeprism` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rustic-ai-codeprism/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