# ASTral

> ASTral — atypical-consulting-astral. Use this tool when you need to efficiently retrieve specific code snippets or symbols from large codebases, reducing costs associated with token-based code reading. ASTral solves the problem of precise code searching by indexing code structure with tree-sitter and querying via MCP, allowing for accurate symbol retrieval. It is ideal for use cases where rapid and cost-effective code analysis is required, such as automated code reviews or AI-powered coding assistants.

Canonical page: https://skillsregistry.net/skills/atypical-consulting-astral  
JSON: https://api.skillsregistry.net/v1/skills/atypical-consulting-astral

## Description

Structured code retrieval for AI agents — index once with tree-sitter, query symbols precisely via MCP. Cut code-reading token costs by up to 99%.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-26

## Source

- **Source listing:** [GitHub](https://github.com/Atypical-Consulting/ASTral)

## 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": "atypical-consulting-astral"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/atypical-consulting-astral` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/atypical-consulting-astral/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