# vaelor

> vaelor — anatolykoptev-vaelor. Use this tool when you need to navigate and understand complex codebases, and grep is insufficient. Vaelor provides a persistent call graph, semantic search, and per-symbol review learnings, taking git repositories as input and offering detailed insights as output. It's ideal for use cases where in-depth code analysis and comprehension are required, such as debugging, maintenance, or knowledge discovery.

Canonical page: https://skillsregistry.net/skills/anatolykoptev-vaelor  
JSON: https://api.skillsregistry.net/v1/skills/anatolykoptev-vaelor

## Description

A memory of the codebase your AI agent can't get from grep: a persistent call graph, semantic search, and per-symbol review learnings over any repo. Self-hosted MCP server — Go, tree-sitter, Apache AGE.

## 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:** Apache-2.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/anatolykoptev/vaelor)

## 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": "anatolykoptev-vaelor"
    }
  }
}
```

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