# Codesage

> Codesage — gaurav711cgu-codesage. Use this tool when you need to enhance code intelligence and recall for efficient code searching and verification. Codesage solves problems related to code recall and search by pairing deterministic AST call graphs with dense vector search, boosting recall rates under tight latency bounds. It takes in code queries and outputs relevant results, making it ideal for use cases involving large codebases and git repositories.

Canonical page: https://skillsregistry.net/skills/gaurav711cgu-codesage  
JSON: https://api.skillsregistry.net/v1/skills/gaurav711cgu-codesage

## Description

Graph-Augmented Code Intelligence RAG engine pairing deterministic AST call graphs with dense vector search to boost direct-callee Recall@8 from 0.0% to 53.3% (+53.3 pp) under a 5.8ms p95 latency bound. Powered by a QLoRA fine-tuned Qwen2.5 adapter (70.02 CodeBLEU), quality verification harness, and production Model Context Protocol (MCP) server.

## 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:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/Gaurav711cgu/Codesage)

## 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": "gaurav711cgu-codesage"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gaurav711cgu-codesage` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gaurav711cgu-codesage/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