# semantic-grep

> semantic-grep — datnguyenzzz-semantic-grep. Use this tool when you need to efficiently search and analyze multiple codebases for specific patterns or keywords without excessive resource consumption. Semantic-grep solves the problem of scaling code analysis across various repositories, providing a cost-effective solution for coding agents. It takes in git repositories as input and outputs relevant code snippets, making it ideal for use cases where cross-codebase search and understanding are crucial.

Canonical page: https://skillsregistry.net/skills/datnguyenzzz-semantic-grep  
JSON: https://api.skillsregistry.net/v1/skills/datnguyenzzz-semantic-grep

## Description

Make multiple codebases available as context for any coding agent without spending too many resources or sacrificing quality

## Trust

- **Trust score (0–1):** 0.44
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## 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/datnguyenzzz/semantic-grep)

## 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": "datnguyenzzz-semantic-grep"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/datnguyenzzz-semantic-grep` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/datnguyenzzz-semantic-grep/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