# tfmodsearch

> tfmodsearch — santyagoseaman-tfmodsearch. Use this tool when you need to efficiently search Terraform AWS module documentation using a combination of semantic, BM25, and keyword matching algorithms. It solves problems of quickly finding relevant information within large documentation sets, supporting AI agents like Claude Code and Codex. The tool takes in search queries as input and returns relevant documentation results, ideal for use cases where rapid discovery of specific Terraform modules is required.

Canonical page: https://skillsregistry.net/skills/santyagoseaman-tfmodsearch  
JSON: https://api.skillsregistry.net/v1/skills/santyagoseaman-tfmodsearch

## Description

TFModSearch — MCP server for AI agents (Claude Code, Codex, Claude Desktop) to search Terraform AWS module docs with hybrid search: semantic (bge-base-en-v1.5), BM25, and keyword matching.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **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/SantyagoSeaman/tfmodsearch)

## 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": "santyagoseaman-tfmodsearch"
    }
  }
}
```

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