# ragi

> ragi — hedypamungkas-ragi. Use this tool when you need to create and deploy portable retrieval contracts for various agents, allowing for evaluation, measurement, and iteration of retrieval models. It solves problems related to information retrieval and agent-agnostic model deployment, providing a flexible interface for defining and shipping contracts. Ideal for use cases where a standardized retrieval contract is required, with inputs including model definitions and outputs being portable contracts.

Canonical page: https://skillsregistry.net/skills/hedypamungkas-ragi  
JSON: https://api.skillsregistry.net/v1/skills/hedypamungkas-ragi

## Description

ragi — Retrieval that rises. Eval-first, agent-agnostic RAG toolkit: define, measure, iterate, ship as a portable retrieval contract (Python lib / MCP server) any agent consumes.

## Trust

- **Trust score (0–1):** 0.88
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## 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/hedypamungkas/ragi)

## 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": "hedypamungkas-ragi"
    }
  }
}
```

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