# SentinelRAG

> SentinelRAG — deepanshu-raj-sentinelrag. Use this tool when you need to securely answer questions about code repositories and documentation, leveraging hybrid retrieval and multi-model evaluation to provide accurate results. It solves problems related to code understanding, documentation search, and secure question answering, accepting code-related queries as input and returning relevant answers and code snippets as output. Ideal for use in software development, coding, and technical documentation contexts.

Canonical page: https://skillsregistry.net/skills/deepanshu-raj-sentinelrag  
JSON: https://api.skillsregistry.net/v1/skills/deepanshu-raj-sentinelrag

## Description

A policy-aware hybrid RAG agent for secure question answering over code repositories and documentation, with BM25/FAISS retrieval, MCP-style tool routing, and multi-model evaluation.

## Trust

- **Trust score (0–1):** 0.83
- **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/deepanshu-Raj/SentinelRAG)

## 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": "deepanshu-raj-sentinelrag"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/deepanshu-raj-sentinelrag` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/deepanshu-raj-sentinelrag/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