# hicss-rag-test

> Use this tool when you need to efficiently search and retrieve HICSS papers by topic, author, or year range to streamline literature reviews and research exploration. It solves problems of manual searching and filtering by providing a targeted search interface that accepts topics, authors, and year ranges as inputs and outputs relevant paper details. Ideal for researchers and academics looking to quickly surface relevant studies and speed up their review process.

Canonical page: https://skillsregistry.net/skills/abdulsaboor938-hicss-rag-test  
JSON: https://api.skillsregistry.net/v1/skills/abdulsaboor938-hicss-rag-test

## Description

Find HICSS papers by topic, author, or year range. Explore sections and keywords to surface relevant research. Retrieve full document details to speed up literature reviews.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-05-13

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/abdulsaboor938/hicss-rag-test)

## 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": "abdulsaboor938-hicss-rag-test"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/abdulsaboor938-hicss-rag-test` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/abdulsaboor938-hicss-rag-test/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