# RavenEye

> RavenEye — harsh313-b-raveneye. Use this tool when you need to gather AI intelligence from various sources and generate actionable reports. RavenEye scans RSS feeds and GitHub to identify high-value opportunities, solving problems related to information overload and opportunity discovery. It integrates with an MCP multi-agent platform, taking in RSS and GitHub data and outputting Markdown reports.

Canonical page: https://skillsregistry.net/skills/harsh313-b-raveneye  
JSON: https://api.skillsregistry.net/v1/skills/harsh313-b-raveneye

## Description

Enables AI intelligence gathering by scanning RSS feeds and GitHub for high-value opportunities, then generating actionable Markdown reports through an MCP-integrated multi-agent platform.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/aahqhc3q9y)
- **Repository:** <https://github.com/harsh313-B/RavenEye>

## 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": "harsh313-b-raveneye"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/harsh313-b-raveneye` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/harsh313-b-raveneye/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