# RECON

> RECON — rafiulislam4246-recon-by-rafiul. Use this tool when you need to conduct comprehensive research across multiple sources, such as YouTube, academic papers, and podcasts, and require a system to score and validate the credibility of the information. RECON solves the problem of information overload and credibility assessment by analyzing substance and scoring credibility, and creates organized notebooks with knowledge graphs. It is ideal for use cases where in-depth research and reliable information are crucial, providing a structured output in NotebookLM format with a feedback loop for further refinement.

Canonical page: https://skillsregistry.net/skills/rafiulislam4246-recon-by-rafiul  
JSON: https://api.skillsregistry.net/v1/skills/rafiulislam4246-recon-by-rafiul

## Description

Enables multi-source research with YouTube, papers, and podcasts, scoring for substance and credibility, and creating NotebookLM notebooks with knowledge graph and feedback loop.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/mv8kelovge)
- **Repository:** <https://github.com/rafiulislam4246/recon-by-rafiul>

## 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": "rafiulislam4246-recon-by-rafiul"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rafiulislam4246-recon-by-rafiul` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rafiulislam4246-recon-by-rafiul/pull`

---
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