# readx

> readx — wxtsky-readx. Use this tool when you need to analyze Twitter/X data to gain insights into user behavior, trends, and community dynamics. It solves problems related to social media monitoring, influencer identification, and network analysis by providing detailed information on users, tweets, and trends. The readx toolkit takes Twitter/X data as input and outputs actionable intelligence on communities and networks.

Canonical page: https://skillsregistry.net/skills/wxtsky-readx  
JSON: https://api.skillsregistry.net/v1/skills/wxtsky-readx

## Description

Twitter/X intelligence toolkit: analyze users, tweets, trends, communities, and networks.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** social-media
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/wxtsky-readx)

## 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": "wxtsky-readx"
    }
  }
}
```

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