# readgzh

> readgzh — sweesama-readgzh. Use this tool when you need to access and parse content from WeChat Official Account articles, as it solves the problem of limited text availability by returning the title, author, publish time, and clean Markdown content. It takes a WeChat article as input and outputs structured text data, making it useful for natural language processing and content analysis tasks. Ideal for use cases requiring full-text article retrieval and processing from WeChat Official Accounts.

Canonical page: https://skillsregistry.net/skills/sweesama-readgzh  
JSON: https://api.skillsregistry.net/v1/skills/sweesama-readgzh

## Description

Enables AI to read full-text WeChat Official Account articles, returning title, author, publish time, and clean Markdown content.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/f9ryqzkhc4)
- **Repository:** <https://github.com/sweesama/readgzh>

## 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": "sweesama-readgzh"
    }
  }
}
```

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