# tg-qa

> tg-qa — c-c0rtex-tg-qa. Use this tool when you need to automate testing of Telegram-bot dialogs or verify code specifications without requiring runtime tokens. It solves problems of ensuring QA consistency and accuracy by utilizing source code specs and MTProto for snapshot testing. Ideal for use cases involving git-based code management and automated testing workflows.

Canonical page: https://skillsregistry.net/skills/c-c0rtex-tg-qa  
JSON: https://api.skillsregistry.net/v1/skills/c-c0rtex-tg-qa

## Description

Autonomous Telegram-bot QA for Claude Code: snapshot-test dialogs over MTProto, specs from source code, zero tokens at run time.

## Trust

- **Trust score (0–1):** 0.84
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/c-c0rtex/tg-qa)

## 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": "c-c0rtex-tg-qa"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/c-c0rtex-tg-qa` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/c-c0rtex-tg-qa/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