# qector-decoder-workbench-windows

> qector-decoder-workbench-windows — qectorlab-qector-decoder-workbench-windows. Use this tool when you need to decode and analyze data from various code families and formats, as it provides a comprehensive workbench with 19 decoders and 85 tools. It solves problems related to data decoding, analysis, and version control, with features like versioned schemas and immutable manifests. It takes in encoded data as input and outputs decoded information, making it ideal for use cases involving data decoding and analysis, particularly in contexts where git version control is utilized.

Canonical page: https://skillsregistry.net/skills/qectorlab-qector-decoder-workbench-windows  
JSON: https://api.skillsregistry.net/v1/skills/qectorlab-qector-decoder-workbench-windows

## Description

QECTOR Decoder Workbench v1.0.7 (Windows) — 19 decoders, 10 code families, 85-tool MCP Server (qec.* 3-6 tools scoped), versioned schemas, immutable manifests with git hash + parity digest. Portable exe + onedir.

## Trust

- **Trust score (0–1):** 0.87
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/qectorlab/qector-decoder-workbench-windows)

## 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": "qectorlab-qector-decoder-workbench-windows"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/qectorlab-qector-decoder-workbench-windows` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/qectorlab-qector-decoder-workbench-windows/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