# qector-decoder-workbench-linux

> qector-decoder-workbench-linux — qectorlab-qector-decoder-workbench-linux. Use this tool when you need to decode and analyze various code formats using a comprehensive workbench with 19 decoders and 10 code families. It solves problems related to code decoding, analysis, and version control, providing outputs such as decoded data and immutable manifests with git hash and parity digest. Ideal for use in development and testing contexts where code analysis and version control are crucial, with inputs including code files and git repositories.

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

## Description

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

## Trust

- **Trust score (0–1):** 1.00
- **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-linux)

## 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-linux"
    }
  }
}
```

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