# qlens

> qlens — unknowbug-qlens. Use this tool when you need to view and manage HDR images with advanced decoding capabilities and integrate with AI agents. QLens solves problems related to image viewing, organization, and analysis, accepting various image formats as input and providing a user-friendly interface for output. It is ideal for use cases involving high-dynamic-range image processing, AI-powered image analysis, and plugin-based image decoding.

Canonical page: https://skillsregistry.net/skills/unknowbug-qlens  
JSON: https://api.skillsregistry.net/v1/skills/unknowbug-qlens

## Description

QLens — HDR image viewer (QuickView) + image manager with open tag database (qltag.db) + MCP server for AI agents. Plugin-based decoding: HEIC/AVIF/SVG/RAW/JXL; D3D11 HDR pipeline.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **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/unknowbug/qlens)

## 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": "unknowbug-qlens"
    }
  }
}
```

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

---
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