# Open Image Debugger

> Open Image Debugger — openimagedebugger-openimagedebugger. Use this tool when you need to visually inspect and debug in-memory image buffers during live C/C++ debug sessions. It solves problems related to image processing and rendering by providing a direct view of pixel values, renderings, and symbol information at breakpoints. The tool accepts image buffers as input and outputs lossless .npy copies, renderings, and exact pixel values, allowing for precise debugging and analysis.

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

## Description

Gives AI agents eyes on in-memory image buffers in live gdb/lldb C/C++ debug sessions: list observable symbols at a breakpoint, view renderings, read exact pixel values, and dump lossless .npy copies. Agents can also drive the human's viewer window (pan, zoom, channels, auto-contrast).

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vraxbz309h)
- **Repository:** <https://github.com/OpenImageDebugger/OpenImageDebugger>

## 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": "openimagedebugger-openimagedebugger"
    }
  }
}
```

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