Remote Docker Debugger
SkillFiles & storageLets your agent run commands inside a remote Docker container using this debug skill.
Available today. Use it from your connected AI after setup.
No other account needed.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the Remote Docker Debugger skill
About this skill
Run commands inside a remote Docker container via the file-based command relay (tools/debugger). Use when the user says "run in Docker", "run on GPU", "debug remotely", "run test in container", "check nvidia-smi", "run pytest in Docker", or needs to execute any command inside a Docker container that
What this skill tells your AI
The instructions your AI receives, as published by nvidia/model-optimizer in plugins/modelopt/skills/debug/SKILL.md and read by ahel’s review.
Execute commands inside a Docker container from the host using the file-based command relay.
Read tools/debugger/CLAUDE.md for full usage details — it has the protocol and examples.
Quick Reference
# Check connection
bash tools/debugger/client.sh status
# Connect to server (user must start server.sh in Docker first)
bash tools/debugger/client.sh handshake
# Run a command
bash tools/debugger/client.sh run "<command>"
# Long-running command (default timeout is 600s)
bash tools/debugger/client.sh --timeout 1800 run "<command>"
# Cancel the currently running command
bash tools/debugger/client.sh cancel
# Reconnect after server restart
bash tools/debugger/client.sh flush
bash tools/debugger/client.sh handshake
Signals
- GitHub stars
- 5k
- Forks
- 698
- Last commit
- Sep 2026
- Hacker News mentions
- 20
Advanced
- Item type
- skill
- Key
debug-nvidia- Source
- github.com/nvidia/model-optimizer