debug
NVIDIA/TensorRT-Model-Optimizer/plugins/modelopt/skills/debug/SKILL.md
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 shares the repo filesystem. Requires the user to have started server.sh inside the container first.
Skill5.2k starsChanged 6 days ago
What's in it
- Remote Docker Debugger
- Quick Reference
--- name: debug description: 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 shares the repo filesystem. Requires the user to have started server.sh inside the container first. --- # Remote Docker Debugger 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 ```bash # 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 ```
More agent context in NVIDIA/TensorRT-Model-Optimizer
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AGENTS.md
Skill
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