debug

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.

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仓库: NVIDIA/Model-Optimizer
最近来源活动: 2026年8月12日 16:33
检测到的 SKILL.md 语言: 英语
星标: 5,334
分支: 748

安装方式

默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。

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复制这段 Prompt，发给你正在使用的 AI 助手。

Follow https://skillsmp.com/skill-install/prompt.md to install only the Agent Skill at https://github.com/NVIDIA/Model-Optimizer/tree/main/plugins/modelopt/skills/debug.

直接命令不会经过审查 Prompt；运行前请先检查来源。

npx skills add https://github.com/NVIDIA/Model-Optimizer --skill debug

命令会保持在同一行。复制前请横向滚动并检查完整内容。

想先保存到本地？可下载 SkillsMP 当前能够提供的文件。

检查来源文件

决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。

SKILL.md

来源说明 · 只读预览

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 ```

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evaluation

Evaluates accuracy of quantized or unquantized LLMs using NeMo Evaluator Launcher (NEL). Triggers on "evaluate model", "benchmark accuracy", "run MMLU", "evaluate quantized model", "run nel". Handles deployment, config generation, and evaluation execution. Always load when validating completed runs or reporting evaluation scores, including standalone launching-evals analysis. Not for quantizing models (use ptq), standalone serving (use deployment), or comparing completed baseline-vs-quantized results (use compare-results).

2026-10-15

ptq

Use when the user asks to "quantize a model", "run PTQ", "post-training quantization", "NVFP4 quantization", "FP8 quantization", "INT8 quantization", "INT4 AWQ", "quantize LLM", "quantize MoE", "quantize VLM", or needs to produce a quantized HuggingFace checkpoint from a pretrained model using ModelOpt. Do NOT use for multi-candidate recipe exploration or optimization (use quant-recipe-search).

2026-10-09

release-cherry-pick

Audit merged bug-fix PRs and release NVBugs for missing cherry-pick labels, then cherry-pick labeled PRs into a release branch and open a PR. Use when asked to "cherry-pick PRs for release/X.Y.Z", "pick PRs to release branch", "verify cherry-pick labels", or "cherry-pick labeled PRs".

2026-10-08

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