Deploy and run ML experiments on local or remote GPU servers. Use when user says "run experiment", "deploy to server", "跑实验", or needs to launch training jobs.
Run Experiment Deploy and run ML experiment: $ARGUMENTS Workflow Step 1: Detect Environment Read the project's to determine the experiment environment: Local GPU ( ): Look for local CUDA/MPS setup info Remote server ( ): Look for SSH alias, conda env, code directory Vast.ai ( ): Check for at project root — if a running instance exists, use it. Also check for a section. Vast.ai detection priority: 1. If has or a section: If exists and has a running instance → use that instance If no running…
Full body not shown for this license – view the source on GitHub →Copy a source-pinned command for your client. You run it yourself.
Destination: .claude/skills/run-experiment · pinned to the source commit
# Run from your project root
git clone https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git .skillboard-tmp
git -C .skillboard-tmp checkout 692e9fa3fea40bbdf614584d461851f8fb968ac2
mkdir -p ".claude/skills"
cp -r ".skillboard-tmp/skills/42-wanshuiyin-ARIS/skills/run-experiment" ".claude/skills/"
rm -rf .skillboard-tmpReview the source before running. This copies files into your project; it is not a one-click install and does not verify runtime safety.
sudo apt update && sudo apt install -y gitnpm install -g @anthropic-ai/claude-code# Run from your project root
git clone https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git .skillboard-tmp
git -C .skillboard-tmp checkout 692e9fa3fea40bbdf614584d461851f8fb968ac2
mkdir -p ".claude/skills"
cp -r ".skillboard-tmp/skills/42-wanshuiyin-ARIS/skills/run-experiment" ".claude/skills/"
rm -rf .skillboard-tmpDestination: .claude/skills/run-experiment
Scanner static-checks@0.1.0 · commit 692e9fa3fea4. Static checks cannot prove runtime safety – review the source and the exact diff before installing. How checks work.
References credentials, tokens or secret files that a skill should not need.
Evidence: [redacted]· fingerprint ccae6d912a41bfef
Instructs shell/process/package operations that run commands on the host.
Evidence: pip install· fingerprint 7944ec554efca445
Uses encoding/eval patterns that can hide executable content.
Evidence: [redacted]· fingerprint 1bbd174404efbce9