← All skills

experiment-bridge

97 / 100 · Low risk

Fine to try.

By brycewang-stanford/Auto-Empirical-Research-Skills (GitHub) · research · 5,016 stars · scanned at commit 8684584

Workflow 1.5: Bridge between idea discovery and auto review. Reads EXPERIMENT_PLAN.md, implements experiment code, deploys to GPU, collects initial results. Use when user says "实现实验", "implement experiments", "bridge", "从计划到跑实验", "deploy the plan", or has an experiment plan ready to execute.

Works with any agent that supports SKILL.md skills.

What this skill can do

Other copies in this repository

brycewang-stanford/Auto-Empirical-Research-Skills has 1 more folder with a skill named experiment-bridge. This page shows the lowest-scoring copy.

• skills/42-wanshuiyin-ARIS/skills/skills-codex/experiment-bridge 97/100 · Low risk

Install

Paste this into your terminal. It downloads exactly the version we scanned, not whatever is newest.

if [ -e ~/.agents/skills/'experiment-bridge' ] || [ -L ~/.agents/skills/'experiment-bridge' ]; then echo 'A skill folder named experiment-bridge already exists — not replacing it' >&2; false; else d=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills' "$d" && git -C "$d" checkout --quiet '8684584e7d1127940f018157d2c579974fae8f79' -- 'skills/42-wanshuiyin-ARIS/skills/experiment-bridge' && mkdir -p ~/.agents/skills && cp -R "$d"/'skills/42-wanshuiyin-ARIS/skills/experiment-bridge' ~/.agents/skills/'experiment-bridge' && rm -rf "$d"; fi

Codex reads ~/.agents/skills directly. For Claude Code, Cursor, Copilot, Gemini CLI, Antigravity or OpenCode, also link it. For Claude Code: ln -s ~/.agents/skills/'experiment-bridge' ~/.claude/skills/'experiment-bridge' (other agents: ~/.cursor/skills, ~/.copilot/skills, ~/.gemini/skills, ~/.gemini/config/skills, ~/.config/opencode/skills). Or install through the finder skill, which does both.

Badge for your README

The badge for brycewang-stanford/Auto-Empirical-Research-Skills shows the score of its lowest-scoring skill.

[![SkillTrust](https://zalavijaysinh.github.io/skilltrust/badges/brycewang-stanford/Auto-Empirical-Research-Skills.svg)](https://zalavijaysinh.github.io/skilltrust/repos/brycewang-stanford/Auto-Empirical-Research-Skills/)

Score history