Execute research implementation plans efficiently while maintaining estimation quality and finishing features
692e9faWork Plan Execution Command Pipeline mode: This command operates fully autonomously. All decisions are made automatically. Execute a research implementation plan systematically. The focus is on shipping complete, reproducible research code by understanding requirements quickly, following existing patterns, and maintaining estimation quality throughout. Input Document <input document $ARGUMENTS </input document If no input document is provided: Look for the most recent plan in and use it. If no…
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/workflows-work · 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/11-James-Traina-compound-science/skills/workflows-work" ".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/11-James-Traina-compound-science/skills/workflows-work" ".claude/skills/"
rm -rf .skillboard-tmpDestination: .claude/skills/workflows-work
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.
Declares shell/exec-level tools that grant wide host access.
Evidence: Bash· fingerprint d1e9567da9a8a4b0