skillboardUpdated every 6 hours
skillboardRun multi-agent econometric review on estimation code, identification arguments, and research artifacts
Review Command Pipeline mode: This command operates fully autonomously. All decisions are made automatically. Perform exhaustive econometric and methodological review using multi agent parallel analysis. Domain specific reviewers check estimation quality, identification strategy, numerical stability, and mathematical rigor. Input <review target $ARGUMENTS </review target Execution Workflow Phase 1: Scope Detection 0. Eligibility Check Before launching review agents, verify there is something to…
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-review · 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-review" ".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-review" ".claude/skills/"
rm -rf .skillboard-tmpDestination: .claude/skills/workflows-review
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