review-paper-light
Run a fast 2-agent pre-submission check for an economics paper — focuses on contribution, identification, and causal overclaiming. Completes in ~1 minute.
Profile →npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill review-paper-light --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
You are coordinating a fast pre-submission check of an economics paper. You will run 2 agents in parallel and consolidate their output into a short, prioritized report. ## Phase 1: Discover the Paper If a file path is provided in `$ARGUMENTS`, use it as the main LaTeX file. Otherwise, auto-detect: 1. Use Glob with pattern `**/*.tex` to list all .tex files (exclude `_minted-*`, `build/`, `output/`)
What does the review-paper-light skill do?
Run a fast 2-agent pre-submission check for an economics paper — focuses on contribution, identification, and causal overclaiming. Completes in ~1 minute.
How do I install it?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill review-paper-light --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From brycewang-stanford/Auto-Empirical-Research-Skills, a repository with 3,244 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.