review
All quality reviews — routes to appropriate critics based on target file type and flags. Replaces /paper-excellence, /proofread, /econometrics-check, /review-r, /review-paper.
Profile →npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill review --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.
# Review Unified review command that routes to the appropriate critic agents based on the target and flags. **Input:** `$ARGUMENTS` — file path and/or flags. --- ## Routing Logic ### Auto-detect by file type - `.tex` paper file → **Comprehensive review** (writer-critic + strategist-critic + Verifier) - `.R`, `.py`, `.do`, `.jl` file → **Code review** (coder-critic standalone, categories 4-12) - `.
What does the review skill do?
All quality reviews — routes to appropriate critics based on target file type and flags. Replaces /paper-excellence, /proofread, /econometrics-check, /review-r, /review-paper.
How do I install it?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill review --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.