rof-data-analysis

npx skills add brycewang-stanford/Awesome-Journal-Skills --skill rof-data-analysis --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

# Review of Finance Data Analysis Use this when the finance result is not yet credible enough for RoF. Reopen the current author guidelines and code-sharing policy before final submission. ## Audit - Map every finance claim to a table, figure, model result, identification test, or robustness check. - For empirical work, document sample construction, variable definitions, filters, winsorizing or trimming, identifiers, timing, and economic magnitudes. - For theory work, connect assumptions to equilibrium, comparative statics, or pricing implications that a broad finance audience can evaluate. - Use strong benchmarks: standard asset-pricing factors, corporate-finance controls, market microstructure alternatives, or banking/household-finance baselines as relevant. - Prepare code and data documentation early; RoF publication is conditional on receiving replication programs when the policy applies. ## Finance-result stress test For each headline result, record: ```text Result | Economic magnitude | Identification/model threat | Benchmark | Replication file ``` Then ask whether the claim would survive a top-three-finance referee: - Does the magnitude matter economically, not only statisti