aejpol-referee-strategy — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited aejpol-referee-strategy (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
AEJ: Policy reviews are single-blind through the AEA system (referees see the authors; authors do not see referees), refereed by economists who expect both credible causal evidence and a policy-relevant welfare reading. A referee typically tests four things in order; a paper dies at the first one it fails:
aejpol-topic-selection test) — a clean estimate with no policy lever or welfare reading invites a "better suited to a field journal / AEJ: Applied" rejection.aejpol-identification test) — staggered TWFE, asserted parallel trends, a weak instrument, or an over-generalized RDD are the usual kill shots.aejpol-theory-model test) — a hand-waved "this is welfare-improving" or a sufficient-statistic formula whose assumptions are violated.aejpol-robustness / aejpol-replication-package tests).| Likely referee objection | Pre-emption to build before submitting |
|---|---|
| "This isn't a policy paper / not broad-interest" | Lead with the policy question + welfare stake; state the cost-benefit reading in the abstract |
| "Staggered TWFE is biased here" | Heterogeneity-robust DID + Bacon decomposition + flat leads, in the main paper |
| "Parallel trends is assumed, not shown" | Event-study leads + honest-DID bounds |
| "Exclusion restriction is not credible" | Institutional + theoretical defense + falsification |
| "The welfare claim is hand-waved" | Explicit sufficient-statistic / MVPF / cost-benefit derivation |
| "External validity is unclear" | Heterogeneity by setting; explicit scope of the policy lesson |
| "Effect is significant but tiny / not policy-relevant" | Benchmark the magnitude against budget / status quo |
| "Not reproducible / data unavailable" | AEA-compliant package + restricted-data access path ready |
An education-policy paper using a funding-formula RDD anticipates three objections: (1) "local estimate only" → states the estimand and argues the threshold population is the marginal policy population; (2) "manipulation at the cutoff" → CJM density test + donut RDD; (3) "no welfare reading" → translates the test-score effect into a cost-per-standard-deviation and compares to class-size policies. All three answers are in the main text, so no referee can raise them as fatal.
【Broad-interest verdict】would a referee call this a policy paper? [Y/N + fix]
【Top identification objection】+ main-text pre-emption
【Welfare-reading objection】derived or hand-waved? + fix
【Objection→answer map】[objection → exhibit/paragraph]
【Fix vs. disclose list】what to fix now / what to bound and disclose
【Next step】aejpol-submission (if ready) or back to the named skill~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.