AEJ-Economic-Policy-Skills — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited AEJ-Economic-Policy-Skills (Plugin) 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.
Aggregate score unchanged between these scans.
The primary manifest — the file an agent reads to learn what this artifact does.
<p align="center"> <img src="assets/cover.svg" alt="American Economic Journal: Economic Policy — Agent Skills cover" width="200"> </p>
English | 简体中文
Agent skill stack for manuscripts targeted at the American Economic Journal: Economic Policy (AEJ: Policy) — the American Economic Association's quarterly journal for the economic analysis OF policy. 12 skills span the full lifecycle from a policy-question-first topic through credible quasi-experimental identification, a welfare/cost-benefit reading, the AEA Data Editor reproducibility check, and the R&R rebuttal — shipping a runnable Stata + Python code library.
The through-line of every skill is policy relevance: topic selection and contribution framing foreground the policy question and its counterfactual / welfare implication; identification centers credible quasi-experimental and RCT policy evaluation; writing-style covers translating estimates into a clear policy takeaway without overclaiming.
It is not a generic applied-microeconomics toolbox. It is an AEJ: Policy-specific methodology stack.
Official basis checked 2026-06 against the AEA / AEJ: Policy pages (journal home, submission guidelines, AEA Data and Code Availability Policy, AEA Disclosure Policy). See resources/official-source-map.md. Volatile facts (submission fee, editors, exact format limits) are tagged (检索于 2026-06;以官网为准) and marked 待核实 where a primary fetch could not confirm them.
AEJ: Policy imposes constraints that differ materially from a field public-finance journal, the other AEJs, and the AER (rows marked [official] are verified against AEA sources):
| Constraint | AEJ: Economic Policy | Implication |
|---|---|---|
| Through-line | A policy question with a welfare / cost-benefit / distributional reading | A clean estimate with no policy "so what" is off-fit |
| Scope [official] | Economic analysis of policy (public econ, environment/energy, health, education, labor/welfare, regulation, dev/political economy) | Pure methods or no-policy applied micro is off-fit |
| Identification | Credible quasi-experimental / RCT evaluation of the policy | TWFE-on-staggered / OLS+controls draws fast pushback |
| Welfare reading | Estimate → MVPF / cost-benefit / incidence | "This is welfare-improving" asserted is not enough |
| Review [official] | Single-blind via the AEA submission system | Manuscript carries title, byline, and affiliations |
| Codes [official] | JEL codes + keywords required | Missing codes is a form error |
| Significance [official] | Standard errors / CIs, no asterisks (AEA house style) | *** is disallowed; report SEs |
| Data & code [official] | AEA Data and Code Availability Policy; AEA Data Editor check before publication; deposit at openICPSR | Build the replication package as you go |
| Restricted data [official] | ≥5-yr preservation, public code, documented sources; "upon request" not acceptable | Document a real access path |
Every fact above is verified and sourced in resources/official-source-map.md. Where the journal does not publish a hard limit (word/page counts), the tools treat numbers as "rules of thumb — defer to the current AEA guidelines," never as hard assertions./plugin marketplace add https://github.com/brycewang-stanford/awesome-journal-skills
/plugin install aej-economic-policy-skillsThen ask, e.g., "My estimate of a tax-credit expansion is clean but a referee says it has no policy point" — aejpol-workflow routes you to aejpol-theory-model (welfare reading) and aejpol-writing-style (the policy sentence).
Point your agent at this directory and invoke a skill by name (start with aejpol-workflow), or read the SKILL.md files directly under skills/.
aejpol-workflow (router)
│
├─ aejpol-topic-selection ........ lock the policy question + welfare stake
├─ aejpol-literature-positioning . stake the contribution as a policy answer
├─ aejpol-identification ......... credible quasi-experimental / RCT evaluation
├─ aejpol-theory-model .......... map the estimate to a welfare / cost-benefit object
├─ aejpol-robustness ............ defend the policy number against threats
├─ aejpol-tables-figures ........ exhibits (no asterisks) + a headline policy exhibit
├─ aejpol-writing-style ......... translate estimates into a policy takeaway (intro/abstract last)
├─ aejpol-replication-package ... AEA Data Editor / openICPSR deposit
├─ aejpol-referee-strategy ...... pre-empt the objections referees will raise
├─ aejpol-submission ............ AEA system preflight (front matter + JEL + disclosure)
└─ aejpol-rebuttal .............. response letter + revision plan after the R&R| Skill | Purpose |
|---|---|
aejpol-workflow | Router — decides which sub-skill to invoke next |
aejpol-topic-selection | Policy-question fit (vs. JPubE / AEJ:Applied / AER) + the welfare stake |
aejpol-literature-positioning | Stake the contribution as a sharper policy answer |
aejpol-identification | Credible quasi-experimental / RCT evaluation of the policy (DID / IV / RDD / RCT) |
aejpol-theory-model | Map estimates to a welfare / cost-benefit / distributional object (sufficient stats, MVPF) |
aejpol-robustness | Defend the headline policy number against specification, inference, and identification threats |
aejpol-tables-figures | AEA-style exhibits (no asterisks) + a self-contained headline policy exhibit |
aejpol-writing-style | Translate estimates into a clear policy takeaway without overclaiming |
aejpol-replication-package | AEA Data and Code Availability Policy / AEA Data Editor / openICPSR deposit |
aejpol-referee-strategy | Pre-empt the objections AEJ: Policy referees raise; calibrate expectations |
aejpol-submission | AEA system preflight: front matter, JEL codes, data statement, disclosure |
aejpol-rebuttal | Response-letter strategy and revision plan after an R&R |
resources/code/ — runnable Stata + Python causal-inference skeleton (vendored).resources/worked-examples/01-introduction.md —fictional before→after AEJ: Policy introduction.
resources/exemplars/library.md — real, web-verified AEJ: Policypapers by policy area (10.1257/pol… DOI verified).
resources/official-source-map.md — official AEA URLs behind everyfact.
resources/external_tools.md — data sources, software, welfare/cost-benefit tooling.
reviewer-objection-checklist · reporting-standards.
| AEJ: Economic Policy | AEJ: Applied Economics | J. Public Economics | AER | |
|---|---|---|---|---|
| Core ask | Broad-interest policy question + welfare reading | Identification-driven applied micro | Field public-finance contribution | First-order, general-interest result |
| Policy lever | Required (a real instrument) | Optional / incidental | Common but specialist | Optional |
| Welfare / cost-benefit reading | Expected (MVPF / incidence) | Not required | Often, but for specialists | Varies |
| Readership | Broad AEA policy audience | Applied-micro audience | Public-finance field | Top general-interest |
| Length | Field-leading policy paper | Applied-micro paper | Field paper | Longer, top-5 scale |
| Process | AEA single-blind, openICPSR Data Editor | AEA single-blind, openICPSR Data Editor | Elsevier, double-blind | AEA single-blind, openICPSR Data Editor |
Pick AEJ: Policy when the policy lesson is the headline and a broad AEA reader would care; pick AEJ: Applied when the natural experiment is the point; pick JPubE when the audience is the public-finance field; pick AER when the contribution is larger and longer.
AEA Data and Code Availability Policy
AEJ-Applied-Economics-Skills/, Quantitative-Economics-Skills/.MIT © 2026 Bryce Wang.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.