Install
$ agentstack add skill-brycewang-stanford-awesome-journal-skills-aeja-referee-strategy ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
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Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Referee Strategy (aeja-referee-strategy)
When to trigger
- The paper is near submission and you want to stress-test it against the referees it will draw
- You need to decide which robustness checks to run before submitting vs. hold in reserve
- An R&R arrived and you must map referee concerns to concrete responses
- You want to understand how AEJ: Applied's single-blind peer-review process shapes strategy
How AEJ: Applied review works (plan around it)
AEJ: Applied uses single-blind review through the AEA ScholarOne system: author identities are visible to referees, while referee identities remain anonymous to authors. An editor assigns the paper to a coeditor or handles it directly, and before a first R&R the handling coeditor consults a second coeditor. Referees here are identification-literate applied microeconomists; the modal report attacks the credibility of the design first, then magnitude/mechanism, then external validity. The editor weighs whether the contribution is novel and the design clears the bar. Plan to pre-empt the predictable objections in the paper itself, leaving the response letter for genuinely new asks.
The objection map (pre-empt in the paper)
| Referee objection (by design) | Pre-emption to build in now | |-------------------------------|-----------------------------| | "TWFE is biased under staggered timing" | heterogeneity-robust estimator + Bacon decomposition already in the paper | | "Parallel trends is not credible" | clean pre-trend leads + honest-DID sensitivity bound | | "Instrument is not excludable" | institutional + theoretical exclusion argument + falsification tests | | "RD jump is manipulation / bandwidth-driven" | density test + bandwidth sensitivity + donut | | "Effect is just selection / confounding" | Oster δ / coefficient-stability bounds | | "Local/ITT effect ≠ the policy-relevant effect" | explicit estimand + calibrated external-validity discussion | | "Inference too narrow (few clusters)" | wild-cluster bootstrap / randomization inference | | "Mechanism is a black box" | a test that distinguishes the proposed channel from rivals | | "Not reproducible" | the openICPSR package built and referenced (aeja-replication-package) |
Strategy craft
- War-game the design. For each identifying assumption, write the sentence a hostile referee would use; if you cannot answer it in one paragraph + one exhibit, that is a hole to fix before submission.
- Pre-empt, do not hide. Address the obvious weakness head-on in the text; referees punish papers that ignore the elephant.
- Sequence robustness. Put decisive checks in the main paper; hold secondary ones for the appendix/online appendix so the paper stays readable.
- Anticipate the external-validity ask. It is almost guaranteed for a local design — have the estimand and scope statement ready.
- Make reproducibility visible. A referee who sees a clean package is less inclined to suspect specification search.
> The shared, venue-neutral objection catalog is in [../../resources/README.md](../../resources/README.md) (links to the empirical-methods hub) — walk it before drafting.
Checklist
- [ ] Title/byline/front matter align with AEJ: Applied's single-blind process
- [ ] Each identifying assumption has a written hostile-referee sentence and a one-paragraph+one-exhibit answer
- [ ] The paper's biggest weakness is addressed in the text, not hidden
- [ ] Decisive robustness in the main paper; secondary checks in the appendix
- [ ] Estimand + external-validity scope stated to pre-empt the guaranteed ask
- [ ] Reproducibility package referenced so specification-search suspicion is defused
- [ ] Mechanism evidence distinguishes the proposed channel from rivals
Anti-patterns
- Ignoring the obvious design weakness and hoping no referee notices
- Writing self-citations or acknowledgments as if the venue required anonymous review
- Dumping every robustness check into the main text so the paper becomes unreadable
- No estimand statement, guaranteeing an external-validity round-trip
- Treating the replication package as someone else's problem until acceptance
Output format
【Front matter】single-blind title/byline and disclosures ready? [Y/N]
【Objection map】per assumption: [objection → pre-emption in paper]
【Biggest weakness】addressed in text? [Y/N] — how: ___
【Robustness placement】main vs appendix split: ___
【External validity】estimand + scope stated? [Y/N]
【Reproducibility visible】package referenced? [Y/N]
【Next step】aeja-submission
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: brycewang-stanford
- Source: brycewang-stanford/Awesome-Journal-Skills
- License: MIT
- Homepage: https://www.copaper.ai
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.