eursr-rebuttal — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited eursr-rebuttal (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.
An ESR R&R is the normal road to publication for a promising paper — and it usually asks for substantial revision. Reviewers focus on the comparative design, measurement equivalence, and the modeling (level, clustering, few-cluster inference), so the response letter must satisfy a quantitative skeptic without breaking the paper, while the editor adjudicates.
first; the editor adjudicates conflicts among reviewers.
skip one — silence reads as non-compliance.
text/table number), or push back respectfully with a reason (theory, design, or measurement). A well-argued disagreement beats a capitulation that weakens the paper.
df-aware SEs, a leave-one-country-out check, or an alternative harmonization should be run and reported honestly — these are ESR's core review currency.
dilute the portable mechanism or the comparative leverage that earned the R&R.
replication package** so any new tables/figures stay reproducible (see eursr-transparency-and-data).
For each reviewer comment:
> [Quoted reviewer comment]
Response: [What we did / why we respectfully disagree].
Change: [Section/page/table-figure number where the revision appears].Open with a short summary of the main changes to the editor; group by reviewer; end each entry with the location of the change so the editor can verify quickly.
| Comment type | Default response |
|---|---|
| Editor's decisive point | do it; never argue these away |
| Modeling/measurement check you can run (invariance, df SEs, LOO) | run it; report honestly even if mixed |
| "Add more countries / waves" | add if feasible; if not, justify the set and bound the claim |
| Request that dilutes the mechanism or comparative leverage | rebut respectfully with a reason |
A comparative attitudes paper gets an R&R where R1 doubts measurement equivalence and R2 thinks the macro effect rests on too few clusters.
R1: "Are the attitude scales comparable across countries?"
Response: Added configural/metric/scalar invariance tests (Appendix Table A3); scalar fails for 3
countries → re-estimated with partial scalar invariance; substantive conclusion unchanged. Change: §4.2.
R2: "24 countries can't support that macro claim."
Response: Re-ran macro inference with a wild cluster bootstrap and a Bayesian two-level model
(Table 5); interaction CI widens but excludes zero; macro claim tempered. Change: §5.1, Appendix B.The letter concedes where evidence warrants, runs the modeling checks on their own terms, and protects the contribution by showing the cross-level result survives the stricter inference.
a thank-you.
what partial invariance licenses.
macro claim rather than defending the original SEs.
first converts an R&R.
review currency — running them honestly is more persuasive than arguing them away.
【Editor's decisive points】addressed first? [list]
【Coverage】every reviewer comment answered? [Y/N]
【Concede vs rebut】each tagged with evidence + change location
【Modeling/measurement checks】invariance / few-cluster / LOO run and reported? [Y/N]
【Contribution protected】no dilution of mechanism / comparative leverage? [Y/N]
【Anonymity + DAS/package updated】[Y/N]
【Next】resubmit via ScholarOne../../resources/external_tools.md — invariance, few-cluster, and Bayesian multilevel tooling../../resources/official-source-map.md — ESR review model and ethics~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.