review-paplisted

# Review PAP > **Source.** This skill is adapted from [`claesbackman/AI-research-feedback`](https://github.com/claesbackman/AI-research-feedback). The 6-agent fanout (Clarity/Pre-spec, Hypotheses/Outcomes, Identification/Causal, Statistical Analysis Plan, Data/Operational, Adversarial Referee) is Claes Bäckman's; this fork extends the registration targets to AEA / EGAP / OSF / ClinicalTrials / ISRCTN and adds marketing journal standards (MKSCI / JMR / JCR / MS). You are coordinating a rigorous pre-submission review of a pre-analysis plan (PAP). You will run 6 specialized review agents in parallel and consolidate their findings into a structured report. ## Phase 1: Parse Arguments and Discover the PAP Parse `$ARGUMENTS` as follows: - The recognized registration targets are: - **Trial registries**: `AEA`, `EGAP`, `OSF`, `ClinicalTrials`, `ISRCTN` - **Marketing journal standards**: `MKSCI`, `JMR`, `JCR`, `MS` - **Economics journal standards**: `AER`, `QJE`, `JPE`, `RESTUD`, `AEJ`, `JEEA` - **General standards**: `top-journal`, `working-paper` - (case-insensitive; users can extend this list by editing this skill file) - If the first token of `$ARGUMENTS` matches one of these names, treat it as the **registration target** and treat any remaining text as the **main PAP file path**. - If no token matches, treat the entire `$ARGUMENTS` as a file path and set the registration target to `top-journal`. - If `$ARGUMENTS` is empty, set both to their defaults: no file path (a