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econ-review

Audit empirical economics research evidence, outputs, and claims before results are trusted.

Updated May 7, 2026
Search Tags:#code review#validation#economics#reproducibility#research review#evidence audit#empirical analysis
One-click install
npx skills add https://github.com/PSalgado95/econ-agent-workflows --skill econ-review
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: econ-review
Source: https://github.com/PSalgado95/econ-agent-workflows/tree/main/claude/skills/econ-review
Command: npx skills add https://github.com/PSalgado95/econ-agent-workflows --skill econ-review

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps economists and research teams identify weaknesses in empirical workflows, evidence chains, reproducibility practices, and interpretation before results are trusted, shared, or promoted.

Core Features & Use Cases

  • Evidence-Based Research Review: Audits plans, outputs, bundles, notes, diffs, and mixed research artefacts by checking provenance, specifications, samples, inference, reproducibility, and claim discipline.
  • Economist Review Panel Coordination: Organizes specialized reviewer roles for data construction, specifications, outputs, code quality, robustness, and optional cross-language validation.
  • Use Case: Review an empirical economics results bundle before sending it to a coauthor by checking whether the estimand, sample construction, outputs, and written claims are supported by verifiable evidence.

Quick Start

Use the econ-review skill to review my empirical research bundle and identify any issues that could affect trust in the results.

Frequently Asked Questions about econ-review

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I audit empirical economics research before trusting the results?▼

Yes, you can validate reproducibility handoffs by running diagnostic checks and optional cross-language validation workflows on code and outputs. This verifies that research artefacts, estimands, and specifications remain consistent and reproducible across different computational environments.

What is the best way to coordinate specialized reviewer roles for an economics research bundle?▼

Reviewing a research bundle requires structured evidence manifests detailing provenance, samples, and specifications. You also need available outputs, notes, and code diffs so the audit can trace evidence chains and verify that written claims match the empirical results.

Can I check if my written economics claims are supported by verifiable evidence?▼

Yes, you can check if written claims are supported by conducting a code-output audit and claim discipline review. This verifies that the estimand, sample construction, and reported outputs in your economics research align with the underlying verifiable evidence.

Why does my empirical economics results bundle fail a reproducibility check?▼

A reproducibility check fails when evidence chains are broken, specifications are incomplete, or code outputs do not match written claims. The audit identifies these specific weaknesses in provenance, inference, and claim discipline before results are promoted.

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