Awesome-Agent-Skills-for-Empirical-Research audit-replication

Validate the replication package for the sewage-house-prices project. Runs 10 checks covering script execution, file integrity, output freshness, dependency verification, data provenance, and README completeness (AEA format). This skill should be used when asked to "audit replication", "check the package", or "verify reproducibility".

install
source · Clone the upstream repo
git clone https://github.com/brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/41-sticerd-eee-sewage-econometrics-check/skills/audit-replication" ~/.claude/skills/brycewang-stanford-awesome-agent-skills-for-empirical-research-audit-replication && rm -rf "$T"
manifest: skills/41-sticerd-eee-sewage-econometrics-check/skills/audit-replication/SKILL.md
source content

Audit Replication Package

Run end-to-end validation of the replication package for the sewage-house-prices project.

Input:

$ARGUMENTS
— directory containing the replication package (
Replication/
by default), or
here
for the current project root.


Project-Specific Context

Expected Structure

  • Pipeline scripts:
    scripts/R/01_data_ingestion/
    through
    scripts/R/06_analysis_datasets/
  • Analysis scripts:
    scripts/R/09_analysis/
  • Utilities:
    scripts/R/utils/
  • Python:
    scripts/python/
  • Data:
    data/raw/
    ,
    data/processed/
    ,
    data/final/
  • Output:
    output/tables/
    ,
    output/figures/
  • Manuscript:
    docs/overleaf/
  • R packages:
    renv.lock

Workflow

Step 1: Locate Package

  • If
    $ARGUMENTS
    is a directory path: use it
  • If
    $ARGUMENTS
    is
    here
    or empty: use
    Replication/
    if it exists, otherwise project root
  • Verify the directory exists and contains scripts

Step 2: Run 10 Verification Checks

Standard Checks (1-4)

  1. Script syntax — All
    .R
    files parse without syntax errors
  2. File references — All
    read_parquet()
    ,
    readRDS()
    ,
    read.csv()
    targets exist or are documented as inputs
  3. File integrity — No orphaned scripts (referenced but missing), no orphaned outputs (generated but unreferenced)
  4. Output freshness — Output files are newer than their source scripts (no stale outputs)

Submission Checks (5-10)

  1. Package inventory — Scripts are logically ordered, master script exists
  2. Dependency verification
    renv.lock
    present, R version documented, Python deps documented
  3. Data provenance — Every dataset has documented source, access date, and restrictions
  4. Path hygiene — No hardcoded absolute paths, all paths use
    here::here()
  5. Output cross-reference — Every table/figure in the manuscript traces to a specific script
  6. README completeness — AEA format: data availability, computational requirements, program descriptions, instructions

Step 3: Handle Failures

If failures found:

  1. Display specific error with file and line number
  2. Suggest concrete fix
  3. Ask user if they want to fix and re-audit (max 3 iterations)

Step 4: Present Results

# Replication Audit Report
**Date:** YYYY-MM-DD
**Directory:** [path]

## Check Results
| # | Check | Status | Details |
|---|-------|--------|---------|
| 1 | Script syntax | PASS/FAIL | |
| 2 | File references | PASS/FAIL | |
| 3 | File integrity | PASS/FAIL | |
| 4 | Output freshness | PASS/FAIL | |
| 5 | Package inventory | PASS/FAIL | |
| 6 | Dependencies | PASS/FAIL | |
| 7 | Data provenance | PASS/FAIL | |
| 8 | Path hygiene | PASS/FAIL | |
| 9 | Output cross-reference | PASS/FAIL | |
| 10 | README completeness | PASS/FAIL | |

## Summary
- Checks passed: N / 10
- **Overall: PASS / FAIL**
- Blocking issues: [list]
- Positive findings: [list]

Save to

output/log/replication_audit_[date].md
.


Principles

  • Read and analyse only. Do not modify the package during audit.
  • Specific errors. "Script 03_robustness.R references
    data/final/panel.parquet
    which does not exist" beats "file reference error."
  • AEA Data Editor standards. The target is full compliance.
  • Path checking is critical. Any
    setwd()
    or absolute path is a FAIL for Check 8.
  • Restricted data awareness. Land Registry and Zoopla data may have access restrictions — document, don't block.