experiment-forensics

Audit experimental results against an evidence ledger using cross-model code auditing.

123|7|Updated Jun 26, 2026
One-click install
npx skills add https://github.com/wanshuiyin/Anti-Autoresearch --skill experiment-forensics
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: experiment-forensics
Source: https://github.com/wanshuiyin/Anti-Autoresearch/tree/main/skills/experiment-forensics
Command: npx skills add https://github.com/wanshuiyin/Anti-Autoresearch --skill experiment-forensics

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill audits the integrity of experiments and their results against an evidence ledger, ensuring the accuracy and validity of reported findings.

Core Features & Use Cases

  • Experiment Integrity Audit: Checks for inconsistencies, discrepancies, and potential fabrications in experimental data.
  • Result Verification: Validates the reported results against the actual code and datasets used in the experiments.
  • Use Case: Ideal for researchers, reviewers, and researchers alike to verify the claims made in research papers and ensure reproducibility.

Quick Start

Run the 'experiment-forensics' skill on the research paper's directory.

Frequently Asked Questions about experiment-forensics

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

FAQPage Schema
How do I verify experiment integrity against an evidence ledger?

Result verification validates reported research findings against the actual code and datasets used in the experiments. It applies cross-model code auditing and deterministic adjudication to ensure accuracy and reproducibility of third-party submissions.

What do I need to provide to run an experiment integrity audit?

You need to provide access to the experimental code, the reported results, and the necessary ledger file. Full verification requires the presence of both the evidence ledger and the experimental artifacts within the research paper's directory.

How do I audit a research paper's directory for experimental reproducibility?

You audit a research paper's directory by running the experiment-forensics skill on it. The skill cross-checks the reported claims, code, and datasets against the evidence ledger to ensure the research is fully reproducible and valid.

Can I use this to detect fabricated experimental data in third-party submissions?

Yes, experiment integrity auditing is designed to check third-party submissions for potential fabrications. It cross-references the submitted code, results, and ledger files to detect inconsistencies and validate the accuracy of reported findings.

What happens if the ledger file is missing during a research audit?

If the ledger file is missing, the skill cannot perform full verification of the experimental results. Both the evidence ledger and the necessary experimental artifacts must be present to execute deterministic adjudication and detect discrepancies.