hallucination-audit-trail

Cross-check agent self-reported actions against filesystem evidence within a time window.

4|1|Updated Apr 11, 2026
One-click install
npx skills add https://github.com/m2ai-portfolio/m2ai-skills-pack --skill hallucination-audit-trail
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: hallucination-audit-trail
Source: https://github.com/m2ai-portfolio/m2ai-skills-pack/tree/main/skills/hallucination-audit-trail
Command: npx skills add https://github.com/m2ai-portfolio/m2ai-skills-pack --skill hallucination-audit-trail

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Hallucination Audit Trail Validator helps ensure agent self-reported processing logs match actual filesystem evidence, preventing fabricated audit trails from propagating downstream.

Core Features & Use Cases

  • Audits agent logs against file modifications and existence to detect discrepancies.
  • Useful as a Judge step in multi-agent pipelines to validate claims before downstream actions.
  • Real-world scenario: verify that claimed file processing occurred by cross-referencing timestamps and file sizes.

Quick Start

Compare the agent's processing log to actual filesystem evidence within the run window to confirm authenticity.

Frequently Asked Questions about hallucination-audit-trail

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

FAQPage Schema
How do I verify agent logs against filesystem evidence?

To verify agent logs, cross-check self-reported actions against filesystem evidence like file existence and timestamps. Specify a start and end time window to bound the checks, and the validator reports discrepancies where claimed file processing did not actually occur.

What is log hallucination in agent-driven data pipelines?

Log hallucination in agent-driven pipelines occurs when agents fabricate self-reported processing logs that do not match actual filesystem evidence. This creates false audit trails that propagate downstream, causing ETL jobs to rely on logs that misrepresent real file modifications.

How do I audit ETL job logs for fabricated file processing claims?

Audit ETL job logs by comparing the agent's processing log to actual filesystem evidence within the run window. Confirm authenticity by verifying the existence and timestamps of targeted files to detect discrepancies and prevent fabricated audit trails from propagating downstream.

Does the audit trail validator work as a judge step in multi-agent pipelines?

Yes, the audit trail validator works as a judge step in multi-agent pipelines to validate claims before downstream actions. It cross-references timestamps and file sizes to ensure claimed file processing occurred before allowing dependent pipeline steps to proceed.

What do I need to bound filesystem verification checks for agent logs?

You need a start and end time window to bound filesystem verification checks for agent logs. The validator applies these time bounds to verify the existence and timestamps of targeted files, reporting any discrepancies found outside the expected run window.