cff-version: 1.2.0
title: "self-auditing-agent — Volume 1: a forensic audit, with the auditor's own mistakes included"
message: "If you cite this archive, cite the version you actually ran."
type: dataset
authors:
  - family-names: Yuan
    given-names: Simin
    alias: simin-yuan
repository-code: "https://github.com/simin-yuan/self-auditing-agent"
url: "https://github.com/simin-yuan/self-auditing-agent"
abstract: >-
  A public audit log of one AI agent performing real work: every conclusion, the
  command that produced it, the mistakes the agent made, and how a third party can
  reproduce the result. Volume 1 covers a 74-minute forensic audit of an unfamiliar
  11-repo, 1768-file technical system, including one adversarial finding, four bugs
  the agent found in its own work, one false positive, and one false discovery it
  caught itself. Two commands in repro/ reproduce the headline finding and prove the
  validation gate actually emits negative verdicts.
keywords:
  - ai-agent
  - audit
  - reproducibility
  - verification
  - evals
  - self-audit
license: MIT
version: 0.2.0
date-released: 2026-09-16