| 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 | |