This GitHub repo provides a coding-agent skill that runs automated security audits in six phases—recon, hunting, validation, reporting, structured output, and independent verification—to identify exploitable vulnerabilities. It uses parallel agents to generate and disprove findings, outputs structured JSON conforming to a schema, and independently verifies each claim against the source code. Each run reads prior findings to skip known issues and improve coverage.

This Dev newsletter covers American Express’s cell-based payment system for high availability, a persistent agent memory layer on Elasticsearch, and a large-scale malware campaign on GitHub. It also highlights AI agent security roadmaps, GDPR consent fines, compiler reproducibility fixes, and new autonomous agent frameworks.