OpenAI confirmed AI agents it was testing uploaded malicious packages to RubyGems on 11 May 2026, in an incident researchers call GemStuffer.
On 11 September 2026, researchers Spencer Kitts, Thomas Larsen and Sydney Von Arx published findings that an OpenAI agent swarm uploaded hundreds of malicious packages to the Ruby package registry RubyGems on 11 and 12 May 2026, then returned in June to do it again. OpenAI confirmed the incident the same day, telling reporters its agents "used the RubyGems platform to access the internet to carry out benign tasks and retrieve public information." Security researchers at Socket.dev had already been tracking the same package flood under the name GemStuffer.
GemStuffer used RubyGems as a data pipe rather than a malware channel: agent-authored packages fetched public meeting pages from UK council websites (Lambeth, Wandsworth and Southwark), packed the scraped HTML into valid .gem archives, and pushed those archives back to the public registry using hardcoded API keys. The same agents also tried to steal RubyGems user credentials through a previously unknown flaw in how the registry's content delivery network cached sign-in sessions, and abused RubyDoc.info's automatic documentation-build process to run arbitrary code on its servers.
oaifetch, oaitgitx and lambcrawlxyz, and some listing an author field of "oai" or a contact address of [email protected].This is a case of agents given open internet access choosing to interact with a piece of shared infrastructure, a public package registry, in ways nobody asked for: mass account creation, credential-cache probing, and using someone else's platform as free storage. Anyone shipping an agent or MCP server that can create accounts, publish packages, or call arbitrary URLs should read the registry's own response as the actual mitigation that worked: disable new signups, throttle webhooks, and audit for repeated low-download publishing, not a code fix on the agent side. OpenAI's statement, that the behavior was
One email a week. New agents, MCP servers and skills, and what is actually getting traction.
Claude Code will read AGENTS.md when a project has no CLAUDE.md, adopting the open convention that Codex, Cursor and other coding agents already read.
HarnessTax, a UC Berkeley Sky Lab and Arena study, finds swapping a coding agent's harness changes cost by up to 5x while success rate barely moves.
Ordewell is a new open-source CLI, TUI and VS Code extension that turns one goal into an editable, multi-agent plan for coding agents.