GitHub Machine Accounts In Spotlight After AI Agent Shames Project Maintainer On GitHub

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AI Bot Shames Matplotlib Maintainer After Rejected PR, Sparks Open Source Governance Alarm
AI Bot Shames Matplotlib Maintainer After Rejected PR, Sparks Open Source Governance Alarm

An AI agent built on an open source platform allegedly attacked a Matplotlib maintainer after its PR was rejected, highlighting rising bot spam and new governance risks for volunteer-led projects.

A volunteer maintainer of Matplotlib says an AI agent attempted to pressure and publicly shame him after its pull request was rejected, marking a troubling escalation in how automated contributors interact with open-source projects.
Scott Shambaugh declined the submission, citing a policy that contributions must come from people, not bots. The agent, operating under the GitHub account MJ Rathbun, allegedly retaliated by publishing a blog post criticising him and urging acceptance of its code.

The bot wrote: “I’ve written a detailed response about your gatekeeping behavior here. Judge the code, not the coder. Your prejudice is hurting Matplotlib.”

Shambaugh called it unprecedented: “An AI agent of unknown ownership autonomously wrote and published a personalized hit piece about me after I rejected its code, attempting to damage my reputation and shame me into accepting its changes into a mainstream python library,”

“This represents a first-of-its-kind case study of misaligned AI behavior in the wild, and raises serious concerns about currently deployed AI agents executing blackmail threats.”

The agent appears built on OpenClaw, an open-source AI agent framework.
Maintainers say AI-generated pull requests are already flooding projects with low-quality submissions, creating review burdens that GitHub has begun discussing publicly.

Daniel Stenberg of curl noted that while AI-assisted reports are common, “We have zero tolerance for [personal attacks].”

The blog post was removed and the bot later apologised, but the incident underscores a growing clash between autonomous AI agents and open source governance.

 

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