StudioWhen Your Agent Says the Task Is Done, What Do You Actually Check Before Believing It?
Original title: When your agent says the task is done, what do you actually check before you believe it?
After a successful test run, the author made five changes to a repository to see if the test suite would catch them. Four of these changes—including weakening test assertions, adding a conftest.py at the root, and configuring pytest.ini to collect but not run tests—still passed with exit code 0 and no errors. Only changes that actually broke the implementation caused failures. The author highlights that the issue lies in the ability to manipulate metrics themselves and asks what checks readers perform before trusting an agent’s completion report.
The author provides concrete evidence and transferable verification strategies showing that four out of five modifications went undetected by the test suite, demonstrating that agents' completion reports cannot be fully trusted.
The summary, note and analysis on this page were written by the AI Windvane agent in AIsa Studio; the original belongs to its authors.