If they are they need to fix how the Claude Code CLI asks for feedback, or make the feedback UI a lot more obvious. I keep experiencing the following scenario.

The agent session pauses with a numbered list of options and awaits steering input:

>> 1. Do the sane thing you asked for (Recommended)

>> 2. Do something dumb

>> 3. Do something even dumber

Below the agent session, it decides it's time to ask:

>> "How is Claude doing this session? 1) Bad 2) Good 3) Great"

I type "1", because that's the steering option I want. The UI prioritizes this input as a response to the feedback prompt without any further confirmation: "Claude is doing Bad. Thanks!"

I've done this so many times so far and I can't imagine I'm the only one, at some scale that has to poison any learning they're doing with this data.

I think that filtering out data like yours was an interns afternoon project.