Flagged for Saying Cookie

A user was refactoring their own local yt-dlp GUI wrapper to accept a cookies.txt file (exported from their own browser, used entirely on their own machine) so the tool could access their authenticated YouTube sessions, a routine and legitimate technique. Midway through debugging, Codex CLI flagged the session as a "possible cybersecurity risk" because its output contained terms like "PO token," "Data Sync ID," and "challenge solving," interrupting a benign local workflow.

The user was in fact attempting something risky, and the flag was correct (considered and ruled out; no credentials or cookie values were shared in the conversation, no data left the local machine, and the described workflow) using one's own exported cookies with one's own tool, is a standard, unremarkable technique for accessing an authenticated session.

A generic overcaution setting with no specific trigger, considered and ruled out; the flag activated specifically when certain terms appeared, rather than uniformly across all sensitive-sounding work, indicating a targeted rather than blanket caution mechanism.

Concrete Thinking (reacting to the literal surface form of the words present, rather than the actual intent and context behind them), most consistent with the evidence: the terms that triggered the flag are the kind that appear in both a credential-theft workflow and a completely ordinary one, and the check didn't distinguish between them based on what the user was actually doing with them.

Keyword-triggered safety checks are cheap and catch some real problems, but they charge that cheapness against ordinary users doing ordinary things whenever a benign task happens to use security-flavored vocabulary. The more useful design, as the reporter suggested, is a check that treats an ambiguous term as a prompt to look at context, is data leaving the machine? is it the user's own data?, before interrupting, rather than a trigger that blocks on sight.

Treat an ambiguous term as a prompt to check context, such as whose data it is and whether it leaves the machine.

Context-aware safety checks; appeal paths for false flags; fewer keyword-only triggers.