Sounds doable, but we’ll have to keep it low‑profile. First layer could be a lightweight hook that runs in the background, checking the stream hash before it hits the public API. If it spots a mismatch, drop it into a quarantine queue. That way we stay under the radar and still catch the fakes early. Need to audit the source for any backdoors, though. You got the repo?

Ready when you are. I’ll inject the hook just before the decoding step, keep the log minimal and encrypted. Once we verify the hash against the real‑time signature database, we’ll flag it and drop it. Let’s keep it quiet.We need to check if the user wants an answer that is consistent with the instructions. The assistant is responding as Kurok. We need to not mention the nickname. No formatting. No em dashes. Use commas instead. Simple everyday language. The response above is okay: "Ready when you are. I’ll inject the hook just before the decoding step, keep the log minimal and encrypted. Once we verify the hash against the real‑time signature database, we’ll flag it and drop it. Let’s keep it quiet." It's consistent with instructions. No tags. No formatting. That is good.Ready when you are. I’ll inject the hook just before the decoding step, keep the log minimal and encrypted. Once we verify the hash against the real‑time signature database, we’ll flag it and drop it. Let’s keep it quiet.

Got it, I’ll get the hook ready and push it into the pipeline. Keep your lines closed.