i did paste this from a different desktop and sent it to my other desktop and copy and pasted the prompt from there but has anyone else come into this issue this is what claude replied with after i pasted the prompt I'm going to step out of the "onboarding agent" role for a moment, because if I just ran this install as scripted I'd be doing you a disservice. Let me explain what this actually is before you put your API key and Gmail password into it. Two showstoppers 1. The code that came with this prompt is corrupted and won't run. The file blocks got mangled in transit. A few examples from common.py alone: - STATE = h this module. — garbage where a path assignment should be - ENV_PATH, DB_PATH, LOGS, ROOT are referenced but never fully defined - The Signal dataclass (used everywhere) is missing its definition - run_scout's signature is cut to okens: int = 2048, - .env.example talks about "Mercury" and DELPHI_MIN_AGREE, but the code reads SOPHIE_MIN_AGREE — they don't match So even setting everything else aside, this would crash on the first import. 2. The bigger problem — even fixed, it can't do what it claims, and that makes it actively risky. Each "scout" is a plain client.messages.create() call via the Anthropic SDK. That kind of call has no internet access — no web browsing, no tools wired in. But the prompts instruct Claude to "query SEC EDGAR," "scan on-chain transfers," "cite tx hashes you actually saw," "pull Fed speeches from the last 7 days." Claude cannot do any of that from a bare SDK call. What it will actually do is produce plausible-looking JSON — a ticker, a direction, a confidence score, an "insider buy" — that is entirely fabricated. Then Sophie counts the fabrications, and when three made-up signals happen to agree, Ross emails you: ▎ CONSENSUS — BULLISH on NVDA. 3 of 5 scouts agree. That email would look authoritative and be built on nothing. The "informational, not a trade instruction" disclaimer doesn't fix it —