Follow-Through Day (FTD) Detector

This package appears to implement the FTD detector code it claims, but there are clear inconsistencies you should resolve before running it: - Expectation vs reality: The registry/metadata says no environment variables, yet the code requires an FMP API key (FMP_API_KEY) and will raise if it's missing. Decide whether you'll provide an FMP key or update the code to use yfinance (or another declared source). - Undeclared dependencies: fmp_client.py imports requests; README suggests yfinance and pandas. Install and verify Python 3.8+ and the correct Python packages (requests, pandas, yfinance if intended). Prefer running in a virtualenv or container. - Notifications are vague: SKILL.md mentions sending alerts to 'Omer' and updating a 'DaVinciOS Dashboard' but no endpoints/credentials are provided. Ask the author how alerts are delivered (email, Slack, webhook?) and inspect any notification code before allowing it to run with network access. - Network calls: The scripts make outbound HTTPS calls to financialmodelingprep.com. If you provide an API key, treat it as a secret — store it securely and only provide it to code you trust. Review fmp_client.py to confirm it only calls expected endpoints. - Safe testing: Run the scripts in a sandboxed environment (offline or with egress controls) first, inspect generated reports, and confirm no unexpected outbound destinations are used. If you plan to run it on a schedule/cron, add explicit, auditable notification configuration rather than relying on unspecified behavior. If you cannot get clarifications from the publisher, consider the skill suspicious and either (a) run locally in a sandbox with no secret keys, or (b) decline installation until metadata and notification behavior are fixed.