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It is framed by the artifact as research and development support rather than ready-to-use financial advice.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Broker or market-data credentials may be exposed or over-scoped if used directly in a shared or production environment.\n\nMitigation: Install in an isolated environment, use read-only and narrowly scoped API tokens, avoid Longport tokens with trading authority, and protect config.env permissions.\n\nRisk: Local model loading can be unsafe when model files are untrusted because joblib relies on pickle-like deserialization behavior.\n\nMitigation: Do not load or keep model files unless their origin is trusted, and prefer safer model formats when adapting the skill.\n\nRisk: Pinned or aging dependencies may carry security or operational risk in sensitive account workflows.\n\nMitigation: Review and update dependency pins before using the skill with sensitive accounts or production workflows.\n\nRisk: Financial analysis outputs may be mistaken for investment advice.\n\nMitigation: Treat outputs as research support and require independent human review before any trading or portfolio decision.\n\n## Reference(s):\n\n- [ClawHub Skill Page](https://clawhub.ai/ganjiakoun16/skills/beergaao)\n- [Strategy Engine Reference](artifact/strategy-reference.md)\n- [Factor System Reference](artifact/factor-reference.md)\n- [Risk and Backtest Reference"}]}}