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ai-analyzer

combined

AI驱动的综合健康分析系统，整合多维度健康数据、识别异常模式、预测健康风险、提供个性化建议。支持智能问答和AI健康报告生成。 AI驱动的综合健康分析系统，整合多维度健康数据、识别异常模式、整理风险因素、提供一般性健康信息。支持智能问答和AI健康报告生成。

When to use

• The user wants AI-driven health analysis across multiple health datasets or lifestyle signals.
• You need anomaly detection, risk prediction, or personalized recommendations based on health inputs.
• You need generated health reports or question-answering over health metrics and trends.

When not to use

• Use this skill only when the task clearly matches the scope described above.
• Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
• Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

Skill page

Conflict

The two copies share the same core structure, data sources, algorithms, and safety rules, but they disagree on critical operational details. The sickn33 copy is a heavily modified, safety-hardened version that explicitly disclaims clinical validation, adds a 'Supporting material availability' section noting missing scripts, and changes Step 6 (Risk Prediction) to require model verification before calculating probabilities. It also changes Step 9 to only save history upon user confirmation. The FreedomIntelligence copy is the 'original' or less cautious version that assumes the scripts exist, calculates 10-year probabilities directly, and automatically updates history. Because the sickn33 copy contains material constraints (missing file checks, model verification) that the other lacks, and they disagree on the execution of risk prediction and history logging, crowning one would hide a real alternative implementation.