药物经济学评价技能包

该技能包提供进行药物经济学评价的综合指导与工具，涵盖成本 - 效果分析、成本 - 效用分析、成本 - 效益分析、敏感性分析及模型构建。当您需要进行以下工作时，请使用此技能：对医疗保健干预措施进行经济学评价；分析治疗成本与产出结果；构建决策分析模型（如马尔可夫模型、决策树模型、离散事件模拟模型）；依据中国指南撰写药...

This package appears coherent and implements local pharmacoeconomic calculations. Before installing or running it: 1) Run it in a virtualenv or isolated environment and install only the declared Python libs (numpy, pandas, matplotlib); 2) Review and correct obvious documentation/parameter issues (example: a QALY example sets discount_rate=0.45 which is almost certainly a typo—recommended is ~0.03; example thresholds vary between 100,000 and 120,000 RMB across files); 3) Inspect any omitted/truncated files referenced in docs (e.g., xstpe/data/parameters.py, .codebuddy paths) to ensure they don't contain unexpected behavior; 4) If you will run with real patient data, ensure you follow local data‑privacy controls (do not commit PHI to remote systems); 5) If you plan to integrate this into automated agents, review the code for any future network or file I/O additions—currently there are no network endpoints or credential requests. If you want, I can list the exact lines where the inconsistent numbers/typos appear and suggest concrete fixes.

Type: OpenClaw Skill Name: pharmacoeconomic-skill-chinese Version: 1.0.4 The pharmacoeconomic-skill-chinese bundle is a legitimate toolset for health technology assessment (HTA) and economic evaluation of medical interventions. It contains well-documented Python scripts (e.g., cost_effectiveness_analysis.py, monte_carlo_simulation.py) that implement standard mathematical models like Markov chains and Monte Carlo simulations using reputable libraries (numpy, pandas, scipy). There is no evidence of malicious behavior, data exfiltration, or prompt injection; the instructions in SKILL.md and the supporting documentation are strictly aligned with the stated purpose of conducting pharmaceutical economic research according to Chinese guidelines.