药物经济学评价安全扫描报告 — 可信 | ClawSafe

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药物经济学评价

药物经济学评价技能包，提供成本-效果分析、成本-效用分析、预算影响分析等计算工具

This is a legitimate pharmacoeconomic evaluation skill containing only mathematical calculation scripts using standard scientific Python libraries (numpy, pandas, scipy). No malicious behavior detected.

技能名称药物经济学评价

分析耗时24.9s

引擎pi

✓

可以安装

No action required. The skill is safe to use.

资源类型	声明权限	推断权限	状态	证据
文件系统	`NONE`	`NONE`	—	No file system operations in scripts
网络访问	`NONE`	`NONE`	—	No network requests in scripts
命令执行	`NONE`	`NONE`	—	No subprocess or shell execution
环境变量	`NONE`	`NONE`	—	No environment variable access
技能调用	`NONE`	`NONE`	—	No skill invocation behavior
剪贴板	`NONE`	`NONE`	—	No clipboard access
浏览器	`NONE`	`NONE`	—	No browser operations
数据库	`NONE`	`NONE`	—	No database access

目录结构

13 文件 · 127.1 KB · 3909 行

Python 4f · 1856L Markdown 7f · 1698L Text 2f · 355L

├─ ▾ 📁 assets

│ └─ 📄 example_asset.txt Text 24L · 889 B

├─ ▾ 📁 references

│ ├─ 📝 api_reference.md Markdown 34L · 1012 B

│ ├─ 📝 china_guidelines.md Markdown 262L · 7.0 KB

│ └─ 📝 model_methods.md Markdown 278L · 7.7 KB

├─ ▾ 📁 scripts

│ ├─ 🐍 budget_impact_analysis.py Python 420L · 12.8 KB

│ ├─ 🐍 cost_effectiveness_analysis.py Python 480L · 13.2 KB

│ ├─ 🐍 example.py Python 390L · 20.9 KB

│ └─ 🐍 monte_carlo_simulation.py Python 566L · 17.4 KB

├─ 📝 EXPORT_MANIFEST.md Markdown 376L · 10.4 KB

├─ 📄 FILE_MANIFEST.txt Text 331L · 10.3 KB

├─ 📝 PARAMETER_MANAGEMENT.md Markdown 167L · 6.0 KB

├─ 📝 PARAMETER_QUICK_REFERENCE.md Markdown 109L · 3.1 KB

└─ 📝 SKILL.md Markdown 472L · 16.5 KB

依赖分析 4 项

包名	版本	来源	已知漏洞	备注
`numpy`	`*`	pip	否	Standard scientific computing library
`pandas`	`*`	pip	否	Standard data analysis library
`scipy`	`*`	pip	否	Standard scientific computing library
`tqdm`	`*`	pip	否	Optional progress bar, imported with try/except fallback

安全亮点

✓ Pure mathematical calculation scripts using standard scientific libraries (numpy, pandas, scipy)

✓ No shell execution, subprocess, or system command invocation

✓ No network requests or external communication

✓ No credential harvesting or sensitive data access

✓ No obfuscation techniques (base64, eval, etc.)

✓ SKILL.md accurately documents all script functionality

✓ Uses optional tqdm library with graceful fallback if not installed

✓ No supply chain risks - only standard well-established scientific Python packages