Scan Report
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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.
Safe to install
No action required. The skill is safe to use.
| Resource | Declared | Inferred | Status | Evidence |
|---|---|---|---|---|
| Filesystem | NONE | NONE | — | No file system operations in scripts |
| Network | NONE | NONE | — | No network requests in scripts |
| Shell | NONE | NONE | — | No subprocess or shell execution |
| Environment | NONE | NONE | — | No environment variable access |
| Skill Invoke | NONE | NONE | — | No skill invocation behavior |
| Clipboard | NONE | NONE | — | No clipboard access |
| Browser | NONE | NONE | — | No browser operations |
| Database | NONE | NONE | — | No database access |
File Tree
13 files · 127.1 KB · 3909 lines Python 4f · 1856L
Markdown 7f · 1698L
Text 2f · 355L
├─
▾
assets
│ └─
example_asset.txt
Text
├─
▾
references
│ ├─
api_reference.md
Markdown
│ ├─
china_guidelines.md
Markdown
│ └─
model_methods.md
Markdown
├─
▾
scripts
│ ├─
budget_impact_analysis.py
Python
│ ├─
cost_effectiveness_analysis.py
Python
│ ├─
example.py
Python
│ └─
monte_carlo_simulation.py
Python
├─
EXPORT_MANIFEST.md
Markdown
├─
FILE_MANIFEST.txt
Text
├─
PARAMETER_MANAGEMENT.md
Markdown
├─
PARAMETER_QUICK_REFERENCE.md
Markdown
└─
SKILL.md
Markdown
Dependencies 4 items
| Package | Version | Source | Known Vulns | Notes |
|---|---|---|---|---|
numpy | * | pip | No | Standard scientific computing library |
pandas | * | pip | No | Standard data analysis library |
scipy | * | pip | No | Standard scientific computing library |
tqdm | * | pip | No | Optional progress bar, imported with try/except fallback |
Security Positives
✓ 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