中文 EN

Scan Report

Scan New Files

✓ Trusted — Risk Score 5/100
Last scan:1 day ago Rescan
5 /100
Financial Analytics Pro
Premium financial analysis tool for business intelligence, financial statement analysis, ratio calculations, forecasting, and visualization
This is a legitimate financial analysis tool that performs standard CSV/Excel data analysis, ratio calculations, forecasting, and visualization with no malicious behavior detected.
Skill NameFinancial Analytics Pro
Duration35.1s
Enginepi
✓
Safe to install
No action required. The skill is safe to use as it contains only standard financial analysis code with no security risks.

Findings 1 items

Severity Finding Location
Low
Documentation exceeds implementation Doc Mismatch
SKILL.md describes banking API integrations (Plaid, Yodlee), e-commerce platform connectors, and accounting software that are not implemented in the actual code. This is likely incomplete development rather than malicious intent.
Bank API Connections: Connect to Plaid, Yodlee, or direct bank APIs
→ Complete the promised integrations or remove them from documentation
 SKILL.md:35
ResourceDeclaredInferredStatusEvidence
Filesystem READ READ ✓ Aligned Uses pandas to read CSV/Excel files
Network NONE NONE — No network requests in code
Shell NONE NONE — No subprocess or shell execution
Environment NONE NONE — No os.environ access for credential harvesting
Database NONE NONE — No database access

File Tree

4 files · 27.7 KB · 785 lines
Markdown 2f · 487L Python 1f · 286L CSV 1f · 12L
├─ ▾ 📁 examples
│ └─ 📄 sample_financials.csv CSV 12L · 836 B
├─ ▾ 📁 references
│ └─ 📝 financial_ratios_cheat_sheet.md Markdown 221L · 5.1 KB
├─ ▾ 📁 scripts
│ └─ 🐍 financial_analyzer.py Python 286L · 11.2 KB
└─ 📝 SKILL.md Markdown 266L · 10.5 KB

Dependencies 4 items

PackageVersionSourceKnown VulnsNotes
pandas * pip No Standard data analysis library
numpy * pip No Numerical computing
matplotlib * pip No Visualization library
seaborn * pip No Statistical visualization

Security Positives

✓ No credential harvesting or environment variable access
✓ No network requests or data exfiltration
✓ No shell execution or subprocess calls
✓ No obfuscated code or base64-encoded commands
✓ No access to sensitive paths (~/.ssh, ~/.aws, .env)
✓ No reverse shell or C2 communication patterns
✓ Standard financial calculations using well-known libraries (pandas, numpy)
✓ File operations limited to reading CSV/Excel and saving to user-specified locations
✓ No malicious dependencies or supply chain risks