Trusted — Risk Score 0/100
Last scan:23 hr ago Rescan
0 /100
guoshun-contract-analyzer
国顺合同风险审核技能 V2.0 - 江苏国顺智能科技有限公司专用。自动分析工程合同(施工分包/货物采购/智能化分包),输出结构化风险报告。
This is a legitimate contract risk analysis skill for a construction company, with clean implementation, documented behavior, and no malicious indicators.
Skill Nameguoshun-contract-analyzer
Duration28.7s
Enginepi
Safe to install
No action needed. The skill is safe to use as designed.
ResourceDeclaredInferredStatusEvidence
Filesystem NONE READ ✓ Aligned SKILL.md describes PDF/DOCX upload; scripts/extract_contract.py reads contract f…
Network NONE NONE No network calls in extract_contract.py
Shell NONE NONE No subprocess or shell execution in extract_contract.py
Environment NONE NONE extract_contract.py only uses sys.argv and os.path
Skill Invoke NONE NONE No skill invocation or LLM manipulation observed
Clipboard NONE NONE Not used
Browser NONE NONE Not used
Database NONE NONE Not used

File Tree

3 files · 22.9 KB · 648 lines
Markdown 2f · 558L Python 1f · 90L
├─ 📁 references
│ └─ 📝 sample-contracts.md Markdown 198L · 6.0 KB
├─ 📁 scripts
│ └─ 🐍 extract_contract.py Python 90L · 2.3 KB
└─ 📝 SKILL.md Markdown 360L · 14.7 KB

Dependencies 2 items

PackageVersionSourceKnown VulnsNotes
pdfplumber * pip No Import-lazy; installed at runtime with user-facing error message if missing
python-docx * pip No Import-lazy; installed at runtime with user-facing error message if missing

Security Positives

✓ No network requests — extract_contract.py performs zero outbound connections
✓ No shell execution — uses only standard library functions (pdfplumber, python-docx) with on-demand import
✓ Clean code — no obfuscation, base64, or eval patterns
✓ Full documentation in SKILL.md with 360 lines covering all functionality
✓ No credential access — does not read .env, ~/.ssh, or environment variables
✓ No persistence mechanisms — no cron jobs, startup hooks, or backdoors
✓ Files are reference data and legitimate contract analysis code, no data exfiltration
✓ No supply chain risks — dependencies (pdfplumber, python-docx) are well-known, pinned packages