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semantic-vector-store
Semantic vector store providing embedding and similarity search for OpenClaw memory architecture
A legitimate semantic vector store skill that provides vector embedding and similarity search capabilities using sentence-transformers and FAISS. No malicious behavior detected.
Skill Namesemantic-vector-store
Duration25.3s
Enginepi
Safe to install
This skill is safe to use. It performs only its documented functionality - semantic vector storage and search.
ResourceDeclaredInferredStatusEvidence
Filesystem READ WRITE ✓ Aligned SQLite DB write to ~/.config/cortexgraph/ for intended storage
Network READ READ ✓ Aligned Downloads embedding models from HuggingFace
Shell NONE NONE No shell execution observed
Environment NONE NONE No sensitive env access
Database WRITE WRITE ✓ Aligned SQLite write operations in VectorStore class
1 findings
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Medium External URL 外部 URL
https://clawhub.com/docs/skill-dev
SKILL.md:183

File Tree

2 files · 28.6 KB · 843 lines
Python 1f · 657L Markdown 1f · 186L
├─ 📁 scripts
│ └─ 🐍 semantic_vector_store.py Python 657L · 24.1 KB
└─ 📝 SKILL.md Markdown 186L · 4.6 KB

Dependencies 4 items

PackageVersionSourceKnown VulnsNotes
sentence-transformers * pip No Optional dependency with fallback
faiss * pip No Optional dependency with fallback
numpy * pip No Standard ML dependency
pickle N/A stdlib No Used for internal vector serialization only

Security Positives

✓ Uses only standard Python libraries plus optional ML libraries (sentence-transformers, faiss)
✓ No shell command execution or subprocess usage
✓ No credential harvesting or sensitive file access
✓ No network exfiltration or C2 communication
✓ No code obfuscation or base64-encoded execution
✓ Pickle usage is limited to internal vector storage (not deserializing untrusted external data)
✓ Proper error handling with try/except blocks throughout
✓ Database path is confined to expected ~/.config/cortexgraph/ location
✓ Dependencies are optional (graceful fallback to stub when unavailable)