ai-matching-records
Pass
Audited by Gen Agent Trust Hub on May 13, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill primarily consists of documentation and Python code snippets designed to guide users through building a record-matching pipeline. It uses well-established methodologies like blocking and transitive closure.
- [SAFE]: The Python dependencies referenced (dspy, jellyfish, numpy, and scikit-learn) are standard, reputable libraries in the data science and AI development ecosystem.
- [SAFE]: Analysis of the instructions and code revealed no evidence of prompt injection, credential exfiltration, or unauthorized network operations. Use of external models (OpenAI/Anthropic) via DSPy is standard functionality for this type of skill.
- [SAFE]: References to other skills (e.g.,
lebsral/DSPy-Programming...) are identified as vendor-owned resources consistent with the author's ecosystem and do not pose a security risk. - [SAFE]: No obfuscation techniques, hidden URLs, or dynamic context injection patterns were found in the provided files.
Audit Metadata