vector-index-tuning
Pass
Audited by Gen Agent Trust Hub on Sep 26, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: No security issues were detected. The skill contains standard Python code for data science tasks including benchmarking vector indexes and implementing quantization strategies.
- [EXTERNAL_DOWNLOADS]: The skill references and uses well-known, industry-standard libraries such as
hnswlib,scikit-learn(sklearn),qdrant-client, andnumpy. These are reputable packages commonly used for vector search and machine learning. - [REMOTE_CODE_EXECUTION]: There is no evidence of remote code execution or suspicious script downloads. The code templates are self-contained or rely on standard library imports.
- [DATA_EXFILTRATION]: No sensitive file access or network exfiltration patterns were found. The skill operates on user-provided data structures (numpy arrays) for the purpose of index tuning and performance measurement.
- [PROMPT_INJECTION]: No prompt injection or behavior override patterns were detected in the instructions or metadata.
Audit Metadata