scvelo
Pass
Audited by Gen Agent Trust Hub on Apr 9, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill implements standard bioinformatics workflows using well-known, reputable open-source libraries such as scVelo and Scanpy. The code logic is entirely consistent with the stated purpose of analyzing transcriptomic data.\n- [SAFE]: No suspicious network activity, data exfiltration patterns, or hardcoded credentials were found. External URLs point only to official documentation and source code repositories.\n- [SAFE]: File operations are limited to reading biological data files (.loom, .h5ad) and writing analysis results to a local directory specified by the user.\n- [SAFE]: There is no evidence of obfuscation, dynamic code execution from untrusted sources, or privilege escalation. The use of parallel processing via n_jobs is a standard feature for heavy scientific computation.
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