scvelo
Pass
Audited by Gen Agent Trust Hub on Oct 1, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill implementation in
SKILL.mdandscripts/rna_velocity_workflow.pyfollows established bioinformatics protocols for RNA velocity estimation. It relies on legitimate, open-source libraries such asscvelo,scanpy, andanndatafor all computational tasks. - [SAFE]: All file operations are restricted to local data ingestion (e.g., reading
.loomand.h5adfiles) and saving results to a local output directory. There are no network operations that could lead to data exfiltration or unauthorized remote communication. - [SAFE]: No obfuscation techniques, hidden commands, or suspicious encoding patterns (such as Base64 or hex-encoded payloads) were detected across the skill files. The technical documentation in
references/velocity_models.mdaccurately describes the mathematical and computational methods used. - [SAFE]: The skill does not exhibit any persistence mechanisms, privilege escalation attempts, or prompt injection vectors. It acts as a specialized data analysis tool for life sciences researchers without exceeding its intended scope.
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