bio-outlier-splicing-detection
Pass
Audited by Gen Agent Trust Hub on Oct 8, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill implements workflows for outlier splicing detection using established tools published in peer-reviewed scientific journals (e.g., Nature Protocols, AJHG).
- [SAFE]: Software dependencies and packages are sourced from trusted bioinformatics ecosystems, including Bioconductor and bioconda.
- [SAFE]: No suspicious behaviors such as credential theft, hidden network communication, or code obfuscation were identified in the R scripts or documentation.
- [SAFE]: The data processing focuses on structured genomic formats (BAM and counts files), which do not present a typical vector for malicious prompt injection.
Audit Metadata