bio-metabolomics-metabolite-annotation
Pass
Audited by Gen Agent Trust Hub on Oct 8, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides legitimate scientific workflows for metabolomics data analysis using established libraries such as
matchms. The instructions focus on scientific best practices, such as assigning confidence levels to metabolite identifications. - [SAFE]: Credential management for the SIRIUS CLI tool follows safe practices by recommending the use of environment variables (e.g.,
$SIRIUS_USER) rather than hardcoding sensitive information. - [SAFE]: No malicious patterns such as prompt injection, data exfiltration, or obfuscation were detected. The Python and shell examples are restricted to their stated scientific purpose.
- [SAFE]: All external tools mentioned (matchms, SIRIUS, MetFrag) are standard, well-recognized software in the bioinformatics and metabolomics communities.
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