anndata-data-structure
Pass
Audited by Gen Agent Trust Hub on Sep 18, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill instructions and code examples focus exclusively on bioinformatics data structures and analysis workflows using the AnnData library. All identified functionality is consistent with its stated purpose.
- [CREDENTIALS_UNSAFE]: The skill includes a code example for S3 and GCS authentication using s3fs and gcsfs, but correctly uses placeholders ('...') for sensitive keys and secrets, preventing credential exposure.
- [EXTERNAL_DOWNLOADS]: The skill recommends standard, well-known Python packages from the scverse ecosystem, including anndata, scanpy, and scipy. Installations are performed via standard package managers (pip).
- [REMOTE_CODE_EXECUTION]: No patterns of remote code execution or piping of untrusted web content to shell interpreters were detected.
- [OBFUSCATION]: The content was analyzed for Base64 encoding, zero-width characters, homoglyphs, and hidden text patterns; no obfuscation techniques were found.
- [DATA_EXFILTRATION]: Network operations are limited to standard cloud storage interactions (S3/GCS) within a scientific context, with no evidence of sensitive data harvesting or exfiltration to unauthorized domains.
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