Personal Genomics Analysis

Analyze consumer DNA data from WeGene, 23andMe, AncestryDNA, VCF, BAM, or CRAM files. Generate evidence-based reports covering health risks, pharmacogenomics...

This package documents a full genomics analysis pipeline but only provides a genotype parser and supporting docs — the analysis engine (SNP DB in machine-readable form, multi-SNP logic, and report generator) appears to be missing. Before installing or uploading any personal genomic files: 1) Confirm with the publisher where the analysis/reporting code and the programmatic SNP database live; do not upload sensitive data if the code that performs interpretation is absent or opaque. 2) If you need CRAM/BAM support, note the docs instruct building samtools/bcftools from GitHub (requires network access and compilation); only perform this in an environment you control and trust. 3) Be aware the skill will ask for medical history and medication lists — this is expected for personalized interpretation, but treat it as highly sensitive personal health information. 4) Review the parse_genotypes.py output locally first to ensure data never leaves your machine; ask the maintainer to provide the missing analysis/reporting scripts (or a clear, auditable implementation) before trusting automated recommendations (especially dosing or clinical suggestions). 5) Consider running any untrusted code in an isolated VM/container and consult a qualified clinician for medical decisions; do not treat supplement or diagnostic recommendations as definitive medical advice.

Type: OpenClaw Skill Name: personal-genomics-analysis Version: 1.0.1 The skill provides a comprehensive framework for analyzing sensitive genomic data and personal medical history. It includes instructions in 'references/tool_setup.md' to download and compile external bioinformatics tools (samtools and bcftools) from GitHub using 'curl' and 'make'. While these high-risk capabilities (remote code execution and network access) are plausibly required for the stated purpose of analyzing alignment files, the combination of processing highly sensitive personal health information and executing remote build scripts warrants a suspicious classification under the provided criteria.