Multi-Omics Integration Strategist

Design multi-omics integration strategies for transcriptomics, proteomics, and metabolomics data analysis

This skill appears to implement the advertised multi‑omics analysis, but treat it as prototype code rather than production software. Before running: (1) review scripts/main.py and templates yourself — there is at least one obvious bug (a variable name typo causing a NameError in the directional consistency function) and several functions are placeholders/simplified (ID mapping is naive). (2) Do not run on sensitive or production datasets until you verify behavior; run with small test CSVs in a sandbox. (3) Fix or complete missing pieces: SKILL.md references mapping.json and example data that aren't included, and lists plotting/enrichment packages not present in requirements.txt (e.g., gseapy, seaborn, matplotlib). (4) When installing deps, prefer pinned, audited packages and avoid blindly pip installing extra tooling. (5) If you lack the skills to audit Python code, ask a technical colleague to vet the script for correctness and for any unexpected network or I/O calls before use.

Type: OpenClaw Skill Name: multi-omics-integration-strategist Version: 1.0.0 The skill bundle is a legitimate bioinformatics tool designed for multi-omics data integration (RNA, protein, and metabolites). The Python script `scripts/main.py` implements standard data processing using well-known libraries like pandas, scipy, and networkx, performing pathway enrichment and cross-validation scoring. There is no evidence of data exfiltration, malicious execution, or prompt injection; the code logic is transparent and aligns perfectly with the documentation in `SKILL.md` and the configuration in `config/pathways.json`.