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Install in OpenClaw
/install multi-omics-integration-strategist
Description
Design multi-omics integration strategies for transcriptomics, proteomics, and metabolomics data analysis
Usage Guidance
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.
Capability Analysis
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`.
Capability Assessment
Purpose & Capability
The name and description (multi‑omics integration) match the included script, pathway config, and report templates. However the SKILL.md lists many higher‑level dependencies (gseapy, seaborn, matplotlib, plotly, complexheatmap, R tools, etc.) while requirements.txt is minimal and omits several libraries mentioned in the docs. SKILL.md references config/mapping.json and an examples/sample_data directory that are not present in the file manifest. These mismatches suggest sloppy packaging or missing files rather than malicious intent.
Instruction Scope
Runtime instructions ask the user to run scripts with input CSVs and to export results for visualization. The instructions do not tell the agent to read unrelated system files, environment variables, or to contact unknown external endpoints. All file reads are confined to user-provided omics CSVs and local config files.
Install Mechanism
There is no install spec (instruction-only skill) so nothing is automatically downloaded or executed on install. That is lower risk. However the package lacks a complete requirements list; SKILL.md mentions more packages than requirements.txt contains. The missing dependency declarations increase the chance users will manually install libraries from the internet, and the manifest's incomplete packaging is a reliability concern.
Credentials
The skill requests no environment variables, no credentials, and no privileged config paths. Nothing in SKILL.md or the code attempts to access cloud credentials or unrelated secrets.
Persistence & Privilege
The skill does not request persistent or elevated presence (always: false). It does not modify other skills or agent-wide settings. Autonomous invocation is allowed (platform default) but is not combined here with other red flags.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install multi-omics-integration-strategist - After installation, invoke the skill by name or use
/multi-omics-integration-strategist - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Skill for designing and running multi-omics integration strategies, with pathway-level cross-validation and systems biology analysis.
- Initial release providing integrated joint analysis of transcriptomics, proteomics, and metabolomics data.
- Supports mapping and cross-validation of omics data at the pathway level using KEGG, Reactome, WikiPathways, and GO.
- Outputs include integration reports, mapping results, pathway scores, consistency matrices, and network edge lists.
- Generates analysis-ready results for visualization with external tools (e.g., Circos plot, heatmap, network graph).
- Includes configuration options for pathway databases and ID mapping.
- Input validation, risk assessment, and security measures documented.
Metadata
Frequently Asked Questions
What is Multi-Omics Integration Strategist?
Design multi-omics integration strategies for transcriptomics, proteomics, and metabolomics data analysis. It is an AI Agent Skill for Claude Code / OpenClaw, with 113 downloads so far.
How do I install Multi-Omics Integration Strategist?
Run "/install multi-omics-integration-strategist" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Multi-Omics Integration Strategist free?
Yes, Multi-Omics Integration Strategist is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Multi-Omics Integration Strategist support?
Multi-Omics Integration Strategist is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Multi-Omics Integration Strategist?
It is built and maintained by AIpoch (@aipoch-ai); the current version is v1.0.0.
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