Dual Disease Transcriptomic Ml Planner
v0.1.0Generates dual-disease transcriptomic and ML research designs for shared biomarkers, hub genes, and mechanisms, outputting four workload plans with workflows...
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byAIpoch@aipoch-ai
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
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OpenClaw
Benign
high confidencePurpose & Capability
The name/description (dual-disease transcriptomic + ML study planner) match the SKILL.md content and referenced guides. All required actions (GEO search, limma/DEG, PPI, CytoHubba, ROC, immune deconvolution) are appropriate for the stated goal. No unrelated credentials, binaries, or platform-level access are requested.
Instruction Scope
The runtime instructions are detailed but stay within the expected scope: they tell the agent how to design analyses, what thresholds and fallback rules to use, and which public tools/datasets to consult. The instructions do not ask the agent to read local files, access system credentials, or exfiltrate data. They reference public websites and R/Bioconductor packages as expected for this domain.
Install Mechanism
No install spec or code files are included (instruction-only). There are no downloads, archives, or third-party packages specified that would be written to disk by the skill itself.
Credentials
The skill declares no required environment variables, credentials, or config paths. All recommended tools are publicly available bioinformatics packages or web services and are proportionate to the stated research-planning purpose.
Persistence & Privilege
always is false and the skill is user-invocable; model invocation is allowed (platform default). This is expected for a planning skill — but as with any autonomous-capable skill, review outputs before acting on them. There is no request to modify other skills or system settings.
Assessment
This skill is instruction-only and internally consistent with its stated purpose: it provides a methodical design for dual-disease transcriptomic + ML studies and references common public tools and GEO. Before installing, consider: (1) the skill will not itself fetch private files or ask for credentials, but your agent (platform behavior) might be asked to access the web or run commands — verify and approve those actions; (2) outputs are planning guidance, not executed analysis — verify dataset suitability, ethical/privacy constraints, and reproduce results before publication; (3) because there is no code to audit, watch for future versions that add install scripts or environment-variable requirements; (4) test the skill on non-sensitive example disease pairs first and review the assumptions the skill lists (tissue choice, thresholds, fallback rules) to ensure they match your study needs.Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.