Two Sample Mr Research Planner
v1.0.0Generates comprehensive two-sample Mendelian randomization study designs with four workload options from user-specified exposures and outcomes for causal inf...
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MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
The name/description (two-sample MR research planner) matches the SKILL.md and reference files. All required content (GWAS sources, IV benchmarks, workflows) aligns with an MR study planning tool. There are no unrelated dependencies, binaries, or credential requests.
Instruction Scope
SKILL.md contains stepwise guidance for designing MR studies, data sources to consult, thresholds, and figure plans. It stays within the domain of study design and does not instruct the agent to read arbitrary local files, exfiltrate data, or call unknown external endpoints. It does advise consulting external public/controlled GWAS resources (IEU Open GWAS, UKB, etc.), which is appropriate for the purpose.
Install Mechanism
There is no install spec and no code files—this is instruction-only—so nothing will be written to disk or fetched by an automated installer.
Credentials
The skill requests no environment variables or credentials. One note: the guidance references controlled-access resources (UK Biobank, 23andMe, some consortium data) that typically require separate credentials or approvals; the skill itself does not request them, which is appropriate, but users following recommendations will need to manage access separately.
Persistence & Privilege
always is false and the skill is user-invocable. It does not request persistent system privileges or modify other skills. Autonomous model invocation is allowed by platform default but not elevated here.
Assessment
This is an instruction-only MR study planner and appears internally consistent. It doesn't request secrets or install code. Before using: (1) avoid pasting any controlled-access or participant-level data into prompts—do not share private GWAS datasets or identifiable data; (2) be aware that following the planner will often require you to obtain access credentials or approvals separately (UK Biobank, 23andMe, restricted consortium data); (3) treat the output as methodological guidance — validate final analytic choices with domain experts and follow applicable data-use and ethics policies; (4) if you plan to let an autonomous agent run analyses, restrict it from fetching or uploading proprietary GWAS data without explicit authorization.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.