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在 OpenClaw 中安装
/install two-sample-mr-research-planner-3
功能描述
Generates comprehensive two-sample Mendelian randomization study designs with four workload options from user-specified exposures and outcomes for causal inf...
安全使用建议
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.
能力评估
Purpose & 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.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install two-sample-mr-research-planner-3 - 安装完成后，直接呼叫该 Skill 的名称或使用
/two-sample-mr-research-planner-3触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
two-sample-mr-research-planner 1.0.0 – initial release
- Generates a complete design for two-sample Mendelian randomization research, starting from a user’s research question.
- Supports multiple study types: single exposure, multi-exposure screening, bidirectional, behavioral/lifestyle, biomarker, and publication-focused MR.
- Always produces four workload configurations (Lite, Standard, Advanced, Publication+) with plans, detailed workflows, figure lists, validation, minimal version, and upgrade advice.
- Robust failure and risk management: provides fallback strategies for weak instruments, data gaps, and common challenges in MR.
- Includes best-practice R code frameworks (using the TwoSampleMR package), with clear prompts for users to supply their own GWAS IDs.
元数据
常见问题
Two Sample Mr Research Planner 是什么？
Generates comprehensive two-sample Mendelian randomization study designs with four workload options from user-specified exposures and outcomes for causal inf... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 101 次。
如何安装 Two Sample Mr Research Planner？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install two-sample-mr-research-planner-3」即可一键安装，无需额外配置。
Two Sample Mr Research Planner 是免费的吗？
是的，Two Sample Mr Research Planner 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Two Sample Mr Research Planner 支持哪些平台？
Two Sample Mr Research Planner 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Two Sample Mr Research Planner？
由 AIpoch（@aipoch-ai）开发并维护，当前版本 v1.0.0。
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