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数据映射与队列分析 (Agentic AI 科研平台)

作者 EmergencerOnEarth · GitHub ↗ · v0.1.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install agentic-cohort-analyst
功能描述
将研究变量映射到院内数据字典,评估 Cohort 可行性(候选样本量、缺失率、风险提示),并生成纳排标准草案。当用户需要做数据映射或队列可行性分析时触发。
使用说明 (SKILL.md)

数据映射与队列分析 Skill

何时使用

当用户需要单独执行数据映射或队列可行性分析时使用,例如:

  • 「帮我看看院内有哪些可用变量」
  • 「做一下 Cohort 可行性评估」
  • 「生成纳排标准」

如果是完整任务流程的一部分,则由 task-planner 调度。

执行步骤

1. 上报开始

curl -s -X POST http://localhost:5001/api/report \
  -H "Content-Type: application/json" \
  -d '{"skill":"cohort-analyst","display_name":"数据映射与队列分析","status":"running","message":"正在连接院内数据字典,匹配变量与评估缺失率..."}'

2. 读取数据并输出

读取 /home/ubuntu/workspace/demo/mock_data/cohort.json,向用户展示:

  • 变量映射表(表格形式):研究变量、院内字段名、数据源、可用性、缺失率
  • Cohort 概览:候选病例数、时间范围、高质量/中等/高缺失变量计数
  • 风险提示:逐条列出风险等级、问题项、建议
  • 纳排标准草案:纳入标准和排除标准分别列出
  • 分组预览:如果数据中有 group_preview,展示各方案的样本量

3. 上报完成

curl -s -X POST http://localhost:5001/api/report \
  -H "Content-Type: application/json" \
  -d '{"skill":"cohort-analyst","display_name":"数据映射与队列分析","status":"completed","message":"已完成 9 个变量映射,候选队列 1,284 例"}'
安全使用建议
This skill is internally consistent for doing a demo cohort mapping: it reads a local demo JSON and reports status to a local HTTP endpoint. Before installing/using it, confirm (1) the referenced file path (/home/ubuntu/workspace/demo/mock_data/cohort.json) is the intended dataset (avoid pointing to real patient data unless you trust the skill and environment), (2) the reporting endpoint (http://localhost:5001) is a trusted local service and not a tunnel to an external party, and (3) run the skill in an isolated/test environment first. If you need it to operate on your real institutional data, update the instructions to point to your authorized data source and verify logging/retention policies. If anything about the hard-coded path or the localhost endpoint is unexpected, treat that as a red flag and ask the skill author to remove or parameterize those values.
功能分析
Type: OpenClaw Skill Name: agentic-cohort-analyst Version: 0.1.0 The skill bundle is designed for medical cohort analysis and data mapping. It reads a local data file (/home/ubuntu/workspace/demo/mock_data/cohort.json) and uses curl to report status updates to a local API endpoint (http://localhost:5001/api/report). The instructions in SKILL.md are consistent with the stated purpose, and there are no signs of data exfiltration, malicious execution, or prompt injection attacks.
能力评估
Purpose & Capability
The skill promises to map research variables to an institutional data dictionary and evaluate cohort feasibility; the SKILL.md instructs reading a cohort JSON and producing mapping, cohort overview, risk notes and inclusion/exclusion drafts — these are coherent with the stated purpose.
Instruction Scope
The runtime instructions explicitly read a local file (/home/ubuntu/workspace/demo/mock_data/cohort.json) and make HTTP POSTs to http://localhost:5001/api/report. Reading a local cohort file and reporting progress is within scope, but the file path and the local report endpoint are hard-coded and not declared elsewhere; confirm these targets are intended and safe in your environment.
Install Mechanism
There is no install spec and no code files (instruction-only skill), which is the lowest-risk modality — nothing is written to disk by an installer.
Credentials
The skill requests no environment variables or external credentials. However, it does access a specific local filesystem path and a localhost HTTP endpoint; while these are functionally related to the skill's task, you should verify that the file and endpoint contain only intended test/demo data and that posting to localhost is safe.
Persistence & Privilege
The skill is not always-enabled and does not request persistent privileges or modify other skills or system-wide settings.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install agentic-cohort-analyst
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /agentic-cohort-analyst 触发
  4. 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
v0.1.0
initial publish
元数据
Slug agentic-cohort-analyst
版本 0.1.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

数据映射与队列分析 (Agentic AI 科研平台) 是什么?

将研究变量映射到院内数据字典,评估 Cohort 可行性(候选样本量、缺失率、风险提示),并生成纳排标准草案。当用户需要做数据映射或队列可行性分析时触发。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 114 次。

如何安装 数据映射与队列分析 (Agentic AI 科研平台)?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install agentic-cohort-analyst」即可一键安装,无需额外配置。

数据映射与队列分析 (Agentic AI 科研平台) 是免费的吗?

是的,数据映射与队列分析 (Agentic AI 科研平台) 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

数据映射与队列分析 (Agentic AI 科研平台) 支持哪些平台?

数据映射与队列分析 (Agentic AI 科研平台) 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 数据映射与队列分析 (Agentic AI 科研平台)?

由 EmergencerOnEarth(@emergenceronearth)开发并维护,当前版本 v0.1.0。

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