← Back to Skills Marketplace

数据映射与队列分析 (Agentic AI 科研平台)

Name: 数据映射与队列分析 (Agentic AI 科研平台)
Author: emergenceronearth

by EmergencerOnEarth · GitHub ↗ · v0.1.0 · MIT-0

cross-platform ✓ Security Clean

114

Downloads

Stars

Active Installs

Versions

Install in OpenClaw

/install agentic-cohort-analyst

Description

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。

README (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"}'

Usage Guidance

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.

Capability Analysis

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.

Capability Assessment

✓ 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.

ℹ 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.

How to Use

Make sure OpenClaw is installed (local or Docker)
Run the install command in chat: /install agentic-cohort-analyst
After installation, invoke the skill by name or use /agentic-cohort-analyst
Provide required inputs per the skill's parameter spec and get structured output

Version History

v0.1.0

initial publish

Metadata

Slug agentic-cohort-analyst

Version 0.1.0

License MIT-0

All-time Installs 0

Active Installs 0

Total Versions 1

Frequently Asked Questions

What is 数据映射与队列分析 (Agentic AI 科研平台)?

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。 It is an AI Agent Skill for Claude Code / OpenClaw, with 114 downloads so far.

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

Run "/install agentic-cohort-analyst" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is 数据映射与队列分析 (Agentic AI 科研平台) free?

Yes, 数据映射与队列分析 (Agentic AI 科研平台) is completely free, licensed under MIT-0. You can download, install and use it at no cost.

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

数据映射与队列分析 (Agentic AI 科研平台) is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

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

It is built and maintained by EmergencerOnEarth (@emergenceronearth); the current version is v0.1.0.

More Skills