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统计分析与论文框架 (Agentic AI 科研平台)
作者
EmergencerOnEarth
· GitHub ↗
· v0.1.0
· MIT-0
98
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当前安装
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版本数
在 OpenClaw 中安装
/install agentic-stats-analyzer
功能描述
对候选队列执行描述性统计与组间比较,生成感染率对比、描述统计表、结果摘要与论文框架草案。当用户需要做统计分析或生成论文框架时触发。
使用说明 (SKILL.md)
统计分析与论文框架 Skill
何时使用
当用户需要单独执行统计分析或论文框架生成时使用,例如:
- 「做一下初步统计分析」
- 「比较不同方案的感染率」
- 「帮我生成论文框架」
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":"stats-analyzer","display_name":"统计分析与论文框架","status":"running","message":"正在进行描述性统计、组间比较与论文框架生成..."}'
2. 读取数据并输出
读取 /home/ubuntu/workspace/demo/mock_data/analysis.json,向用户展示:
- 分析标题与总体样本量、主要终点、对比分组
- 感染率对比(表格):各方案的样本量和感染率
- 描述统计表:各方案的平均年龄、男性占比、平均手术时长、平均住院天数
- 高风险亚组预览:如果数据中有相关字段
- 关键发现摘要:逐条列出
- 注意事项
- 论文框架:
- 建议论文标题
- 章节列表
- 摘要草稿(如果数据中有)
3. 上报完成
curl -s -X POST http://localhost:5001/api/report \
-H "Content-Type: application/json" \
-d '{"skill":"stats-analyzer","display_name":"统计分析与论文框架","status":"completed","message":"统计分析完成,已生成论文框架草案"}'
安全使用建议
Before installing or running this skill, confirm these points: (1) The SKILL.md reads a specific file path (/home/ubuntu/.../analysis.json). Make sure that path is correct for your environment and does not point to sensitive data; ask the author to make the data path configurable rather than hard-coded. (2) The skill posts start/completion messages to http://localhost:5001/api/report — verify that this local service is expected and trustworthy, or request an option to disable reporting. (3) Because the skill is instruction-only and has no provenance or homepage, ask the publisher for source/ownership information and a sample of the expected input JSON format. (4) For safety, run the skill in an isolated/test environment with non-sensitive sample data first. (5) If you need to use your own datasets, insist on a configurable data path and explicit permission prompts so the agent won't read arbitrary files.
功能分析
Type: OpenClaw Skill
Name: agentic-stats-analyzer
Version: 0.1.0
The skill is designed to perform descriptive statistics and generate research paper frameworks by reading a local JSON file (/home/ubuntu/workspace/demo/mock_data/analysis.json). It uses curl to report its execution status to a local API (localhost:5001), which is a standard reporting pattern, and contains no indicators of malicious intent, data exfiltration, or unauthorized access.
能力评估
Purpose & Capability
The skill's name and description match a stats-and-paper-drafting task, but the SKILL.md requires reading a specific file (/home/ubuntu/workspace/demo/mock_data/analysis.json) and posting status to http://localhost:5001/api/report. The registry metadata declared no required config paths or endpoints—this mismatch is unexplained and disproportionate to the claimed functionality.
Instruction Scope
The runtime instructions explicitly tell the agent to read a local filesystem path and to send POST requests to a localhost HTTP service. These actions are outside the declared requirements and could access sensitive data or interact with local services without the user being aware. The instructions do not specify fallback behavior, authorization, or user confirmation.
Install Mechanism
No install spec and no code files (instruction-only) — lowest install risk because nothing is written to disk by an installer.
Credentials
The skill declares no environment variables or credentials (reasonable for a local demo). However, it performs network calls to a local endpoint and reads a hard-coded path despite not declaring these as required config; this should have been made explicit so users can judge access scope.
Persistence & Privilege
always:false and no indication the skill modifies agent/system configuration or demands permanent presence. Autonomous invocation is allowed (platform default) but not combined with other high-privilege settings.
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 agentic-stats-analyzer - 安装完成后,直接呼叫该 Skill 的名称或使用
/agentic-stats-analyzer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
v0.1.0
initial publish
元数据
常见问题
统计分析与论文框架 (Agentic AI 科研平台) 是什么?
对候选队列执行描述性统计与组间比较,生成感染率对比、描述统计表、结果摘要与论文框架草案。当用户需要做统计分析或生成论文框架时触发。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 98 次。
如何安装 统计分析与论文框架 (Agentic AI 科研平台)?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install agentic-stats-analyzer」即可一键安装,无需额外配置。
统计分析与论文框架 (Agentic AI 科研平台) 是免费的吗?
是的,统计分析与论文框架 (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。
统计分析与论文框架 (Agentic AI 科研平台) 支持哪些平台?
统计分析与论文框架 (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 统计分析与论文框架 (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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