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evolink-data-analysisevolink 数据分析

Agent Skill

用于辅助数据整理、表格处理、CSV/Excel 分析、指标计算和图表准备。它适合让 Agent 清洗字段、汇总数据、发现异常、生成统计口径或把分析结果转成可读说明。使用时需要确认数据来源、字段含义和时间范围,避免把样本数据当全量事实;涉及敏感数据、导出文件或批量写回时,应先确认权限和脱敏边界。

总安装

9,585

周安装

384

GitHub Stars

公开资料未说明

下载量

3,103
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:evolink-data-analysis(evolink 数据分析)
来源仓库:https://github.com/evolinkai/evolink-data-analysis
安装命令:
openclaw skills install evolink-data-analysis
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install evolink-data-analysis

简介

使用 EvoLink API 进行人工智能驱动的数据分析。具有统计严谨性的决策优先方法。由 evolink.ai 提供支持

SKILL.md

name
data-analysis
description
AI-powered data analysis using EvoLink API. Decision-first methodology with statistical rigor. Powered by evolink.ai

Data Analysis Assistant

AI-powered data analysis with decision-first methodology and statistical rigor.

Powered by Evolink.ai

When to Use

Use this skill when the user needs to:

  • Analyze data from CSV, Excel, JSON files
  • Find patterns, trends, or anomalies
  • Understand metrics and KPIs
  • Test hypotheses or A/B tests
  • Perform cohort or funnel analysis
  • Debug data quality issues
  • Generate insights for decision-making

Core Principle: Analysis without a decision is just arithmetic. Always clarify what would change if the analysis shows X vs Y.

Usage

{baseDir}/scripts/analyze.sh <file_path> "<analysis_question>"

Configuration

VariableDefaultRequiredDescription
EVOLINK_API_KEY-YesYour EvoLink API key
EVOLINK_MODELclaude-opus-4-6NoModel for analysis. Switch to any model supported by the Evolink API
DATA_ANALYSIS_SAFE_DIR$HOME/.openclaw/workspaceNoAllowed directory for local file access

👉 Get free API key

Example

bash scripts/analyze.sh sales_data.csv "What are the top 3 revenue drivers this quarter?"

Output:

📊 Analyzing: sales_data.csv
❓ Question: What are the top 3 revenue drivers this quarter?

🔍 Analysis Results:

1. **Product Category A** - $2.4M (40% of total)
   - 15% growth vs last quarter
   - Driven by enterprise segment

2. **Geographic Expansion** - $1.8M (30% of total)
   - New markets in APAC region
   - 3x growth vs last quarter

3. **Upsell to Existing Customers** - $1.2M (20% of total)
   - 25% conversion rate on upgrade offers
   - Average deal size: $50K

📈 Confidence: High (n=1,247 transactions)
⚠️  Caveats: Q4 includes holiday seasonality
💡 Recommendation: Double down on APAC expansion and enterprise upsells

Methodology

1. Decision First

  • Identify the decision owner and question
  • Clarify what would change based on results
  • Set deadline before computing

2. Statistical Rigor

  • Check sample size sufficiency
  • Ensure fair comparison groups
  • Account for multiple comparisons
  • Quantify uncertainty (confidence intervals)
  • Verify effect size is meaningful

3. Output Standards

  • Lead with insight, not methodology
  • Quantify uncertainty (ranges, not point estimates)
  • State limitations clearly
  • Recommend next steps

Security

⚠️ Data Transmission Warning

This skill reads the entire content of your data file and sends it to api.evolink.ai for analysis. Do not use this skill on files containing:

  • API keys, tokens, or credentials
  • Personally Identifiable Information (PII)
  • Confidential business data
  • Any sensitive information you don't want transmitted to an external service

The script implements security checks (directory constraints, symlink rejection, filename blacklist, size/MIME validation), but cannot guarantee that arbitrary data files are free of secrets.

Credentials & Network

Requires EVOLINK_API_KEY to call EvoLink API. Your data file content and analysis question are sent to api.evolink.ai for processing. EvoLink processes the data and returns analysis results. No data is stored after processing.

File Access

This skill reads the specified data file (CSV, Excel, JSON) from your local filesystem. Files must be within DATA_ANALYSIS_SAFE_DIR (default: $HOME/.openclaw/workspace).

Security validations:

  • Path resolution via realpath -e (requires file to exist, resolves symlinks)
  • Symlink inputs are explicitly rejected
  • Directory constraint with trailing-slash comparison
  • Filename blacklist: .env*, *.key, *.pem, *.p12, *.pfx, id_rsa*, authorized_keys, config.json, .bash_history, .ssh, shadow, passwd
  • File size limit: 50MB maximum
  • MIME validation: Only text/csv, text/plain, application/json, application/vnd.ms-excel, application/vnd.openxmlformats-officedocument.spreadsheetml.sheet accepted

Network Access

  • EvoLink API (api.evolink.ai) - Sends data and receives analysis

All network calls use curl and can be audited in the script source.

Persistence & Privilege

This skill does not modify other skills or system settings. Does not request elevated or persistent permissions.

Links

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

70.82%
按下载量换算2,198

安全审计

VirusTotal

未展示

ClawScan

通过

Static analysis

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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