/install evolink-data-analysis
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 \x3Cfile_path> "\x3Canalysis_question>"
Configuration
| Variable | Default | Required | Description |
|---|---|---|---|
EVOLINK_API_KEY |
- | Yes | Your EvoLink API key |
EVOLINK_MODEL |
claude-opus-4-6 |
No | Model for analysis. Switch to any model supported by the Evolink API |
DATA_ANALYSIS_SAFE_DIR |
$HOME/.openclaw/workspace |
No | Allowed directory for local file access |
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.sheetaccepted
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
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install evolink-data-analysis - 安装完成后,直接呼叫该 Skill 的名称或使用
/evolink-data-analysis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
Data Analysis Assistant 是什么?
AI-powered data analysis using EvoLink API. Decision-first methodology with statistical rigor. Powered by evolink.ai. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 299 次。
如何安装 Data Analysis Assistant?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install evolink-data-analysis」即可一键安装,无需额外配置。
Data Analysis Assistant 是免费的吗?
是的,Data Analysis Assistant 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Data Analysis Assistant 支持哪些平台?
Data Analysis Assistant 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 Data Analysis Assistant?
由 EvolinkAI(@evolinkai)开发并维护,当前版本 v1.0.6。