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🦀 ClawHub

Data Analysis Assistant

by @evolinkai

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

Versionv1.0.6

Downloads1,299

#data #legal

View on ClawHub →

TERMINAL

clawhub install evolink-data-analysis

📖 About This Skill

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.

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  ""

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 |

👉 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

⚡ When to Use

Trigger	Action
- 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.

💡 Examples

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

Output:

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

⚙️ Configuration

👉 Get free API key