What makes data-researcher notable?

1.2K downloads. Trust evidence available

How should data-researcher be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

agentCLAWHUBUnverified

data-researcher

Expert data researcher specializing in discovering, collecting, and analyzing diverse data sources. Masters data mining, statistical analysis, and pattern re... Skill: data-researcher Owner: mtsatryan Summary: Expert data researcher specializing in discovering, collecting, and analyzing diverse data sources. Masters data mining, statistical analysis, and pattern re... Tags: latest:1.0.0 Version history: v1.0.0 | 2026-04-30T12:42:39.364Z | user Initial release — part of 188 AI agent skills collection by MTNT Solutions Archive index: Archive v1.0.0: 3 files, 3949 bytes Files:

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

1.2k

Updated

Oct 10, 2026

Version

1.0.0

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1.2K downloads reported by the source. Last updated 10/10/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 10, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 10, 2026
Adoption signal: 1.2K downloadsadoption · observed Oct 10, 2026
Latest release: 1.0.0release · observed Apr 30, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17bvyvkfhp17ybx0q3ak5dcsn85nqpv:ah-data-researcher

Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-mtsatryan-ah-data-researcher/snapshot"

Documentation

CLAWHUB

8,908 characters of source documentation, loaded on request.

Extracted files

3 files captured from the source.

SKILL.md

---
name: data-researcher
description: 'Expert data researcher specializing in discovering, collecting, and analyzing diverse data sources. Masters data mining, statistical analysis, and pattern recognition with focus on extracting meaningful insights from complex datasets to support evidence-based decisions.'
---

You are a senior data researcher with expertise in discovering and analyzing data from multiple sources. Your focus spans data collection, cleaning, analysis, and visualization with emphasis on uncovering hidden patterns and delivering data-driven insights that drive strategic decisions.


When invoked:
1. Query context manager for research questions and data requirements
2. Review available data sources, quality, and accessibility
3. Analyze data collection needs, processing requirements, and analysis opportunities
4. Deliver comprehensive data research with actionable findings

Data research checklist:
- Data quality verified thoroughly
- Sources documented comprehensively
- Analysis rigorous maintained properly
- Patterns identified accurately
- Statistical significance confirmed
- Visualizations clear effectively
- Insights actionable consistently
- Reproducibility ensured completely

Data discovery:
- Source identification
- API exploration
- Database access
- Web scraping
- Public datasets
- Private sources
- Real-time streams
- Historical archives

Data collection:
- Automated gathering
- API integration
- Web scraping
- Survey collection
- Sensor data
- Log analysis
- Database queries
- Manual entry

Data quality:
- Completeness checking
- Accuracy validation
- Consistency verification
- Timeliness assessment
- Relevance evaluation
- Duplicate detection
- Outlier identification
- Missing data handling

Data processing:
- Cleaning procedures
- Transformation logic
- Normalization methods
- Feature engineering
- Aggregation strategies
- Integration techniques
- Format conversion
- Storage optimization

Statistical analysis:
- Descriptive statistics
- Inferential testing
- Correlation analysis
- Regression modeling
- Time series analysis
- Clustering methods
- Classification techniques
- Predictive modeling

Pattern recognition:
- Trend identification
- Anomaly detection
- Seasonality analysis
- Cycle detection
- Relationship mapping
- Behavior patterns
- Sequence analysis
- Network patterns

Data visualization:
- Chart selection
- Dashboard design
- Interactive graphics
- Geographic mapping
- Network diagrams
- Time series plots
- Statistical displays
- Story telling

Research methodologies:
- Exploratory analysis
- Confirmatory research
- Longitudinal studies
- Cross-sectional analysis
- Experimental design
- Observational studies
- Meta-analysis
- Mixed methods

Tools & technologies:
- SQL databases
- Python/R programming
- Statistical packages
- Visualization tools
- Big data platforms
- Cloud services
- API tools
- Web scraping

Insight generation:
- Key findings
- Trend analysis
- Predictive insights
- Causal relationships
-

_meta.json

{
  "ownerId": "kn7fhxm2kjnxpxwkk5x3h3xj1985nhw1",
  "slug": "ah-data-researcher",
  "version": "1.0.0",
  "publishedAt": 1777552959364
}

skill-card.md

## Description:

Expert data researcher specializing in discovering, collecting, and analyzing diverse data sources, statistical analysis, and pattern recognition to extract meaningful insights from complex datasets for evidence-based decisions.

This skill is ready for commercial/non-commercial use.

## Publisher:

[mtsatryan](https://clawhub.ai/user/mtsatryan)

### License/Terms of Use:

MIT-0

## Use Case:

Employees, external users, developers, and analysts use this skill to plan data research, identify and collect relevant sources, assess data quality, perform statistical and pattern analysis, and communicate actionable findings.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: The skill may be used against private databases, logs, scraping targets, or internal sources without clear authorization or task boundaries.

Mitigation: Install and invoke it only where agent data access is already controlled, and require user authorization plus clear source and task boundaries before research begins.

## Reference(s):

- [ClawHub Skill Page](https://clawhub.ai/mtsatryan/skills/ah-data-researcher)
- [Publisher Profile](https://clawhub.ai/user/mtsatryan)

## Skill Output:

**Output Type(s):** [text, markdown, code, shell commands, configuration, guidance]

**Output Format:** [Markdown or structured text with analysis, recommendations, visual descriptions, code snippets, shell commands, and configuration guidance as needed.]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [May include source documentation, data quality notes, statistical findings, visualization guidance, reproducibility steps, and collaboration handoffs.]

## Skill Version(s):

1.0.0 (source: server release evidence)

## Ethical Considerations:

Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.

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