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Data Versioning

skill-ericwang915-data-scientist-skills-data-versioning · by ericwang915

Version datasets and models: DVC, LakeFS, Delta Lake for tracking data changes, reproducing experiments, and maintaining data lineage. Use when you need reproducibility or data governance.

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Install

$ agentstack add skill-ericwang915-data-scientist-skills-data-versioning

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ✓ Network access No
  • ✓ Filesystem access No
  • ✓ Shell / process execution No
  • ✓ Environment & secrets No
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

✓ Security review passed
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Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

Data Versioning

Purpose

Track dataset and model versions to ensure reproducibility and maintain data lineage.

How It Works

Tool Selection

| Tool | Best For | Storage | |------|----------|---------| | DVC | Git-based, ML projects | S3, GCS, local | | LakeFS | Data lake versioning | S3-compatible | | Delta Lake | Spark/Databricks | Cloud storage | | Git LFS | Small binary files | Git remote |

DVC Workflow

  1. Initialize DVC in your git repo
  2. Track data files with dvc add
  3. Push data to remote storage
  4. Version with git commits
  5. Reproduce with dvc repro

Best Practices

  • Never commit large data to git
  • Tag important data versions (training sets, releases)
  • Document data changes in commit messages
  • Automate data validation on version changes

Usage Examples

"Set up DVC to version our training datasets stored on S3"

Output Format

  • Setup Guide: Tool installation and configuration
  • Workflow: How to version, retrieve, and compare data
  • Python Code: Programmatic versioning integration

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.

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