# Synthetic Data

> Generate synthetic datasets from schemas, real data, or LLM-driven personas. Tabular fit-and-sample (SDV: GaussianCopula, CTGAN, TVAE), Faker/Mimesis schema generation, deterministic PII swap, LLM-driven real-to-synth conversion for unstructured records, and SDMetrics-based quality/privacy evaluation (plus embedding-based leakage checks for text).

## Facts
- Page: https://tashan.sh/capability/plugin-danielrosehill-claude-code-plugins-synthetic-data
- tashan id: plugin:danielrosehill/claude-code-plugins/synthetic-data
- Source: https://github.com/danielrosehill/Claude-Code-Plugins
- Type: plugin
- Category: data
- tashan score: 41.0 / 100
- Adoption: 7.0
- Upkeep: 82.0
- Freshness: 100.0
- Evidence coverage: 84% of the inputs this score can use
- Health: active
- Instruction depth: not yet graded
- Official: no

## Install

```sh
/plugin marketplace add danielrosehill/Claude-Code-Plugins
/plugin install synthetic-data@danielrosehill
```

## Security audit
Not scanned. We audit npm-published capabilities; this one has no npm package we can resolve, or has not reached the queue. This is not a clean bill of health.

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Measured 2026-08-05 by tashan (https://tashan.sh) from public evidence. Scorer s5.