A high-performance CLI tool for generating, managing, and exporting reproducible test data fixtures using schema-based templates.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install fixture
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install fixture using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Fixture — Test Data Fixture Generator?
Fixture is a robust solution designed for developers who need consistent, high-quality test data. As a specialized addition to the Openclaw Skills ecosystem, it allows for the creation of complex datasets from templates with seeded randomness. This ensures that every developer on a team can generate identical mock records, leading to more predictable and reproducible test environments across the entire development lifecycle.
By leveraging Python-based logic and a simple bash interface, Fixture bridges the gap between static seed files and dynamic data generation. Whether you are building local dev environments or populating CI/CD pipelines, this tool provides the structure needed to manage fixture data, templates, and multi-format exports efficiently.
Fixture — Test Data Fixture Generator Use Cases
- Creating reproducible seed data for local development environments.
- Generating large-scale mock datasets for performance and load testing.
- Exporting consistent test data into SQL, CSV, or JSON formats for cross-platform compatibility.
- Validating existing datasets against strict schema definitions to ensure data integrity.
- Resetting and repopulating databases quickly during automated testing cycles.
How Fixture — Test Data Fixture Generator Works
- Define a data schema using the template command to specify field types like strings, emails, or integers.
- Generate fixture records using the seed command, applying a specific seed value to ensure randomness is reproducible.
- Store and manage the generated records within the local JSONL-based data store.
- Validate the stored fixtures against their original schemas to maintain data quality.
- Export the finalized datasets into the required format (SQL, CSV, JSON) for use in external databases or applications.
Fixture — Test Data Fixture Generator Setup
To integrate this tool into your Openclaw Skills workflow, ensure you have Python 3.8+ and a bash shell. Follow these steps:
# Ensure the scripts directory is accessible
chmod +x scripts/script.sh
# Initialize the data storage directory
mkdir -p ~/.fixture/
# Verify installation
bash scripts/script.sh version
Fixture — Test Data Fixture Generator Data Schema & Taxonomy
The tool organizes data locally to ensure fast access and easy portability. The following storage structure is used:
| Component | Path | Format |
|---|---|---|
| Fixture Store | ~/.fixture/data.jsonl |
JSON Lines |
| Template Store | ~/.fixture/templates.json |
JSON |
Supported field types in schemas include:
string,email,uuid,bool,dateint:min-max(e.g.,int:18-65)float:min-max(e.g.,float:0.0-1.0)
Fixture — Test Data Fixture Generator Advanced Features
- Seeded Randomness: Guarantees identical output across different machines when the same seed is used.
- Multi-format Export: Generate native SQL INSERT statements, CSV rows, or JSON objects.
- Bulk Loading: Import existing data from external JSON or CSV files directly into the fixture lifecycle.
- Schema Validation: A dedicated validation engine to check if manually created fixtures adhere to template rules.
- Targeted Resets: Ability to clear specific data categories without affecting the entire store.
SKILL.md
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