Can I use this for non-Nixtla projects?

While optimized for the Nixtla ecosystem, the validation pattern is generalizable and can be adapted to other projects by swapping the check catalog and validator commands.

Does this skill run automated tests?

Yes, the validator can optionally include behavioral checks and unit tests (via pytest) alongside its standard schema and structural validation gates.

What are the prerequisites for using this skill?

You will need Python 3.11+, specific repository validator scripts (like validate_skills_v2.py), and 'jq' for plugin-specific validation tasks.

What does the Nixtla Universal Validator do?

It runs a series of deterministic checks and tests to ensure Nixtla skills and plugins adhere to required schemas and behavioral standards, producing a detailed evidence report for auditing.

What files are generated after a validation run?

Each run creates a timestamped bundle containing a summary.json for machine reading, a report.md for human review, and raw logs for every executed check.

Nixtla Universal Validator

Name: Nixtla Universal Validator
Author: intent-solutions-io

byintent-solutions-io

Security & Testing

Validates Nixtla skills and plugins using deterministic evidence bundles and strict schema gates to ensure compliance and reliability.

About

The Nixtla Universal Validator is a specialized tool designed to audit and verify Nixtla-based plugins, skills, and repositories within Claude Code. It combines a multi-phase subagent workflow with a deterministic runner to produce comprehensive evidence bundles, including logs, JSON summaries, and markdown reports. By enforcing schema gates and executing behavioral tests, it ensures that changes to TimeGPT pipelines, model benchmarks, or FastAPI services meet strict architectural and compliance standards before deployment.

Key Features

Automated behavioral check integration via pytest and bash scripts
Multi-phase subagent workflow for human-readable analysis and reconciliation
Strict schema and structure validation for both skills and plugins
Deterministic validator runner for ground-truth logs and machine-readable summaries
0 GitHub stars
Timestamped evidence bundles containing reports, JSON data, and logs

Use Cases

Auditing repository changes for schema compliance and structural integrity
Generating deterministic evidence bundles for enterprise auditing requirements
Validating the behavior of Nixtla-based TimeGPT pipelines and FastAPI services

About

Key Features

Automated behavioral check integration via pytest and bash scripts
Multi-phase subagent workflow for human-readable analysis and reconciliation
Strict schema and structure validation for both skills and plugins
Deterministic validator runner for ground-truth logs and machine-readable summaries
0 GitHub stars
Timestamped evidence bundles containing reports, JSON data, and logs

Use Cases

Auditing repository changes for schema compliance and structural integrity
Generating deterministic evidence bundles for enterprise auditing requirements
Validating the behavior of Nixtla-based TimeGPT pipelines and FastAPI services