jarvis-validate

Validate JaRVIS data directory journals, memories, identity fields, and growth logs.

8|1|Updated Mar 11, 2026

Search Tags:#validation #memory #journal #data-integrity #identity #jarvis

Ready to run

npx skills add https://github.com/epicrunze/JaRVIS --skill jarvis-validate

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: jarvis-validate
Source: https://github.com/epicrunze/JaRVIS/tree/main/skills/jarvis-validate
Command: npx skills add https://github.com/epicrunze/JaRVIS --skill jarvis-validate

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill helps you verify that your JaRVIS data directory is well-formed and complete, catching missing sections and malformed entries before they cause issues.

Core Features & Use Cases

Validate journals, memories (Consolidated and Recent), identity keys, and growth logs for proper frontmatter, required sections, and formatting.
Run automated health checks across the data directory to surface issues and guidance on fixes.
Use during setup or CI to ensure JaRVIS artifacts stay healthy and consistent.

Quick Start

Run the validation workflow against your JaRVIS directory using the included scripts: bash scripts/validate.sh $JARVIS_DIR

Frequently Asked Questions about jarvis-validate

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I validate JaRVIS data directory health and formatting?▼

Validate JaRVIS data directory health by running automated checks across journals, memories, and identity fields to enforce required frontmatter, section presence, and table structures. The scripts surface formatting issues and guide fixes to prevent broken data entries.

What causes broken memories or journals in a JaRVIS project?▼

Broken memories or journals in a JaRVIS project are caused by missing required sections, malformed entries, and invalid version formats. Validating the data directory identifies these formatting issues and enforces required frontmatter to prevent data corruption.

Can I run JaRVIS data validation in CI pipelines?▼

Yes, you can run JaRVIS data validation in CI pipelines to ensure artifacts stay healthy and consistent. Execute the included validation scripts against your JaRVIS directory to automate health checks and catch missing sections before deployment.

Does JaRVIS validation check both Consolidated and Recent memories?▼

JaRVIS validation checks both Consolidated and Recent memories along with journals, identity keys, and growth logs. It enforces required frontmatter, section presence, table structures, and version formats across the entire data directory.

What is the best way to fix malformed identity entries in JaRVIS?▼

The best way to fix malformed identity entries in JaRVIS is to run the validation workflow, which surfaces specific formatting issues and provides guidance on fixes. It enforces required frontmatter and section presence across identity fields.

What are the limitations of automated JaRVIS data integrity checks?▼

Automated JaRVIS data integrity checks are limited to validating structural formatting, required frontmatter, section presence, and table structures. They enforce version formats and guide fixes but apply only to artifacts within the JaRVIS data directory.