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skill-integration-tester

Validate multi-skill workflows in CLAUDE.md for skill existence and data contracts.

2|Updated Mar 4, 2026
Search Tags:#workflow#ci/cd#integration testing#python#validation#data contracts
One-click install
npx skills add https://github.com/Fabio29T/Trading-Skills --skill skill-integration-tester
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skill-integration-tester
Source: https://github.com/Fabio29T/Trading-Skills/tree/main/skills/skill-integration-tester
Command: npx skills add https://github.com/Fabio29T/Trading-Skills --skill skill-integration-tester

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill ensures that complex multi-skill workflows function correctly by validating the connections and data contracts between individual skills, preventing silent failures in your AI agent's processes.

Core Features & Use Cases

  • Workflow Validation: Checks if all skills in a defined workflow exist and are accessible.
  • Data Contract Verification: Ensures that the output format of one skill correctly matches the input requirements of the next skill in the sequence.
  • File Naming Convention Checks: Enforces consistent naming for scripts and output files.
  • Use Case: Before deploying a new AI agent workflow that combines market analysis, trade execution, and reporting skills, use this tester to confirm that the data passed between each step is compatible and that all skills are correctly referenced.

Quick Start

Run the integration validation script against your CLAUDE.md file.

Frequently Asked Questions about skill-integration-tester

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

FAQPage Schema
How do I validate data contracts between AI agent skills in a workflow?▼

To validate data contracts between AI agent skills, you can run an integration validation script against your CLAUDE.md file to check JSON schema compatibility and ensure output formats match downstream input requirements.

Can I perform a dry-run of multi-skill workflows before deployment?▼

Yes, you can perform a dry-run of multi-skill workflows using synthetic fixtures to verify pipeline health, check handoff integrity, and confirm file naming conventions before release.

Why does my multi-skill workflow fail silently when passing data between steps?▼

Multi-skill workflows fail silently when data contracts are mismatched. Validating inter-skill JSON schema compatibility and ensuring correct skill existence references prevents these silent failures in CI/CD pipelines.

Does this integration tester work with Python workflows defined in CLAUDE.md?▼

Yes, this integration tester works with Python workflows defined in CLAUDE.md by validating skill existence, checking data contracts, enforcing file naming conventions, and verifying handoff integrity.

What is the best way to check inter-skill data contract compatibility for CI/CD pipelines?▼

The best way to check inter-skill data contract compatibility is to validate JSON schema matching between sequential skills in your CLAUDE.md workflow, ensuring output formats align with input requirements before release.

How do I enforce consistent file naming conventions across multiple AI agent skills?▼

To enforce consistent file naming conventions across multiple AI agent skills, use a workflow validation script to check your CLAUDE.md definitions and verify that all scripts and output files meet your specified naming standards.

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