live-validation

Validate Athena API calls and behavioral work against live data.

Updated Jul 5, 2026
One-click install
npx skills add https://github.com/harrymcdonagh/athena --skill live-validation
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: live-validation
Source: https://github.com/harrymcdonagh/athena/tree/main/.claude/skills/live-validation
Command: npx skills add https://github.com/harrymcdonagh/athena --skill live-validation

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill unit ensures the accuracy and validation of external API calls and behavioral work within the Athena platform, preventing costly errors and maintaining high-quality results.

Core Features & Use Cases

  • API Call Validation: Ensures all external API calls are validated against the live corpus, not just mocked versions.
  • Behavioral Work Validation: Validates behavioral work twice, checking for both defect clearance and neighboring legitimate outcomes.
  • Mocked Build Process: Encourages a "mocked build → review → live swap" process to reduce risk and improve reliability.
  • Tuning Retrieval Knobs: Provides guidelines for safely tuning retrieval constants with clear before/after evidence.

Quick Start

Use the live-validation skill before any change to Athena's API calls or behavioral work, following the 'mocked build → review → live swap' and 'live-validate-twice' protocols.

Frequently Asked Questions about live-validation

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

FAQPage Schema
How do I validate API calls against live data in Athena?

To validate API calls in Athena, use the 'mocked build → review → live swap' process to verify external API calls against the live corpus rather than just mocked versions, ensuring accuracy before deployment.

What is the best way to test behavioral work for accuracy and reliability?

Behavioral work validation requires testing twice to check for both defect clearance and neighboring legitimate outcomes, preventing costly errors and maintaining high-quality results within the Athena platform.

How do I safely tune retrieval constants in Athena?

Tuning retrieval constants safely requires following specific validation protocols that provide clear before and after evidence, ensuring changes do not disrupt the accuracy of external API calls or behavioral work.

Does API validation require mock testing before live deployment?

Yes, API validation requires adhering to specific validation protocols and mock testing before live deployment to reduce risk, prevent costly errors, and improve overall reliability in the Athena platform.

Why should I use a mocked build process before swapping to live data?

A mocked build process reduces deployment risk by allowing a thorough review phase before the live swap, ensuring external API calls and behavioral work are verified for accuracy and reliability without causing live errors.