gsd-eval-review

Audit AI phase evaluation coverage and generate an actionable EVAL-REVIEW.md.

Updated Apr 22, 2026
One-click install
npx skills add https://github.com/hadpadrahul/school-erp --skill gsd-eval-review
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gsd-eval-review
Source: https://github.com/hadpadrahul/school-erp/tree/main/.codex/skills/gsd-eval-review
Command: npx skills add https://github.com/hadpadrahul/school-erp --skill gsd-eval-review

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Retroactively auditing an executed AI phase's evaluation coverage to identify gaps and deliver an actionable remediation plan.

Core Features & Use Cases

  • Scores each evaluation dimension as COVERED, PARTIAL, or MISSING.
  • Generates an EVAL-REVIEW.md with a remediation plan to close gaps.
  • Supports post-mortem AI evaluation reviews across multiple phases and strategies.

Quick Start

Invoke the eval-review workflow on the completed AI phase to produce an actionable EVAL-REVIEW.md with remediation steps.

Frequently Asked Questions about gsd-eval-review

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

FAQPage Schema
What is AI evaluation coverage and why do I need an audit?

AI evaluation coverage audits retroactively assess executed AI phases to identify quality governance gaps. You need this audit to ensure all evaluation dimensions meet defined rubrics and to produce an actionable remediation plan for governance review.

How do I generate a remediation plan for missing AI evaluation dimensions?

To generate a remediation plan, invoke an eval-review workflow on the completed AI phase. It scores each evaluation dimension as COVERED, PARTIAL, or MISSING, then summarizes gaps and remediation steps into an actionable EVAL-REVIEW.md file.

Can I conduct a post-mortem AI evaluation review across multiple phases?

Yes, you can conduct post-mortem AI evaluation reviews across multiple phases and strategies. The review process evaluates evaluation coverage against a defined rubric, generating a clear and actionable remediation plan for each phase.

What is the best way to document AI evaluation gaps for governance review?

The best way to document AI evaluation gaps for governance review is generating an EVAL-REVIEW.md file. This format scores evaluation coverage, summarizes identified gaps, and outlines actionable remediation steps suitable for formal governance evaluation.

Does the AI evaluation audit require any specific dependencies or components?

No, the AI evaluation audit requires no specific dependencies or components. You simply invoke the eval-review workflow on the completed AI phase to produce the actionable EVAL-REVIEW.md file with remediation steps.