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sdd-verify

Run automated AI validation checks and generate a verify-report.md with PASS/WARN/CRITICAL verdicts.

Updated Feb 20, 2026
Search Tags:#testing#verification#ai#quality#report#pyramid
One-click install
npx skills add https://github.com/jota-batuta/batuta-dots --skill sdd-verify-jota-batuta
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: sdd-verify
Source: https://github.com/jota-batuta/batuta-dots/tree/main/BatutaClaude/skills/sdd-verify
Command: npx skills add https://github.com/jota-batuta/batuta-dots --skill sdd-verify-jota-batuta

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Quickly and reliably verify AI-driven changes against specs, design, documentation, and operational readiness to catch gaps before deployment.

Core Features & Use Cases

  • Layered validation across the AI Validation Pyramid: type checking, linting, builds, unit and integration tests, documentation checks, security, and observability.
  • Generates a comprehensive verify-report.md and an archive-ready artifact bundle for auditing and governance.
  • Produces executive summaries and detailed findings suitable for non-technical stakeholders.

Quick Start

Run sdd-verify on the changed files to generate a comprehensive verify-report.md and a production-ready operational assessment.

Frequently Asked Questions about sdd-verify

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

FAQPage Schema
How do I automate code validation checks across the full testing pyramid for AI-driven changes?▼

Automated code validation checks across the testing pyramid are performed by applying layered analysis to lint, type checks, builds, unit tests, integration tests, documentation, and security to produce an auditable health report.

What is an AI validation pyramid check and when do I need it for deployment readiness?▼

An AI validation pyramid check is a comprehensive assessment across linting, testing, security, and observability layers. It is needed to catch verification gaps in code changes before deployment to ensure operational readiness.

How do I generate an auditable health report with PASS, WARN, and CRITICAL verdicts for my code?▼

To generate an auditable health report with verdicts, run automated validation against your code changes to produce a verify-report.md file containing executive summaries, detailed findings, and business impact explanations.

Can I use automated validation checks to produce governance artifacts for non-technical stakeholders?▼

Yes, automated validation checks produce an archive-ready artifact bundle and a verify-report.md containing executive summaries and detailed findings suitable for governance review by non-technical stakeholders.

Does this automated verification tool work without external dependencies or component installations?▼

Yes, this automated verification tool operates with zero external dependencies or component installations, running directly on changed files to perform the full validation pyramid assessment and generate the health report.

What is the best way to verify operational readiness and security for AI-generated code modifications?▼

The best way to verify operational readiness for AI-generated modifications is applying layered validation across security, observability, documentation, and testing tiers to assign impact verdicts and export an archive-ready artifact.

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