gate-hardening

Automate production release gates with a 7-phase pytest-driven TDD process.

Updated Apr 8, 2026
One-click install
npx skills add https://github.com/bmsull560/Fabric_4L --skill gate-hardening
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gate-hardening
Source: https://github.com/bmsull560/Fabric_4L/tree/main/.windsurf/skills/gate-hardening
Command: npx skills add https://github.com/bmsull560/Fabric_4L --skill gate-hardening

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Build a machine-verifiable production release gate system using a structured, 7-phase TDD process. This approach ensures that codebases requiring ship/no-ship decision points for tenant isolation, state consistency, degraded dependencies, workflow smoke tests, agent provenance, or observability can achieve real, verifiable production readiness and replace fragile gate frameworks that create false confidence patterns.

Core Features & Use Cases

  • 7-phase release gate process (Purge false-confidence infra, Audit code for gate-relevant constructs, Write failing tests (TDD), Implement remediations until tests pass, Wire gates into CI and Makefile, Validate the full suite, Deliver results)
  • Pytest-driven single source of truth for gating with deterministic, reproducible results
  • Applies to tenant isolation, state consistency, degraded dependencies, workflow smoke tests, agent provenance, and observability scenarios
  • Easy CI integration guided by templates and standard Makefile targets
  • Provides auditable gate decisions and artifacts for compliance and traceability

Quick Start

Run the 7-phase gate-hardening workflow to validate production readiness for a given codebase.

Frequently Asked Questions about gate-hardening

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

FAQPage Schema
How do I set up automated release gates to block deployments when pytest tests fail?

Automated release gates use deterministic pytest-driven tests to block deployments when tests fail. You wire these gates into CI pipelines and Makefile targets, enforcing strict ship/no-ship exit criteria for safe releases.

What is a machine-verifiable production release gate and when do I need one?

A machine-verifiable production release gate is an automated checkpoint that blocks deployments if specific tests fail. You need one when your codebase requires deterministic ship/no-ship decisions for tenant isolation, state consistency, or observability.

How do I implement release gates for tenant isolation and state consistency using TDD?

Implement release gates for tenant isolation and state consistency using a 7-phase TDD process. You audit code for gate-relevant constructs, write failing tests, implement remediations until tests pass, and wire the gates into CI.

Can I integrate pytest release gates into my existing CI pipeline?

Yes, you can integrate pytest release gates into existing CI pipelines. The gate-hardening process wires deterministic tests into standard Makefile targets and CI templates, providing clear exit criteria to block releases automatically.

Does this release gate process work for validating degraded dependencies and workflow smoke tests?

Yes, this release gate process works for validating degraded dependencies and workflow smoke tests. It applies deterministic pytest-driven gates to these scenarios, ensuring verifiable production readiness and replacing fragile frameworks.

Why should I replace my current release gate framework with a TDD-driven approach?

Replace current release gate frameworks with a TDD-driven approach to eliminate false confidence patterns. The 7-phase process purges fragile infrastructure, providing auditable gate decisions and artifacts for compliance and traceability.