verify-issue-loop

Generate finite-state machine verification loops for software issues.

7|2|Updated Jan 3, 2026
One-click install
npx skills add https://github.com/BrennonTWilliams/little-loops --skill verify-issue-loop
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: verify-issue-loop
Source: https://github.com/BrennonTWilliams/little-loops/tree/main/.gemini/skills/verify-issue-loop
Command: npx skills add https://github.com/BrennonTWilliams/little-loops --skill verify-issue-loop

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill eliminates the manual effort of creating verification harnesses for software features, ensuring that every issue is rigorously tested against its acceptance criteria or adversarial probes.

Core Features & Use Cases

  • Criteria Mode: Automatically generates a fail-fast FSM loop that validates each acceptance criterion of an issue in sequence.
  • Adversarial Mode: Creates a robust probing loop that tests for boundary conditions, malformed inputs, and failure modes to ensure feature resilience.
  • Use Case: When a developer completes a new feature, they can use this skill to instantly generate a self-verifying loop that confirms the implementation meets all requirements or survives hostile input testing.

Quick Start

Use the verify-issue-loop skill to generate an adversarial verification loop for issue FEAT-919.

Frequently Asked Questions about verify-issue-loop

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

FAQPage Schema
How do I automate FSM verification loops for software issues?

You can automate FSM verification loops by generating structured YAML harnesses that validate implementation conformance against acceptance criteria or adversarial probing strategies. This requires integration with issue tracking systems and local filesystem access to write and validate loop configurations.

How do I generate a fail-fast verification loop for issue acceptance criteria?

To generate a fail-fast verification loop for acceptance criteria, use the criteria mode to automatically create an FSM loop that validates each acceptance criterion of an issue in sequence. This ensures every issue is rigorously tested against its defined requirements.

Can I test boundary conditions and malformed inputs using automated verification loops?

Yes, you can test boundary conditions and malformed inputs by using adversarial mode to create a robust probing loop. This mode tests for failure modes and ensures feature resilience against hostile inputs during software verification.

What is the best way to verify feature robustness against edge cases after development?

The best way to verify feature robustness against edge cases is to instantly generate a self-verifying FSM loop using adversarial probing strategies. This approach automatically tests for boundary conditions and failure modes to ensure implementation resilience.

Do I need issue tracking system integration to run automated verification harnesses?

Yes, issue tracking system integration is required to run automated verification harnesses. You also need local filesystem access to write and validate the structured YAML loop configurations generated for your software issues.

When should I not use automated finite-state machine verification for testing?

You should avoid automated finite-state machine verification if your environment lacks issue tracking system integration or local filesystem access. The verification harness generation requires writing and validating structured YAML configurations locally to function properly.