adversarial-tester

Name: adversarial-tester
Availability: InStock
Author: raddue

Generate up to five targeted tests to expose runtime failure modes in code implementations.

10|2|Updated Feb 23, 2026

Search Tags:#code quality #testing #debugging #robustness #failure modes #adversarial testing

Ready to run

npx skills add https://github.com/raddue/crucible --skill adversarial-tester

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: adversarial-tester
Source: https://github.com/raddue/crucible/tree/main/skills/adversarial-tester
Command: npx skills add https://github.com/raddue/crucible --skill adversarial-tester

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill proactively identifies potential runtime failures in new code implementations by generating targeted tests designed to break the code.

Core Features & Use Cases

Proactive Vulnerability Discovery: Writes up to 5 tests to expose unknown weaknesses, edge cases, and failure modes.
Runtime Attack Simulation: Simulates adversarial conditions to ensure code robustness before deployment.
Use Case: After implementing a new feature, use this Skill to generate tests that specifically target potential race conditions or invalid input scenarios that might not have been considered during standard development.

Quick Start

Use the adversarial-tester skill to find weaknesses in the latest implementation changes.

Frequently Asked Questions about adversarial-tester

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

FAQPage Schema

How do I find unknown failure modes in new code implementations?▼

To find unknown failure modes, you can generate up to five targeted tests that analyze implementation diffs and simulate adversarial runtime conditions like boundary cases. This exposes weaknesses and edge cases before deployment.

What is adversarial testing for code robustness?▼

Adversarial testing for code robustness is the process of simulating runtime attack vectors, such as race conditions and invalid inputs, to proactively uncover potential failures in new features before they reach production.

How do I generate tests for edge cases and boundary conditions?▼

You can generate tests for edge cases by analyzing implementation diffs to identify potential error paths and boundary conditions. The tool then writes focused tests specifically designed to expose those targeted weaknesses.

Do I need a specific model to run adversarial tests on code diffs?▼

Yes, you need the Opus model to run adversarial tests. It requires advanced reasoning capabilities to accurately analyze implementation diffs and identify complex failure modes like race conditions and invalid input scenarios.

How many tests are generated to uncover runtime attack vectors?▼

Up to five targeted tests are generated to uncover runtime attack vectors. These focused tests are specifically written to expose unknown weaknesses, edge cases, and failure modes in your code implementations.