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incident-to-regression

Convert Gait incident artifacts into deterministic regression fixtures and JUnit evidence.

12|5|Updated Feb 5, 2026
Search Tags:#testing#regression#reproducibility#ci#incident#gait
One-click install
npx skills add https://github.com/davidahmann/gait --skill incident-to-regression
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: incident-to-regression
Source: https://github.com/davidahmann/gait/tree/main/.agents/submissions/anthropic/incident-to-regression
Command: npx skills add https://github.com/davidahmann/gait --skill incident-to-regression

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill transforms incident artifacts into repeatable regression tests and CI-ready outputs, enabling faster debugging and more robust AI agent development.

Core Features & Use Cases

  • Incident Reproduction: Create deterministic regression fixtures from incident run data.
  • CI Integration: Generate JUnit evidence for automated testing pipelines.
  • Use Case: When an AI agent fails in production, use this Skill to quickly generate a test case that reproduces the failure, allowing developers to fix it and prevent recurrence.

Quick Start

Use the incident-to-regression skill to convert the incident run identified by 'run_demo' into regression fixtures within the './regress-workdir' directory.

Frequently Asked Questions about incident-to-regression

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

FAQPage Schema
How do I convert incident artifacts into regression tests for repeatable failure reproduction?▼

Generating JUnit evidence from incident run data requires converting Gait artifacts into CI-ready outputs. The process applies automated grading to validate incident artifacts and outputs structured JUnit evidence for testing pipelines.

Can I generate JUnit evidence from incident run data for CI integration?▼

Generating JUnit evidence from incident run data requires converting Gait artifacts into CI-ready outputs. The process applies automated grading to validate incident artifacts and outputs structured JUnit evidence for testing pipelines.

Do I need the Gait CLI installed to create deterministic regression fixtures from incidents?▼

To set up regression fixtures from an incident run, identify the specific run and target a working directory. Execute the conversion to process the incident artifacts and generate the regression fixtures within that specified directory path.

How do I set up regression fixtures from an incident run in a specific working directory?▼

To set up regression fixtures from an incident run, identify the specific run and target a working directory. Execute the conversion to process the incident artifacts and generate the regression fixtures within that specified directory path.

What are the limitations when transforming AI agent incidents into CI-ready regression outputs?▼

Creating deterministic regression fixtures from incident artifacts produces repeatable test cases for automated grading. This result enables faster debugging and prevents AI agent failure recurrence by providing consistent reproduction evidence.

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