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system-test

Audit codebases across configurable domains with interactive review and JSONL findings.

Updated Feb 24, 2026
Search Tags:#audit#reporting#code-quality#interactive-review#system-test#domain-audit
One-click install
npx skills add https://github.com/jasonmichaelbell78-creator/framework --skill system-test-jasonmichaelbell78-creator
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: system-test
Source: https://github.com/jasonmichaelbell78-creator/framework/tree/main/.claude/skills/system-test
Command: npx skills add https://github.com/jasonmichaelbell78-creator/framework --skill system-test-jasonmichaelbell78-creator

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Audits complex codebases across configurable domains with structured findings and guided remediation.

Core Features & Use Cases

  • Interactive multi-domain audits with per-finding recommendations and counterarguments.
  • Checkpointable, multi-session workflow that recovers from partial results.
  • Self-audit domain verification and unified reporting.

Quick Start

Run a fresh system audit to scan the repository across predefined domains with interactive review.

Frequently Asked Questions about system-test

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

FAQPage Schema
How do I run an interactive codebase audit across multiple domains?▼

Run a fresh system audit to scan the repository across predefined configurable domains with interactive review. This generates per-finding recommendations and structured severity reports for large codebases.

What is a JSONL findings schema for code quality reporting?▼

A JSONL findings schema provides structured per-finding presentation for code quality audits, capturing severity and effort fields. This format supports checkpointable sessions and recovery workflows during multi-domain system audits.

Can I resume a partial system audit if the session is interrupted?▼

You can resume a partial system audit using the checkpointable multi-session workflow that recovers from partial results. This recovery workflow ensures no audit progress is lost when scanning large codebases across configurable domains.

How do I verify domain accuracy when auditing a large codebase?▼

Verify domain accuracy by running the self-audit domain verification feature during the system audit. This validates the domain checks and produces unified reporting with per-finding recommendations and counterarguments.

Does this system audit tool provide per-finding recommendations?▼

The system audit provides per-finding recommendations and counterarguments during the interactive review process. Each finding includes severity and effort fields within the JSONL schema for comprehensive structured reporting.

What's the best way to generate structured reports for code quality audits?▼

Generate structured reports by completing an interactive multi-domain system audit with per-finding presentation. The resulting unified reporting captures severity, effort, and JSONL findings schema data for comprehensive codebase analysis.

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