audit-support

Generate SOX 404 control testing workpaper outlines with sampling rationale.

Updated Apr 8, 2026
One-click install
npx skills add https://github.com/sun2443/designer-skills --skill audit-support-sun2443
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: audit-support
Source: https://github.com/sun2443/designer-skills/tree/main/finance/skills/audit-support
Command: npx skills add https://github.com/sun2443/designer-skills --skill audit-support-sun2443

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps you design and document SOX 404 internal control testing in a way that is consistent, auditable, and aligned to common compliance expectations.

Core Features & Use Cases

  • Control testing methodology: guidance for scoping significant accounts, identifying controls, and assessing design vs. operating effectiveness.
  • Risk-based sample selection: practical approaches including random, targeted (judgmental), systematic, and haphazard sampling with sample size guidance.
  • Workpaper and evidence standards: clear documentation requirements, sufficient vs. insufficient evidence examples, and suggested organization of testing files.
  • Deficiency classification support: frameworks for deficiency, significant deficiency, and material weakness evaluation plus aggregation and remediation planning.

Real-world use case: preparing SOX 404 test workpapers for a quarter by selecting samples for a revenue-cycle control, documenting exceptions with evidence, and concluding on effectiveness.

Quick Start

Use the audit-support skill to generate a complete SOX 404 control testing workpaper outline for a specified control, including sampling rationale, evidence expectations, and a deficiency classification template.

Frequently Asked Questions about audit-support

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

FAQPage Schema
How do I document SOX 404 control testing workpapers for external audits?▼

SOX 404 control testing workpapers require structured, evidence-based documentation covering scoping, design versus operating effectiveness, sample selection rationale, and deficiency evaluation criteria. You must include sufficient evidence examples and organize testing files to meet external audit expectations.

What is the best way to select audit samples for SOX compliance testing?▼

Risk-based sample selection for SOX compliance involves choosing between random, targeted, systematic, and haphazard sampling methods. You must document the sample selection method and rationale, applying sample size guidance based on the specific control's risk profile.

How do you classify control deficiencies during SOX 404 testing?▼

Control deficiency classification evaluates identified exceptions against frameworks for deficiency, significant deficiency, and material weakness. You must apply deficiency aggregation rules and prepare remediation planning documentation to support the final effectiveness conclusion.

What do I need to prepare SOX 404 testing documentation for a revenue-cycle control?▼

Preparing SOX 404 testing documentation requires identifying significant accounts, scoping relevant controls, and assessing design versus operating effectiveness. You need to generate a complete workpaper outline including sampling rationale, evidence expectations, and a deficiency classification template.

What distinguishes design effectiveness from operating effectiveness in SOX 404 audit documentation?▼

Design effectiveness assesses whether a control is properly built to mitigate risk, while operating effectiveness verifies it functions consistently over time. SOX 404 audit documentation must capture both assessments distinctly within the testing workpapers.

When should I use targeted sampling versus haphazard sampling for control testing?▼

Targeted sampling selects specific high-risk items based on judgment, while haphazard sampling extracts items without deliberate bias. Use targeted sampling for controls with identified risk factors, and haphazard sampling when testing populations lack predictable risk patterns.