Audit Support
AnthropicOfficialPublished by Anthropic
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- Guidelines
- Business and productivity
- Apache-2.0
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AutoGineer summary
Written by AutoGineer from the skill’s own files, not by the author
This skill provides a structured framework for professionals to navigate SOX 404 compliance requirements. It covers the end-to-end process of internal control over financial reporting (ICFR), including scoping significant accounts, designing and testing controls, selecting audit samples, and classifying deficiencies. It emphasizes the importance of rigorous documentation standards and provides guidance on evaluating both manual and automated controls, as well as IT general controls (ITGCs). Note: This resource is for educational and procedural support and does not constitute professional audit or legal advice.
What it does
- Defines methodologies for scoping significant accounts and assessing risk.
- Provides guidance on selecting audit samples using random, targeted, haphazard, and systematic methods.
- Outlines documentation requirements for testing workpapers and evidence standards.
- Explains the classification of control deficiencies, significant deficiencies, and material weaknesses.
- Details testing approaches for manual, automated, and IT-dependent manual controls.
- Offers a framework for remediation planning and root cause analysis.
When to use it
- When preparing for internal or external SOX 404 audits.
- When designing or updating internal control testing workpapers.
- When determining appropriate sample sizes for control testing.
- When evaluating the severity of identified control deficiencies.
- When performing root cause analysis for failed controls.
Advantages
- Standardizes documentation and testing procedures across audit cycles.
- Provides clear criteria for evaluating control effectiveness and deficiency severity.
- Offers practical guidance on sample selection based on risk levels.
- Helps ensure that testing evidence meets professional standards.
- Clarifies the relationship between ITGCs and process-level controls.
Usage examples
- “What are the standard sample size guidelines for a weekly control with moderate risk?”
- The skill provides a table indicating that for a weekly control with moderate risk, a sample size of 8 is recommended.
- “How should I document a control deficiency?”
- The skill outlines the requirements for documenting the deficiency, including evaluation factors like likelihood and magnitude, and the process for root cause analysis and remediation.
- “What is the difference between design and operating effectiveness?”
- The skill explains that design effectiveness confirms the control is properly placed to address a risk, while operating effectiveness confirms the control functioned as intended during the period.
- “What evidence is considered sufficient for an audit workpaper?”
- The skill lists acceptable evidence such as system logs, signed approval documents, and re-performed calculations, while noting that verbal confirmation alone is insufficient.
Install
Download the skill as a ZIP:
https://autogineer.com/agent-skills/anthropics/audit-support/downloadUnzip it into the cross-client skills folder of your project:
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Documentation by Anthropic
Audit Support
Important: This skill assists with SOX compliance workflows but does not provide audit or legal advice. All testing workpapers and assessments should be reviewed by qualified financial professionals. While "significance" and "materiality" are context-specific concepts that are ultimately assessed by auditors, this skill is intended to assist professionals in the creation and evaluation of effective internal controls and documentation for audits.
SOX 404 control testing methodology, sample selection approaches, testing documentation standards, control deficiency classification, and common control types.
SOX 404 Control Testing Methodology
Overview
SOX Section 404 requires management to assess the effectiveness of internal controls over financial reporting (ICFR). This involves:
Scoping: Identify significant accounts and relevant assertions
Risk assessment: Evaluate the risk of material misstatement for each significant account
Control identification: Document the controls that address each risk
Testing: Test the design and operating effectiveness of key controls
Evaluation: Assess whether any deficiencies exist and their severity
Reporting: Document the assessment and any material weaknesses
Scoping Significant Accounts
An account is significant if there is more than a remote likelihood that it could contain a misstatement that is material (individually or in aggregate).
Quantitative factors:
Account balance exceeds materiality threshold (typically 3-5% of a key benchmark)
Transaction volume is high, increasing the risk of error
Account is subject to significant estimates or judgment
Qualitative factors:
Account involves complex accounting (revenue recognition, derivatives, pensions)
Account is susceptible to fraud (cash, revenue, related-party transactions)
Account has had prior misstatements or audit adjustments
Account involves significant management judgment or estimates
New account or significantly changed process
Relevant Assertions by Account Type
| Account Type | Key Assertions |
|---|---|
| Revenue | Occurrence, Completeness, Accuracy, Cut-off |
| Accounts Receivable | Existence, Valuation (allowance), Rights |
| Inventory | Existence, Valuation, Completeness |
| Fixed Assets | Existence, Valuation, Completeness, Rights |
| Accounts Payable | Completeness, Accuracy, Existence |
| Accrued Liabilities | Completeness, Valuation, Accuracy |
| Equity | Completeness, Accuracy, Presentation |
| Financial Close/Reporting | Presentation, Accuracy, Completeness |
Design Effectiveness vs Operating Effectiveness
Design effectiveness: Is the control properly designed to prevent or detect a material misstatement in the relevant assertion?
Evaluated through walkthroughs (trace a transaction end-to-end through the process)
Confirm the control is placed at the right point in the process
Confirm the control addresses the identified risk
Performed at least annually, or when processes change
Operating effectiveness: Did the control actually operate as designed throughout the testing period?
Evaluated through testing (inspection, observation, re-performance, inquiry)
Requires sufficient sample sizes to support a conclusion
Must cover the full period of reliance
Sample Selection Approaches
Random Selection
When to use: Default method for transaction-level controls with large populations.
Method:
Define the population (all transactions subject to the control during the period)
Number each item in the population sequentially
Use a random number generator to select sample items
Ensure no bias in selection (all items have equal probability)
Advantages: Statistically valid, defensible, no selection bias Disadvantages: May miss high-risk items, requires complete population listing
Targeted (Judgmental) Selection
When to use: Supplement to random selection for risk-based testing; primary method when population is small or highly varied.
Method:
Identify items with specific risk characteristics:
High dollar amount (above a defined threshold)
Unusual or non-standard transactions
Period-end transactions (cut-off risk)
Related-party transactions
Manual or override transactions
New vendor/customer transactions
Select items matching risk criteria
Document rationale for each targeted selection
Advantages: Focuses on highest-risk items, efficient use of testing effort Disadvantages: Not statistically representative, may over-represent certain risks
Haphazard Selection
When to use: When random selection is impractical (no sequential population listing) and population is relatively homogeneous.
Method:
Select items without any specific pattern or bias
Ensure selections are spread across the full population period
Avoid unconscious bias (don't always pick items at the top, round numbers, etc.)
Advantages: Simple, no technology required Disadvantages: Not statistically valid, susceptible to unconscious bias
Systematic Selection
When to use: When population is sequential and you want even coverage across the period.
Method:
Calculate the sampling interval: Population size / Sample size
Select a random starting point within the first interval
Select every Nth item from the starting point
Example: Population of 1,000, sample of 25 → interval of 40. Random start: item 17. Select items 17, 57, 97, 137, ...
Advantages: Even coverage across population, simple to execute Disadvantages: Periodic patterns in the population could bias results
Sample Size Guidance
| Control Frequency | Expected Population | Low Risk Sample | Moderate Risk Sample | High Risk Sample |
|---|---|---|---|---|
| Annual | 1 | 1 | 1 | 1 |
| Quarterly | 4 | 2 | 2 | 3 |
| Monthly | 12 | 2 | 3 | 4 |
| Weekly | 52 | 5 | 8 | 15 |
| Daily | ~250 | 20 | 30 | 40 |
| Per-transaction (small pop.) | < 250 | 20 | 30 | 40 |
| Per-transaction (large pop.) | 250+ | 25 | 40 | 60 |
Factors increasing sample size:
Higher inherent risk in the account/process
Control is the sole control addressing a significant risk (no redundancy)
Prior period control deficiency identified
New control (not tested in prior periods)
External auditor reliance on management testing
Testing Documentation Standards
Workpaper Requirements
Every control test should be documented with:
Control identification:
Control number/ID
Control description (what is done, by whom, how often)
Control type (manual, automated, IT-dependent manual)
Control frequency
Risk and assertion addressed
Test design:
Test objective (what you are trying to determine)
Test procedures (step-by-step instructions)
Expected evidence (what you expect to see if the control is effective)
Sample selection methodology and rationale
Test execution:
Population description and size
Sample selection details (method, items selected)
Results for each sample item (pass/fail with specific evidence examined)
Exceptions noted with full description
Conclusion:
Overall assessment (effective / deficiency / significant deficiency / material weakness)
Basis for conclusion
Impact assessment for any exceptions
Compensating controls considered (if applicable)
Sign-off:
Tester name and date
Reviewer name and date
Evidence Standards
Sufficient evidence includes:
Screenshots showing system-enforced controls
Signed/initialed approval documents
Email approvals with identifiable approver and date
System audit logs showing who performed the action and when
Re-performed calculations with matching results
Observation notes (with date, location, observer)
Insufficient evidence:
Verbal confirmations alone (must be corroborated)
Undated documents
Evidence without identifiable performer/approver
Generic system reports without date/time stamps
"Per discussion with [name]" without corroborating documentation
Working Paper Organization
Organize testing files by control area:
SOX Testing/
├── [Year]/
│ ├── Scoping and Risk Assessment/
│ ├── Revenue Cycle/
│ │ ├── Control Matrix
│ │ ├── Walkthrough Documentation
│ │ ├── Test Workpapers (one per control)
│ │ └── Supporting Evidence
│ ├── Procure to Pay/
│ ├── Payroll/
│ ├── Financial Close/
│ ├── Treasury/
│ ├── Fixed Assets/
│ ├── IT General Controls/
│ ├── Entity Level Controls/
│ └── Summary and Conclusions/
│ ├── Deficiency Evaluation
│ └── Management AssessmentControl Deficiency Classification
Deficiency
A deficiency in internal control exists when the design or operation of a control does not allow management or employees, in the normal course of performing their assigned functions, to prevent or detect misstatements on a timely basis.
Evaluation factors:
What is the likelihood that the control failure could result in a misstatement?
What is the magnitude of the potential misstatement?
Is there a compensating control that mitigates the deficiency?
Significant Deficiency
A deficiency, or combination of deficiencies, that is less severe than a material weakness yet important enough to merit attention by those charged with governance.
Indicators:
The deficiency could result in a misstatement that is more than inconsequential but less than material
There is more than a remote (but less than reasonably possible) likelihood of a material misstatement
The control is a key control and the deficiency is not fully mitigated by compensating controls
Combination of individually minor deficiencies that together represent a significant concern
Material Weakness
A deficiency, or combination of deficiencies, such that there is a reasonable possibility that a material misstatement of the financial statements will not be prevented or detected on a timely basis.
Indicators:
Identification of fraud by senior management (any magnitude)
Restatement of previously issued financial statements to correct a material error
Identification by the auditor of a material misstatement that would not have been detected by the company's controls
Ineffective oversight of financial reporting by the audit committee
Deficiency in a pervasive control (entity-level, IT general control) affecting multiple processes
Deficiency Aggregation
Individual deficiencies that are not significant individually may be significant in combination:
Identify all deficiencies in the same process or affecting the same assertion
Evaluate whether the combined effect could result in a material misstatement
Consider whether deficiencies in compensating controls exacerbate other deficiencies
Document the aggregation analysis and conclusion
Remediation
For each identified deficiency:
Root cause analysis: Why did the control fail? (design gap, execution failure, staffing, training, system issue)
Remediation plan: Specific actions to fix the control (redesign, additional training, system enhancement, added review)
Timeline: Target date for remediation completion
Owner: Person responsible for implementing the remediation
Validation: How and when the remediated control will be re-tested to confirm effectiveness
Common Control Types
IT General Controls (ITGCs)
Controls over the IT environment that support the reliable functioning of application controls and automated processes.
Access Controls:
User access provisioning (new access requests require approval)
User access de-provisioning (terminated users removed timely)
Privileged access management (admin/superuser access restricted and monitored)
Periodic access reviews (user access recertified on a defined schedule)
Password policies (complexity, rotation, lockout)
Segregation of duties enforcement (conflicting access prevented)
Change Management:
Change requests documented and approved before implementation
Changes tested in a non-production environment before promotion
Separation of development and production environments
Emergency change procedures (documented, approved post-implementation)
Change review and post-implementation validation
IT Operations:
Batch job monitoring and exception handling
Backup and recovery procedures (regular backups, tested restores)
System availability and performance monitoring
Incident management and escalation procedures
Disaster recovery planning and testing
Manual Controls
Controls performed by people using judgment, typically involving review and approval.
Examples:
Management review of financial statements and key metrics
Supervisory approval of journal entries above a threshold
Three-way match verification (PO, receipt, invoice)
Account reconciliation preparation and review
Physical inventory observation and count
Vendor master data change approval
Customer credit approval
Key attributes to test:
Was the control performed by the right person (proper authority)?
Was it performed timely (within the required timeframe)?
Is there evidence of the review (signature, initials, email, system log)?
Did the reviewer have sufficient information to perform an effective review?
Were exceptions identified and appropriately addressed?
Automated Controls
Controls enforced by IT systems without human intervention.
Examples:
System-enforced approval workflows (cannot proceed without required approvals)
Three-way match automation (system blocks payment if PO/receipt/invoice don't match)
Duplicate payment detection (system flags or blocks duplicate invoices)
Credit limit enforcement (system prevents orders exceeding credit limit)
Automated calculations (depreciation, amortization, interest, tax)
System-enforced segregation of duties (conflicting roles prevented)
Input validation controls (required fields, format checks, range checks)
Automated reconciliation matching
Testing approach:
Test design: Confirm the system configuration enforces the control as intended
Test operating effectiveness: For automated controls, if the system configuration has not changed, one test of the control is typically sufficient for the period (supplemented by ITGC testing of change management)
Verify change management ITGCs are effective (if system changed, re-test the control)
IT-Dependent Manual Controls
Manual controls that rely on the completeness and accuracy of system-generated information.
Examples:
Management review of a system-generated exception report
Supervisor review of a system-generated aging report to assess reserves
Reconciliation using system-generated trial balance data
Approval of transactions identified by a system-generated workflow
Testing approach:
Test the manual control (review, approval, follow-up on exceptions)
AND test the completeness and accuracy of the underlying report/data (IPE — Information Produced by the Entity)
IPE testing confirms the data the reviewer relied on was complete and accurate
Entity-Level Controls
Broad controls that operate at the organizational level and affect multiple processes.
Examples:
Tone at the top / code of conduct
Risk assessment process
Audit committee oversight of financial reporting
Internal audit function and activities
Fraud risk assessment and anti-fraud programs
Whistleblower/ethics hotline
Management monitoring of control effectiveness
Financial reporting competence (staffing, training, qualifications)
Period-end financial reporting process (close procedures, GAAP compliance reviews)
Significance:
Entity-level controls can mitigate but typically cannot replace process-level controls
Ineffective entity-level controls (especially audit committee oversight and tone at the top) are strong indicators of a material weakness
Effective entity-level controls may reduce the extent of testing needed for process-level controls
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Requirements and compatibility
Written for: Claude Code, Claude apps
Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta
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Needs: Claude Code frontmatter
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- anthropics/knowledge-work-plugins · finance/skills/audit-support · commit e050c2e
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