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audit-support

Support SOX 404 compliance with control testing methodology, sample selection, and documentation standards

Install / Use

npx skills add anthropics/knowledge-work-plugins --skill audit-support

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

92/100

Category

Automation

Supported Platforms

Universal

Our assessment of audit-support

audit-support scores 92/100 on our quality scale, 474th of 1,411 Automation skills we index (top 34%).

Its SKILL.md is 16 KB long, well organised into 28 sections with 1 code example: a thorough specification that gives an agent plenty to work with.

With 25,526 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
30/30
Structure
17/20
Description
12/15
Adoption
19/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 2 days ago, so audit-support is actively maintained.
  • It is released under the Apache-2.0 license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

audit-support compared with similar skills

All 4 of these similar skills score higher than audit-support; compare them before choosing.

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audit-support (this skill)by anthropics9225.5k2d agoSKILL.md
Agent-Reachby Panniantong10085.5k11d agoCLAUDE.md
rufloby ruvnet10073.3k1d agoCLAUDE.md
Scraplingby D4Vinci10083.8ktodayMCP Server
algorithmic-artby anthropics100177.9k4d agoSKILL.md

Frequently asked questions

How do I install audit-support?
Run npx skills add anthropics/knowledge-work-plugins --skill audit-support. The install tabs above show the steps for each supported agent.
Which AI agents does audit-support work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is audit-support safe to use?
It is Apache-2.0-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is audit-support still maintained?
The repository was last updated 2 days ago, so audit-support is actively maintained.

name: audit-support description: Support SOX 404 compliance with control testing methodology, sample selection, and documentation standards. Use when generating testing workpapers, selecting audit samples, classifying control deficiencies, or preparing for internal or external audits. user-invocable: false

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:

  1. Scoping: Identify significant accounts and relevant assertions
  2. Risk assessment: Evaluate the risk of material misstatement for each significant account
  3. Control identification: Document the controls that address each risk
  4. Testing: Test the design and operating effectiveness of key controls
  5. Evaluation: Assess whether any deficiencies exist and their severity
  6. 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:

  1. Define the population (all transactions subject to the control during the period)
  2. Number each item in the population sequentially
  3. Use a random number generator to select sample items
  4. 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:

  1. 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
  2. Select items matching risk criteria
  3. 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:

  1. Select items without any specific pattern or bias
  2. Ensure selections are spread across the full population period
  3. 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:

  1. Calculate the sampling interval: Population size / Sample size
  2. Select a random starting point within the first interval
  3. 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:

  1. 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
  2. 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
  3. 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
  4. Conclusion:

    • Overall assessment (effective / deficiency / significant deficiency / material weakness)
    • Basis for conclusion
    • Impact assessment for any exceptions
    • Compensating controls considered (if applicable)
  5. 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 Assessment

Control 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:

  1. Identify all deficiencies in the same process or affecting the same assertion
  2. Evaluate whether the combined effect could result in a material misstatement
  3. Consider whether deficiencies in compensating controls exacerbate other deficiencies
  4. Document the aggregation analysis and conclusion

Remediation

For each identified deficiency:

  1. Root cause analysis: Why did the control fail? (design gap, execution failure, staffing, training, system issue)
  2. Remediation plan: Specific actions to fix the control (redesign, additional training, system enhancement, added review)
  3. Timeline: Target date for remediation completion
  4. Owner: Person responsible for implementing the remediation
  5. Validation: How and when the remediated control will be re-tested to confirm effectiveness

Common Control Types

IT General Controls (ITGCs)

Truncated for display — read the full file on GitHub.

Related Skills

View on GitHub
GitHub Stars25.5k
CategoryAutomation
Updated2d ago
Forks3.0k

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions