instrument-data-to-all…
Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D…
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.
Claude Code
$ npx -y skills add anthropics/knowledge-work-plugins --skill audit-support --agent claude-code
Codex
$ npx skills add anthropics/knowledge-work-plugins --skill audit-support -a codex -y
Cursor
$ npx skills add anthropics/knowledge-work-plugins --skill audit-support -a cursor -y
Gemini CLI
$ npx skills add anthropics/knowledge-work-plugins --skill audit-support -a gemini-cli -y
GitHub Copilot
$ npx skills add anthropics/knowledge-work-plugins --skill audit-support -a github-copilot -y
OpenCode
$ npx skills add anthropics/knowledge-work-plugins --skill audit-support -a opencode -y
Windsurf
$ npx skills add anthropics/knowledge-work-plugins --skill audit-support -a windsurf -y
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
**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 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
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:**
**Qualitative factors:**
| 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:** Is the control properly designed to prevent or detect a material misstatement in the relevant assertion?
**Operating effectiveness:** Did the control actually operate as designed throughout the testing period?
**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
**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:
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
**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
**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:**
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