Agent skill
audit-support-random-selection
Sub-skill of audit-support: Random Selection (+4).
Install this agent skill to your Project
npx add-skill https://github.com/vamseeachanta/workspace-hub/tree/main/.claude/skills/_archive/business/finance/audit-support/random-selection
SKILL.md
Random Selection (+4)
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
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