A specialized tool for transforming product requirements into detailed, complexity-based test effort estimates and Excel reports.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install test-effort-estimator
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install test-effort-estimator using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Test Effort Estimator?
The Test Effort Estimator is a robust tool within the Openclaw Skills ecosystem designed to bring mathematical precision to QA resource planning. It analyzes product requirements, breaks them down into functional modules, and applies industry-standard complexity tiers to estimate person-days for case design, execution, retesting, and regression. This skill ensures that project managers and QA leads have a clear, data-driven view of their testing lifecycle.
By automating the breakdown of user stories and the application of estimation formulas, this skill reduces the manual overhead of planning. It provides a systematic framework that accounts for diverse interaction paths and data dependencies, ultimately exporting all findings into a professional Excel format for easy team sharing.
Test Effort Estimator Use Cases
- Estimating QA bandwidth for upcoming product feature releases.
- Providing detailed resource breakdowns for project stakeholders.
- Standardizing effort estimation across different testing teams.
- Generating audit-ready Excel documentation for testing workflows.
How Test Effort Estimator Works
- Requirement Analysis: The skill reads product requirements to identify functional modules and complexity levels.
- Decomposition: It breaks down requirements into specific test items, such as system operations and user workflows.
- Effort Calculation: It applies pre-defined formulas for case design and execution based on three complexity tiers (Simple, Medium, Complex).
- Documentation: The system rounds all values to two decimals and validates them against strict estimation constraints.
- Reporting: A bundled Python script generates a comprehensive Excel report containing all estimates and rationales.
Test Effort Estimator Setup
To begin using this skill within Openclaw Skills, ensure your environment is prepared:
# Navigate to the skill directory
cd test-effort-estimator
# Install required Python libraries for reporting
pip install pandas openpyxl
# Review the complexity reference documentation
cat references/complexity-standards.md
Test Effort Estimator Data Schema & Taxonomy
The skill maintains a rigorous data structure to ensure consistency across reports:
| Data Point | Metadata Detail | Constraint |
|---|---|---|
| Requirement Title | Name of the feature or module | String |
| Case Design | Time allocated for test writing | 0.20 - 0.50 person-days |
| Execution Phases | First run, retest, and regression times | Min 0.10 person-days |
| Rationale | Logic behind the complexity classification | String |
| Total Effort | Aggregated person-days | Rounded to 2 decimals |
Test Effort Estimator Advanced Features
- Integrated complexity-based standards for Simple (0.2-0.3), Medium (0.35-0.4), and Complex (0.5) features.
- Automated Excel reporting via the generate_excel.py script.
- High-precision constraint validation ensuring total estimation error stays within 0.5 person-days.
- Customizable formula documentation for retest and regression phase adjustments.
SKILL.md
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