A sophisticated analytical tool that validates the authenticity of product requirements using multi-dimensional data to prevent resource waste.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install requirement-validator
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 requirement-validator 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 Requirement Validator?
Requirement Validator is a data-centric tool designed to help product teams and developers distinguish between high-value features and low-impact 'fake' requirements. As part of the Openclaw Skills ecosystem, it leverages actual user feedback and market data to provide an objective score for any proposed feature or change.
By quantifying user consistency, frequency, and competitor coverage, this skill provides a rigorous framework for product decision-making. It ensures that development efforts are strictly aligned with real user needs and business ROI, transforming subjective opinions into actionable, data-backed recommendations.
Requirement Validator Use Cases
- Analyzing raw user feedback CSV files to identify recurring pain points.
- Evaluating the competitive necessity of a feature against existing market solutions.
- Prioritizing product roadmaps by scoring requirements based on their potential impact and cost.
- Filtering out vocal minority requests that don't reflect the broader user base's needs.
How Requirement Validator Works
- The user provides a requirement description and a dataset (CSV or text-based feedback).
- The skill parses the input data to identify patterns related to the specific requirement.
- It applies a weighted analysis across six dimensions: consistency, frequency, impact, competitor coverage, alternatives, and ROI.
- The system calculates a final score from 0 to 100 based on the configured weights.
- A comprehensive validation report is generated, complete with a 5-star rating and a clear recommendation.
Requirement Validator Setup
To start using this tool within your Openclaw Skills workflow, ensure you have Python 3 and Pip installed.
# Prepare your user feedback data in a CSV format (user_id, content, timestamp)
# Navigate to the skill directory and run the validator
python3 scripts/validate.py --file user_feedback.csv --requirement "Your Requirement Name"
You can also interact with the skill directly through a compatible AI agent interface by providing feedback text for real-time analysis.
Requirement Validator Data Schema & Taxonomy
The skill organizes its analysis using the following data structures and metadata:
| Dimension | Weight | Description |
|---|---|---|
| User Consistency | 30% | Comparison between stated needs and actual behavior |
| Frequency | 20% | Number of unique users requesting the feature |
| Impact Area | 15% | Percentage of the total user base affected |
| Competitor Coverage | 10% | Presence of the feature in rival products |
| Alternatives | 15% | Availability of existing workarounds |
| ROI Evaluation | 10% | Estimated cost-to-benefit ratio |
Configuration settings are stored in config/validation_rules.yaml for easy adjustment of weights and thresholds.
Requirement Validator Advanced Features
- Custom weighting logic: Adjust the importance of specific dimensions via YAML configuration.
- Interactive Validation Mode: Real-time requirement vetting through chat interfaces using Openclaw Skills protocols.
- Multi-dimensional Scoring: 5-star rating system ranging from Fake Requirement (Reject) to High Authenticity (Highly Recommended).
- Detailed ROI Analysis: Built-in logic to estimate the balance between development effort and user value.
SKILL.md
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