A strategic validation framework designed to identify and stress-test the riskiest beliefs behind any project or decision before committing resources.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install assumption-test-planner
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 assumption-test-planner 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 Assumption Test Planner?
The Assumption Test Planner is a specialized tool within the Openclaw Skills ecosystem that helps developers and managers de-risk their roadmap. Instead of diving head-first into execution, this skill forces a critical look at the underlying beliefs that could lead to failure. It bridges the gap between raw ideas and validated execution by identifying what you think you know versus what you can actually prove.
By systematically scoring uncertainty and impact, the skill helps you focus on the smallest safe experiments required to move forward with confidence. Whether you are launching a new feature, changing your tech stack, or pivoting a business model, using these Openclaw Skills ensures that your commitment of time and capital is backed by empirical evidence rather than just optimism.
Assumption Test Planner Use Cases
- Evaluating the viability of a new product feature or startup idea.
- Assessing the risks of a major career move or organizational change.
- Validating technical assumptions before beginning a high-cost engineering sprint.
- Determining the potential points of failure in a complex purchase or investment.
- Creating a lightweight validation roadmap for personal or professional projects.
How Assumption Test Planner Works
- Context Gathering: The skill requests a concise one-sentence summary of your plan and your specific definition of success.
- Assumption Identification: It catalogs every dependency the plan relies on, from market demand and costs to stakeholder support and technical ability.
- Evidence Audit: The AI separates hard facts from opinions, guesses, and anecdotal evidence to establish a baseline of truth.
- Risk Scoring: Assumptions are scored based on importance, uncertainty, reversibility, and the cost of being wrong.
- Experiment Design: For the highest-priority risks, the skill generates lightweight tests like prototypes, interviews, or time-boxed pilots.
- Threshold Setting: It defines clear pass/fail evidence thresholds to ensure objective decision-making.
- Execution Roadmap: The workflow concludes with a 7 to 14 day validation plan and a final decision checkpoint.
Assumption Test Planner Setup
To integrate this capability into your workflow, ensure your environment is configured for Openclaw Skills.
# Standard activation for Openclaw Skills
openclaw install assumption-test-planner
# Configure your local profile
openclaw configure
Once installed, you can trigger the planner by providing your project context directly to your AI agent.
Assumption Test Planner Data Schema & Taxonomy
The skill organizes validation data into a structured taxonomy for clear reporting and tracking:
| Field | Description | Taxonomy Values |
|---|---|---|
| Assumption Type | The category of risk being analyzed | Demand, Cost, Time, Ability, Stakeholder, Behavior, etc. |
| Score Metrics | Quantitative risk assessment | Low, Medium, High |
| Reversibility | Ease of undoing the decision | Easy, Moderate, Hard |
| Test Plan | Actionable experiment details | Fastest test, Resources, Thresholds, Impact |
All output is formatted into a chronological 14-day Validation Plan to facilitate immediate action.
Assumption Test Planner Advanced Features
- Evidence/Guess Separation: Automatically flags cognitive biases and distinguishes between data-backed facts and unsubstantiated hopes.
- Dynamic Risk Ranking: Real-time prioritization of tests based on the intersection of uncertainty and cost-if-wrong.
- Decision Impact Mapping: Directly links test outcomes to specific project pivots or 'stop/go' decisions.
- Safety Boundary Integration: Built-in safeguards to ensure experiments remain ethical and do not violate privacy or safety standards.
SKILL.md
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