What is the primary benefit of using the Assumption Validator?

It helps teams avoid 'black swan' failures by identifying which parts of a plan are based on unverified beliefs rather than hard data, allowing for targeted validation before execution.

When should I avoid using the Assumption Validator?

Avoid using it for easily reversible decisions, well-established facts, or during time-critical emergencies where immediate action is more valuable than deep analysis.

Can this skill analyze Architecture Decision Records (ADRs)?

Yes, it is specifically designed to audit ADRs and technical proposals to ensure that the underlying dependencies and constraints are clearly understood and tested.

What does 'load-bearing analysis' mean in this skill?

Load-bearing analysis evaluates how much of a plan's success relies on a specific assumption. If an assumption is 'high-load' and fails, the entire project is likely to fail.

Assumption Validator

Name: Assumption Validator
Author: Agentient

byAgentient

0•

Productivity & Workflow

Surfaces, classifies, and stress-tests hidden assumptions within technical decisions and strategic plans to mitigate project risk.

The Assumption Validator is a specialized reasoning tool designed to expose the 'invisible architecture' of your decisions. By analyzing documents like Architecture Decision Records (ADRs), product strategies, and project plans, it systematically identifies explicit and implicit dependencies that could lead to failure. It employs advanced techniques such as counterfactual analysis and load-bearing scoring to transform fuzzy beliefs into testable propositions, providing teams with a rigorous RISK-ASSESSMENT artifact before they commit significant resources.

Key Features

01Automated extraction of explicit and implicit assumptions from project documentation

02Multi-layered surfacing techniques including Inversion, Five Whys, and Pre-mortems

03Standardized RISK-ASSESSMENT output with go/no-go recommendations

04Load-bearing analysis to prioritize assumptions based on their criticality to success

05Structural framing probes to identify high-level blind spots in problem definition

060 GitHub stars

Use Cases

01Performing pre-commitment due diligence on high-stakes product pivots or investments

02Stress-testing go-to-market strategies and capacity plans against counterfactual scenarios

03Reviewing Architecture Decision Records (ADRs) to identify unverified technical constraints

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add agentient/vibekit assumption-validator

For use in Claude.ai and ChatGPT

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