assumption-test
SolidDesign the smallest viable test to validate or invalidate a critical assumption. Based on Torres's assumption testing framework, organized by Gilad's AFTER model (Assessment → Fact-Finding → Tests → Experiments → Release Results).
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Quality Score: 87/100
Skill Content
Details
- Author
- haabe
- Repository
- haabe/mycelium
- Created
- 5 months ago
- Last Updated
- yesterday
- Language
- Python
- License
- MIT
Similar Skills
Semantically similar based on skill content — not just same category
assumption-test
Surfaces the hidden assumptions an idea depends on, sorts them by risk (likelihood-it's-false × damage-if-false) across desirability, viability, feasibility, and usability, then designs the cheapest test for the riskiest ones. Use when you say "what has to be true for this to work," "what's the riskiest assumption," "should we validate before building," "how do we de-risk this bet," or "this idea feels shaky and I can't say why."
riskiest-assumption-test
Walks the founder through assumption dump, risk × impact ranking, falsifiable hypothesis rewriting, and test-method selection — produces a 1-page Assumption Test Plan with the top-3 ranked hypotheses, success/kill criteria, and an interactive HTML risk × impact matrix. Use after `validation-canvas` and BEFORE `pitch-deck` — pitching on untested assumptions is sales theater. Triggers on "test my assumptions", "riskiest assumption", "RAT", "what should I validate first", "assumption mapping", "experiment design", "how do I de-risk this", "Wizard of Oz test", "fake door test", "concierge MVP", "smoke test", "5-interview rule", or when `validation-canvas.md` has populated Stress Tests and the user asks what's next. Job — "what have we proven?". Upstream half of validation closure; the downstream half loops results back into the canvas. NOT a discussion of testing in general (use `team-composer`); NOT a generic experiment platform. Produces a plan, not the experiments.
test-assumptions
Challenge a proposed solution by identifying and testing consequential assumptions. Use when the brief feels too certain or discovery reveals contradictions.