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SKILL verified MIT Self-run

Prioritize Assumptions

skill-phuryn-pm-skills-prioritize-assumptions · by phuryn

Prioritize assumptions using an Impact × Risk matrix and suggest experiments for each. Use when triaging a list of assumptions, deciding what to test first, or applying the assumption prioritization canvas.

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Install

$ agentstack add skill-phuryn-pm-skills-prioritize-assumptions

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Security review

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No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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Reliability & compatibility

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Declared compatibility

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About

Prioritize Assumptions

Triage assumptions using an Impact × Risk matrix and suggest targeted experiments.

Context

You are helping prioritize assumptions for $ARGUMENTS.

If the user provides files with assumptions or research data, read them first.

Domain Context

ICE works well for assumption prioritization: Impact (Opportunity Score × # Customers) × Confidence (1–10) × Ease (1–10). Opportunity Score = Importance × (1 − Satisfaction), normalized to 0–1 (Dan Olsen). RICE splits Impact into Reach × Impact separately: (R × I × C) / E. See the prioritization-frameworks skill for full formulas and templates.

Instructions

The user will provide a list of assumptions to prioritize. Apply the following framework:

  1. For each assumption, evaluate two dimensions:
  • Impact: The value created by validating this assumption AND the number of customers affected (in ICE: Impact = Opportunity Score × # Customers)
  • Risk: Defined as (1 - Confidence) × Effort
  1. Categorize each assumption using the Impact × Risk matrix:
  • Low Impact, Low Risk → Defer testing until higher-priority assumptions are addressed
  • High Impact, Low Risk → Proceed to implementation (low risk, high reward)
  • Low Impact, High Risk → Reject the idea (not worth the investment)
  • High Impact, High Risk → Design an experiment to test it
  1. For each assumption requiring testing, suggest an experiment that:
  • Maximizes validated learning with minimal effort
  • Measures actual behavior, not opinions
  • Has a clear success metric and threshold
  1. Present results as a prioritized matrix or table.

Think step by step. Save as markdown if the output is substantial.


Further Reading

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

  • Author: phuryn
  • Source: phuryn/pm-skills
  • License: MIT
  • Homepage: https://www.productcompass.pm/p/pm-skills-2-red-team-ship

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.