Agent skill · product strategy · deanpeters

derisk-measurement-advisor

Identify what to measure, test, or track to de-risk a product or AI idea. Use when stress-testing an idea across internal (DUFV) and external (PESTEL) dimensions.

Why this skill is useful

Provides a structured framework for identifying and prioritizing risks specific to product and AI ideas, which the AI wouldn't reliably generate on its own.

What it needs

About 12k tokens when loaded. Last updated 2026-07-17. 6,302 stars on the source repository.

What this skill does

Purpose Guide product managers through identifying the most important things to measure, test, or track across 10 risk dimensions — 4 internal and 6 external — then triage each into act on immediately or start tracking. The output is a prioritized risk register that tells you what to do first, not just what could go wrong. This is not a generic risk list. It's a guided scan tied to your specific product, customer, and market context. The question it answers: is the orange worth the squeeze? Input Works best with: The product or AI idea you want to stress-test. Also useful: Its stage (concept, prototype, in-market), what you've already validated, and any dimensions you already know are risky. Anything supplied with the invocation itself — text after the skill name, a pasted context dump, or an appended ARGUMENTS: line — counts as answers already given. Use it and skip whatever it covers; don't re-ask. Arriving empty-handed? That works too. The advisor opens by asking for the idea in a sentence or two, then scans the 10 risk dimensions against it. Example invocation: De-risk this: an AI agent that auto-drafts insurance claim responses for adjusters — prototype stage, no compliance review yet. Key Concepts Two Lenses, One Question Every product idea carries two kinds of risk. Most PMs check one and ignore the other. …

How to use it

Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:

@skills deanpeters/derisk-measurement-advisor

View the source on GitHub

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