jru-theory-model
Use when the decision-theoretic representation is the bottleneck for a Journal of Risk and Uncertainty (JRU) manuscript — axioms, functional form, and behavioral content for choice under risk or uncertainty. Strengthens the model; it does not invent evidence or citations.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jru-theory-model --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Theory and Model Craft (jru-theory-model) ## When to trigger - The paper proposes or adopts a preference representation (utility + probability weighting, an ambiguity functional) but its **axiomatic foundation** or **behavioral content** is unclear - A functional form is asserted (CRRA + Prelec weighting, α-MEU, smooth ambiguity) without saying what it rules out - A referee asks "what does your model predict that EU does not?" and the draft has no crisp answer - The model is being used to interpret experimental or empirical results but its parameters are not behaviorally interpretable ## The JRU theory bar JRU is the home of decision theory under risk and uncertainty, so a model is judged on three things at once: an **axiomatic basis** (what preference conditions characterize the representation), a **functional form** that is tractable and identifiable, and **behavioral content** (the model must forbid some observable choices — a representation that fits everything explains nothing). Theory here is rarely art-for-art's-sake; even an axiomatization is expected to connect to measurable behavior, because JRU's readership lives at the theory–experiment–empirics interface. ### Represe
- When to trigger
- The JRU theory bar
- Representation discipline
- Common representations and what each commits you to
- From representation to testable content
- Checklist
- Anti-patterns
- Risk vs. uncertainty: pick the right object
- Worked vignette (illustrative)
- When the model is borrowed, not built
- Output format
What does the jru-theory-model skill do?
Use when the decision-theoretic representation is the bottleneck for a Journal of Risk and Uncertainty (JRU) manuscript — axioms, functional form, and behavioral content for choice under risk or uncertainty. Strengthens the model; it does not invent evidence or citations.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jru-theory-model --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From brycewang-stanford/Awesome-Journal-Skills, a repository with 909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.