Agent skill · Security

jru-robustness

Use when a Journal of Risk and Uncertainty (JRU) result may be sensitive to specification, incentive frame, sample, or inference. Organizes robustness by the threat to the risk/uncertainty parameter; it does not invent evidence or citations.

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jru-robustness --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 7 KB
Bundled scripts: none
Path: Journal-of-Risk-and-Uncertainty-Skills/skills/jru-robustness/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 909 · +31 this week
Language: Stata
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Robustness Strategy (jru-robustness) ## When to trigger - The headline risk/ambiguity parameter shifts under a different functional form (CRRA vs. CARA vs. expo-power) and you are unsure which to report - An experimental result might be an artifact of stakes, order, the random-incentive system, or a particular elicitation device - A referee will ask whether the finding survives EU vs. non-EU specifications, or pooled vs. heterogeneous-type estimation - Multiple hypotheses are tested across many lottery menus or treatments and no correction is in place ## Organize robustness by threat, not by appendix A JRU robustness section earns its place when every check is tied to a **specific threat to the parameter's interpretation**. List the threats first, then the check that answers each. | Threat to the result | The check that addresses it | |----------------------|-----------------------------| | Functional-form dependence of the risk parameter | Re-estimate under CRRA, CARA, expo-power; report whether the *qualitative* claim is stable | | Utility–weighting confound | Show the result holds under a model that separates u from w (e.g., RDU/CPT, not just EU) | | Elicitation-device artifac

What's inside
Steps it walks through
  1. When to trigger
  2. Organize robustness by threat, not by appendix
  3. Sequencing
  4. Execution bridge (StatsPAI / Stata MCP)
  5. Checklist
  6. Anti-patterns
  7. Distinguish robustness from a specification search
  8. Robustness the experiment specifically demands
  9. Worked vignette (illustrative)
  10. Output format
More from Awesome-Journal-Skills
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About this skill
What does the jru-robustness skill do?

Use when a Journal of Risk and Uncertainty (JRU) result may be sensitive to specification, incentive frame, sample, or inference. Organizes robustness by the threat to the risk/uncertainty parameter; it does not invent evidence or citations.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jru-robustness --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.

Keep going