Agent skill

jle-robustness

Use when a The Journal of Law and Economics (JLE) manuscript's headline estimate must be shown to survive specification, sample, jurisdiction, and inference choices before submission or in an R&R. Builds the robustness suite a law-and-economics referee expects; it does not establish the primary identification (jle-identification) or format the exhibits (jle-tables-figures).

brycew6m4,252★ · +31/wk · 3 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jle-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: 9 KB
Bundled scripts: none
Path: Journal-of-Law-and-Economics-Skills/skills/jle-robustness/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 984 · +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 Suite (jle-robustness) ## When to trigger - The main estimate of a legal/regulatory effect is in hand and you must show it is not an artifact of one specification - A referee asks "is this robust to alternative controls / sample / which jurisdictions / how you date the rule?" - The result depends on a bandwidth, a clustering choice, a treatment date, or a sample of included jurisdictions that could be questioned - You suspect specification-search concerns and want to pre-empt them ## The JLE robustness bar JLE referees — economists who know the institution — probe whether the estimated effect of the rule is **stable, honestly inferred, and not the product of researcher degrees of freedom**, with special attention to **legal-design choices**: how you dated the rule, which jurisdictions you treated as controls, whether enforcement was uniform. Robustness here is not a wall of regressions; it is a **targeted set of checks each tied to a specific threat to the legal identification**. Map every plausible objection to the one check that answers it, and show the point estimate barely moves. | Threat to the result | The check that answers it | |----------------------|---------

What's inside
Steps it walks through
  1. When to trigger
  2. The JLE robustness bar
  3. Robustness craft
  4. Execution bridge (StatsPAI / Stata MCP)
  5. Checklist
  6. Separating identification robustness from policy interpretation
  7. Anti-patterns
  8. Worked vignette (illustrative)
  9. The few-clusters problem is the JLE default, not the exception
  10. Referee pushback mapped to the robustness fix
  11. Output format
More from Awesome-Journal-Skills
All skills →
About this skill
What does the jle-robustness skill do?

Use when a The Journal of Law and Economics (JLE) manuscript's headline estimate must be shown to survive specification, sample, jurisdiction, and inference choices before submission or in an R&R. Builds the robustness suite a law-and-economics referee expects; it does not establish the primary identification (jle-identification) or format the exhibits (jle-tables-figures).

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jle-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 984 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