A skill your agent uses when a Journal of Economic Behavior & Organization (JEBO) result may be fragile to demand effects, multiple comparisons, specification, or tuning.

MITAuto-check passedResearch & Science

Install Jebo Robustness

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jebo-robustness -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jebo-robustness --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/Journal-of-Economic-Behavior-and-Organization-Skills/skills/jebo-robustness .claude/skills/jebo-robustness && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
jebo-robustness
GitHub stars
1.2k
Token cost
~1.4k tokens
SKILL.md length
582 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when a Journal of Economic Behavior & Organization (JEBO) result may be fragile to demand effects, multiple comparisons, specification, or tuning.

  • A Journal of Economic Behavior & Organization (JEBO) result may be fragile to demand effects
  • SKILL.md covers When to trigger, Organize robustness by…, Distinguish "the effect is… and Execution bridge (StatsPAI /…, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Multiple comparisons

What it does

Jebo Robustness is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when a Journal of Economic Behavior & Organization (JEBO) result may be fragile to demand effects, multiple comparisons, specification, or tuning. Organizes robustness by the behavioral threat each check addresses — for experiments, observational designs, and simulations; it does not redesign the identification or write the prose.

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Research & Science. The repository describes itself as: Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. | 覆盖主流期刊的… The licence is MIT.

When your agent uses it

  • A Journal of Economic Behavior & Organization (JEBO) result may be fragile to demand effects
  • Multiple comparisons

Example prompts

  • “/jebo-robustness”

What it can do on your machine

Read from SKILL.md and the folder at commit 932eb23. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Jebo Robustness loads about 1.4k tokens when it runs. Until then it costs about 88 tokens; SKILL.md has 582 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~88
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 582 words, ~1,429 tokens.

Download SKILL.mdSave it as .claude/skills/jebo-robustness/SKILL.md (or your agent's skills folder).
name
jebo-robustness
description
Use when a Journal of Economic Behavior & Organization (JEBO) result may be fragile to demand effects, multiple comparisons, specification, or tuning. Organizes robustness by the behavioral threat each check addresses — for experiments, observational designs, and simulations; it does not redesign the identification or write the prose.

Robustness Strategy (jebo-robustness)

When to trigger

  • An experiment has several treatment arms / outcomes and you have not corrected for multiplicity
  • A referee could attribute the effect to experimenter demand, confusion, or order effects
  • An observational result moves with controls, sample windows, or estimator choice
  • An agent-based result might be an artifact of grid, seed, or tuning choices
  • You have a long, unstructured "robustness" appendix and no map from check to threat

Organize robustness by behavioral threat, not by appendix list

At JEBO the right question is never "did we run enough checks?" but "for each way this could not be the behavioral mechanism, did we show it survives?" Build a threat → check map. The threats differ sharply across the four archetypes.

Experiments (lab/online/field)
ThreatCheck JEBO referees expect
Experimenter demanddemand-treatment bounds (de Quidt-style), neutral framing, obfuscated objective
Multiple comparisonspre-registered primary outcome; MHT correction (Romano–Wolf, List–Shaikh–Xu, BH) across arms/outcomes
Comprehension / confusionresults hold among subjects passing comprehension checks
Order / sequence effectsrandomize order; show within-order stability
Subject pool / platformreplicate across pools (student vs. Prolific vs. field); attention screens on online samples
Bots / inattentive online subjectsattention checks, completion-time filters, duplicate-IP screening
Selection / attritionbalance among completers; Lee bounds if differential
Observational behavioral empirics
  • Specification curve / multiverse over reasonable controls and windows; show the headline is not a knife-edge.
  • Inference robustness: clustering level, wild-cluster bootstrap with few clusters, randomization inference where natural.
  • Placebo / falsification: effect absent where the mechanism predicts none; pre-trend tests for DID.
  • Sensitivity to unobservables (Oster δ; Rambachan–Roth honest-DID for parallel-trend violations).
Simulation / agent-based
  • Parameter sweeps over the behavioral-rule space; report the region where the result holds.
  • Seed sensitivity (many runs, report distribution not one path); grid/step-size invariance.
  • Sensitivity of emergent regularities to the behavioral rule chosen (e.g., reinforcement vs. EWA learning).

Distinguish "the effect is real" from "the mechanism is the claimed one"

JEBO's distinctive robustness demand is mechanism robustness: even a real, replicable effect can be driven by a different behavioral channel than claimed. Where possible, add a check that separates your mechanism from the leading alternative (a moderation test the rival channel does not predict, a mediation analysis with the caveats stated, or a treatment that shuts the rival channel off).

Show full SKILL.md (214 more words)Show less

Execution bridge (StatsPAI / Stata MCP)

Run the battery, don't just enumerate it. Full map: execution-with-mcp. JEBO spans behavioral/experimental and applied micro; randomization inference for experiments, DiD/IV for observational claims.

  • Many outcomes / specifications: romano_wolf (step-down FWER) or benjamini_hochberg.
  • OVB sensitivity: oster_delta / sensemakr.
  • Inference: wild_cluster_bootstrap (few clusters), twoway_cluster / conley.
  • Re-fit off one handle: audit_result(result_id) lists missing checks + the exact suggest_function for each.
  • Exhibits: etable / did_summary_to_latex from the handle — no retyped numbers.

Decisive checks in the body, exhaustive battery in the appendix. JF execution walkthrough.

Checklist

  • Every robustness exhibit is labeled with the specific threat it neutralizes
  • Experiments: demand effects bounded; primary outcome pre-registered; MHT correction reported
  • Comprehension/order/subject-pool/attention threats addressed for the relevant design
  • Observational: spec-curve + inference robustness + placebo/falsification + unobservables sensitivity
  • Simulation: parameter sweeps + seed/grid sensitivity reported
  • At least one check separates the claimed mechanism from the leading alternative
  • The headline magnitude is reported with honest uncertainty across specifications

Anti-patterns

  • A robustness appendix that lists 20 regressions without saying what threat each rebuts
  • Reporting only the cell that survives MHT, omitting the corrected p-values across all arms
  • Treating "the effect replicates" as proof the mechanism is the claimed one
  • Online experiments with no attention/bot screening
  • An agent-based headline shown for a single seed and a single grid
  • Hand-picked control sets that quietly maximize the coefficient

Output format

text
【Archetype】experiment / observational / simulation
【Threat → check map】
  - <threat 1> → <check>
  - <threat 2> → <check>
【Multiplicity】primary outcome pre-registered? MHT method:
【Mechanism vs. alternative】<test separating claimed channel from rival>
【Headline stability】<range of estimate across specs + uncertainty>
【Next step】jebo-tables-figures

© brycewang-stanford, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in Journal-of-Economic-Behavior-and-Organization-Skills/skills/jebo-robustness of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

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Questions about Jebo Robustness

What does Jebo Robustness do?

A skill your agent uses when a Journal of Economic Behavior & Organization (JEBO) result may be fragile to demand effects, multiple comparisons, specification, or tuning. Jebo Robustness is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when a Journal of Economic Behavior & Organization (JEBO) result may be fragile to demand effects, multiple comparisons, specification, or tuning.

When should I use Jebo Robustness?

Jebo Robustness fits situations like: A Journal of Economic Behavior & Organization (JEBO) result may be fragile to demand effects; multiple comparisons.

How do I install Jebo Robustness in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jebo-robustness -a claude-code`. Or copy the skill folder (Journal-of-Economic-Behavior-and-Organization-Skills/skills/jebo-robustness in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/jebo-robustness in your project. Claude Code loads it when a task matches its description.

How do I install Jebo Robustness in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jebo-robustness -a codex`. Or copy the skill folder (Journal-of-Economic-Behavior-and-Organization-Skills/skills/jebo-robustness in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/jebo-robustness in your project. Codex loads it when a task matches its description.

Can I use Jebo Robustness in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jebo-robustness -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/jebo-robustness, .gemini/skills/jebo-robustness, .github/skills/jebo-robustness and .opencode/skills/jebo-robustness in your project.

What does Jebo Robustness need to run?

SKILL.md names no scripts, command-line tools or credentials: Jebo Robustness is instructions for the agent only.

Does Jebo Robustness access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Jebo Robustness safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Jebo Robustness use?

Jebo Robustness is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Jebo Robustness use?

About 1.4k tokens (SKILL.md is roughly 5.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Jebo Robustness?

Skills that share tags, products or a category with Jebo Robustness: Hypothesis Generation (spacering-net/codeg, 3.9k stars), GitHub Deep Research (bytedance/deer-flow, 84k stars), Nature Paper Card (Yuan1z0825/nature-skills, 47k stars) and Content Research Writer (weapp-tailwindcss/weapp-tailwindcss, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Jebo Robustness?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,228 GitHub stars. The repository holds 2,387 skills in this directory. The repository was last updated on September 27, 2026.

Source: brycewang-stanford/Awesome-Journal-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.