A skill your agent uses when the headline result of a Journal of the European Economic Association (JEEA) manuscript needs to be shown stable to specification, sample, inference, and (for theory)…

MITAuto-check passedResearch & Science

Install Jeea Robustness

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jeea-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-the-European-Economic-Association-Skills/skills/jeea-robustness .claude/skills/jeea-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
jeea-robustness
GitHub stars
1.2k
Token cost
~1.6k tokens
SKILL.md length
704 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when the headline result of a Journal of the European Economic Association (JEEA) manuscript needs to be shown stable to specification, sample, inference, and (for theory)…

  • The headline result of a Journal of the European Economic Association (JEEA) manuscript needs to be shown stable to specification
  • SKILL.md covers When to trigger, The JEEA robustness bar, Robustness organized by threat and Principles, plus 6 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • (for theory) assumption perturbations

What it does

Jeea Robustness is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when the headline result of a Journal of the European Economic Association (JEEA) manuscript needs to be shown stable to specification, sample, inference, and (for theory) assumption perturbations. Organizes robustness around the actual threats a general-interest referee will raise; it does not design the main result.

Its SKILL.md is about 1.6k 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

  • The headline result of a Journal of the European Economic Association (JEEA) manuscript needs to be shown stable to specification
  • (for theory) assumption perturbations

Example prompts

  • “/jeea-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

Jeea Robustness loads about 1.6k tokens when it runs. Until then it costs about 85 tokens; SKILL.md has 704 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~85
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k

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). 704 words, ~1,571 tokens.

Download SKILL.mdSave it as .claude/skills/jeea-robustness/SKILL.md (or your agent's skills folder).
name
jeea-robustness
description
Use when the headline result of a Journal of the European Economic Association (JEEA) manuscript needs to be shown stable to specification, sample, inference, and (for theory) assumption perturbations. Organizes robustness around the actual threats a general-interest referee will raise; it does not design the main result.

Robustness (jeea-robustness)

When to trigger

  • The main estimate moves when a referee imagines a different specification
  • Inference rests on assumptions (homoskedasticity, few clusters) you have not stressed
  • A theory result might hinge on one functional form or parameter range
  • You have a pile of "robustness tables" but no organizing logic

The JEEA robustness bar

A general-interest referee does not want a wall of extra columns — they want to know the headline result survives the threats that matter. Organize robustness by threat to the claim, not by "more specifications." Each robustness exhibit should answer a specific objection a JEEA referee would raise, and the headline magnitude should be stable in sign and roughly in size across the credible perturbations. Report everything as standard errors / confidence sets, never significance asterisks, and ensure every robustness check is reproducible for the JEEA Data Editor check.

Robustness organized by threat

Threat to the claimRobustness response
Omitted variables / selectionOster (2019) δ and bounded bias; alternative controls; coefficient-stability discipline
Estimator bias (staggered DID)heterogeneity-robust estimators (CS / SA / BJS / dCDH) as the main result, not an aside
Weak / invalid instrumentfirst-stage strength; Anderson–Rubin / weak-IV-robust sets; over-ID where available
Wrong inferenceclustering at the right level; wild-cluster bootstrap with few clusters; randomization inference
Sample / outlierswinsorize / trim; alternative samples and time windows; influential-observation checks
Functional formalternative specifications; semiparametric or flexible controls
Multiple hypothesesRomano–Wolf / FDR adjustment when many outcomes/subgroups
Theory: assumption fragilityrelax the driving assumption; show the result degrades smoothly, not knife-edge

Principles

  • One threat, one exhibit, one sentence. Each robustness check maps to a named objection and a one-line conclusion.
  • Main result = the credible estimator. Do not bury the heterogeneity-robust DID in an appendix while TWFE leads.
  • Stability, not significance-chasing. The point is the magnitude holds, not that it stays starred (and there are no stars at JEEA).
  • Pre-empt, don't pad. Cut robustness checks no referee would ask for; add the ones jeea-referee-strategy flags.

Execution bridge (StatsPAI / Stata MCP)

Run the battery, don't just enumerate it. Full map: execution-with-mcp. JEEA is a general-interest European economics flagship; credible identification across applied fields.

  • 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.

Show full SKILL.md (304 more words)Show less

Checklist

  • Robustness organized by threat, each tied to a specific referee objection
  • Heterogeneity-robust estimator is the main result where staggered timing applies
  • Inference stressed: clustering level justified; wild-cluster bootstrap if few clusters
  • Selection/OVB addressed (Oster δ or design-based defense)
  • Multiple-testing handled when many outcomes/subgroups
  • Theory: driving assumption relaxed; result shown not knife-edge
  • Every check reproducible; no significance asterisks anywhere

Worked vignette (illustrative)

A draft has fifteen robustness columns and a referee still calls the result fragile. The problem is that none of the fifteen addresses the actual threat — selection into treatment. The JEEA-grade fix cuts the padding and adds the three checks the threat demands: an Oster δ showing the bias needed to overturn the result exceeds 1, a placebo on a group the mechanism predicts should show no effect, and wild-cluster inference because there are only twelve treated units. One paragraph, three exhibits, threat neutralized — far more persuasive than fifteen columns of "add another control."

Main-text vs. online-appendix split

JEEA papers carry an online appendix, so use it to keep the main text focused: the headline robustness (the credible estimator, the key placebo, the inference fix) belongs in the main text; the exhaustive grid (every control set, every sample window) belongs in the appendix, referenced in one sentence. Do not bury the result-deciding check in the appendix, and do not pad the main text with checks no referee asked for.

Anti-patterns

  • A dozen robustness columns with no statement of which threat each addresses
  • TWFE as the headline with the modern estimator hidden in the online appendix
  • "Robust to controls" while the real threat (selection, weak IV) is untouched
  • Reporting that results "remain significant" instead of that the magnitude is stable
  • Robustness checks that quietly change the sample or estimand without flagging it
  • The result-deciding robustness check buried in the online appendix

Output format

【Threats addressed】[OVB / estimator / weak-IV / inference / sample / form / MHT / assumption]
【Main result estimator】[the credible one, not TWFE-only]
【Stability verdict】[sign + magnitude hold? Y/N, with the range]
【Inference】[clustering level; wild-cluster/RI if needed]
【Residual fragility】[what still moves the result]
【Next step】jeea-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-the-European-Economic-Association-Skills/skills/jeea-robustness of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

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Questions about Jeea Robustness

What does Jeea Robustness do?

A skill your agent uses when the headline result of a Journal of the European Economic Association (JEEA) manuscript needs to be shown stable to specification, sample, inference, and (for theory)…. Jeea Robustness is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when the headline result of a Journal of the European Economic Association (JEEA) manuscript needs to be shown stable to specification, sample, inference, and (for theory) assumption perturbations.

When should I use Jeea Robustness?

Jeea Robustness fits situations like: the headline result of a Journal of the European Economic Association (JEEA) manuscript needs to be shown stable to specification; (for theory) assumption perturbations.

How do I install Jeea Robustness in Claude Code?

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

How do I install Jeea Robustness in Codex?

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

Can I use Jeea 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 jeea-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/jeea-robustness, .gemini/skills/jeea-robustness, .github/skills/jeea-robustness and .opencode/skills/jeea-robustness in your project.

What does Jeea Robustness need to run?

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

Does Jeea 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 Jeea 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 Jeea Robustness use?

Jeea 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 Jeea Robustness use?

About 1.6k tokens (SKILL.md is roughly 6.3k 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 Jeea Robustness?

Skills that share tags, products or a category with Jeea 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 Jeea 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.