A skill your agent uses when the main result of a The Economic Journal (EJ) manuscript rests on a single specification and you need to pre-empt the alternative-explanation and fragility objections a…

MITAuto-check passedResearch & Science

Install Ecj Robustness

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills ecj-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/The-Economic-Journal-Skills/skills/ecj-robustness .claude/skills/ecj-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
ecj-robustness
GitHub stars
1.2k
Token cost
~1.5k tokens
SKILL.md length
646 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when the main result of a The Economic Journal (EJ) manuscript rests on a single specification and you need to pre-empt the alternative-explanation and fragility objections a…

  • Works in 3 steps: Specification robustness — the number is… → Mechanism discrimination — your channel,… → External / structural validity — the…
  • Research & Science work in your project
  • SKILL.md covers When to trigger, The EJ logic of robustness, What to run and Execution bridge (StatsPAI /…, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Ecj Robustness is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when the main result of a The Economic Journal (EJ) manuscript rests on a single specification and you need to pre-empt the alternative-explanation and fragility objections a demanding referee will raise. Builds the robustness battery and the falsification logic; it does not establish the primary identification (see ecj-identification).

Its SKILL.md is about 1.5k 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

  • Research & Science work in your project

Example prompts

  • “/ecj-robustness”

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. Specification robustness — the number is not an artifact of arbitrary choices.
  2. Mechanism discrimination — your channel, not a competing one, drives it.
  3. External / structural validity — the result generalizes (it must, for EJ's broad-interest bar) / the model's conclusions are not knife-edge.

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

Ecj Robustness loads about 1.5k tokens when it runs. Until then it costs about 89 tokens; SKILL.md has 646 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~89
When it runs · the whole SKILL.md, loaded when a task matches
~1.5k

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). 646 words, ~1,486 tokens.

Download SKILL.mdSave it as .claude/skills/ecj-robustness/SKILL.md (or your agent's skills folder).
name
ecj-robustness
description
Use when the main result of a The Economic Journal (EJ) manuscript rests on a single specification and you need to pre-empt the alternative-explanation and fragility objections a demanding referee will raise. Builds the robustness battery and the falsification logic; it does not establish the primary identification (see ecj-identification).

Robustness & Alternative Explanations (ecj-robustness)

When to trigger

  • The headline result is one regression with one set of choices
  • You have not ruled out the obvious competing economic explanations
  • A structural result has not been shown to survive perturbing key assumptions
  • You suspect a referee will say "this is fragile" or "this is mechanism A, not your mechanism B"

The EJ logic of robustness

At EJ, robustness is not a ritual table of "still significant." It is an argument that the economic interpretation survives, and that rival mechanisms are ruled out — and because the interpretation is what makes the result broadly interesting, fragility there is fatal. A demanding general-interest referee thinks adversarially: which alternative economic story produces the same coefficient, and how do you exclude it? Over-reliance on a single specification is an explicit anti-pattern. And because acceptance triggers the EJ Data Editor rerunning your code against the Zenodo deposit (RES policy, DCAS-endorsed; see ecj-replication-package), every robustness number must come from code that actually executes and reproduces — fragility you papered over will surface in verification. Distinguish three jobs:

  1. Specification robustness — the number is not an artifact of arbitrary choices.
  2. Mechanism discrimination — your channel, not a competing one, drives it.
  3. External / structural validity — the result generalizes (it must, for EJ's broad-interest bar) / the model's conclusions are not knife-edge.

For a short paper (AER:Insights-style), keep the headline robustness in the tight exhibit budget and push the rest to an online appendix — but the leading rival mechanism must still be addressed.

What to run

Specification robustness
  • Vary controls (parsimonious → saturated); show coefficient stability and use Oster (2019) δ / bounds for selection on unobservables.
  • Alternative functional forms, sample windows, and exclusion of influential subsamples.
  • Alternative standard-error structures (clustering level, wild bootstrap with few clusters).
  • Inference robustness: randomization inference or permutation tests where design allows.
Mechanism discrimination (the broad-interest part)
  • Name the 2–3 alternative economic mechanisms that could generate the same reduced-form sign.
  • For each, design a test that the alternatives fail and your mechanism passes (heterogeneity only your channel predicts, an auxiliary outcome, a dose-response the rival cannot explain).
  • Triangulate: a second data source, a second identification strategy, or a structural-vs-reduced-form cross-check.
External validity / structural papers
  • Argue (or bound) how far the estimate generalizes — central to EJ's broad-relevance claim.
  • Sensitivity of estimates and counterfactuals to identifying assumptions and to fixed/calibrated parameters.
  • Untargeted-moment fit; over-identification evidence; alternative model specifications that nest or rival the baseline.
Show full SKILL.md (244 more words)Show less

Execution bridge (StatsPAI / Stata MCP)

Run the battery, don't just enumerate it. Full map: execution-with-mcp. The Economic Journal is general-interest economics; the DiD/IV/RDD chain serves its broad applied lane.

  • 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

  • Coefficient stability across control sets shown; Oster-style selection bound reported
  • Sample-window / outlier / subsample sensitivity reported
  • Inference robust to clustering choice / few clusters
  • The 2–3 rival economic mechanisms are named and tested against
  • At least one triangulation (second data source, design, or structural cross-check)
  • External validity / generalizability argued or bounded (EJ broad-interest bar)
  • Structural results shown not to be knife-edge in key assumptions
  • Robustness lives in the appendix/online appendix, with main text stating the punchline

Anti-patterns

  • A wall of "still significant" tables that never address why the effect is your mechanism
  • Treating robustness as cosmetic while the headline rival explanation goes untested
  • Reporting only specifications that work; hiding the fragile ones (a referee will ask, and the EJ Data Editor reruns the code)
  • Selection-on-unobservables waved away with "we control for X" and no bound
  • Asserting the result generalizes without any external-validity evidence
  • Burying so many checks in the main text that the economic story is lost (use the online appendix)

Output format

【Headline result】coefficient + interpretation
【Spec robustness】[controls, windows, SEs, Oster δ, ...]
【Rival mechanisms】1... 2... — test that discriminates each
【Triangulation】second source / design / structural cross-check
【External validity】how far it generalizes (or bound)
【Residual fragility】honest statement of what is not bulletproof
【Next】ecj-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 The-Economic-Journal-Skills/skills/ecj-robustness of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

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Questions about Ecj Robustness

What does Ecj Robustness do?

A skill your agent uses when the main result of a The Economic Journal (EJ) manuscript rests on a single specification and you need to pre-empt the alternative-explanation and fragility objections a…. Ecj Robustness is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when the main result of a The Economic Journal (EJ) manuscript rests on a single specification and you need to pre-empt the alternative-explanation and fragility objections a demanding referee will raise.

When should I use Ecj Robustness?

Ecj Robustness fits situations like: research & Science work in your project.

How do I install Ecj Robustness in Claude Code?

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

How do I install Ecj Robustness in Codex?

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

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

What does Ecj Robustness need to run?

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

Does Ecj 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 Ecj 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 Ecj Robustness use?

Ecj 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 Ecj Robustness use?

About 1.5k tokens (SKILL.md is roughly 5.9k 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 Ecj Robustness?

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