A skill your agent uses when an Economic Policy (EP) manuscript's results may be specification-, sample-, or inference-fragile, especially ahead of the two-discussant panel.

MITAuto-check passedResearch & Science

Install Ecopol Robustness

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills ecopol-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/Economic-Policy-Skills/skills/ecopol-robustness .claude/skills/ecopol-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
ecopol-robustness
GitHub stars
1.2k
Token cost
~1.4k tokens
SKILL.md length
623 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when an Economic Policy (EP) manuscript's results may be specification-, sample-, or inference-fragile, especially ahead of the two-discussant panel.

  • An Economic Policy (EP) manuscripts results may be specification-
  • SKILL.md covers When to trigger, Robustness is…, The threat-to-test map (build… and Craft moves, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Inference-fragile

What it does

Ecopol Robustness is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when an Economic Policy (EP) manuscript's results may be specification-, sample-, or inference-fragile, especially ahead of the two-discussant panel. Organizes robustness by the threat a discussant will raise; it does not invent evidence or citations.

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, covering Citation management. 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

  • An Economic Policy (EP) manuscripts results may be specification-
  • Inference-fragile
  • Especially ahead of the two-discussant panel

Example prompts

  • “/ecopol-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

Ecopol Robustness loads about 1.4k tokens when it runs. Until then it costs about 68 tokens; SKILL.md has 623 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~68
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). 623 words, ~1,441 tokens.

Download SKILL.mdSave it as .claude/skills/ecopol-robustness/SKILL.md (or your agent's skills folder).
name
ecopol-robustness
description
Use when an Economic Policy (EP) manuscript's results may be specification-, sample-, or inference-fragile, especially ahead of the two-discussant panel. Organizes robustness by the threat a discussant will raise; it does not invent evidence or citations.

Robustness Strategy (ecopol-robustness)

When to trigger

  • The headline policy magnitude moves under plausible alternative specifications
  • A discussant could attribute the result to one sample, period, or country
  • Inference rests on few clusters / few treated units (common in policy evaluations)
  • The result is statistically significant but the magnitude — the part a policymaker uses — is imprecise
  • You are pre-empting the academic discussant's "have you tried…" before the conference

Robustness is discussant-proofing, not a checklist dump

At EP, robustness has a specific purpose: the paper will be debated live by two invited discussants who act as the referees, and the academic one will arrive with a list of fragility tests. So organize robustness by the threat each test neutralizes, not as a mechanical appendix of "alternative specifications." A reader (and the policy discussant) should see, for each test, which way of being wrong it rules out. Because EP papers carry a recommendation, the central object to defend is the magnitude and its confidence interval, not just the sign.

The threat-to-test map (build the robustness section from this)

Threat a discussant will raiseThe test that answers it
"It's driven by one period/sample"leave-one-out by year/region; pre/post-crisis split
"Functional form is doing the work"alternative specifications; semi/non-parametric check
"Parallel trends / pre-trends fail"event-study leads; honest-DID / pre-trends sensitivity bounds
"Confounders you didn't control for"coefficient-stability / Oster δ bounds; placebo on unaffected groups
"Inference is too optimistic with few clusters"wild-cluster bootstrap; randomization inference
"Measurement error in the policy variable"alternative coding; instrument or bound the error
"It won't generalize beyond this case"replicate on a second jurisdiction/episode if data allow

Craft moves

  • Put a robustness summary in the main text, not buried 40 pages deep: a compact figure or sentence showing the headline number is stable across the threats that matter. The policy discussant will not read the appendix.
  • Distinguish robustness from heterogeneity. Stable-everywhere = robust; differs-by-group = a finding to report, not a failure to hide.
  • Report the range, not just a star. "The effect lies between X and Y across all specifications" is the EP-useful statement.
  • Pre-register the discussant's likely objections (use ecopol-referee-strategy) and answer the top three in the main text proactively — you cannot reply live as easily as in a referee letter, so anticipate.
  • Honesty about fragility. If one test moves the number, say what it implies for the policy conclusion rather than hiding it — discussants will find it.
Show full SKILL.md (227 more words)Show less

Execution bridge (StatsPAI / Stata MCP)

Run the battery, don't just enumerate it. Full map: execution-with-mcp. Economic Policy is policy-facing applied economics; foreground a credible design and a policy-relevant magnitude.

  • 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

  • Robustness section organized by threat, each test labeled with the threat it neutralizes
  • A main-text robustness summary (figure or sentence) — not appendix-only
  • Headline magnitude + CI shown to be stable (or its instability honestly bounded)
  • Few-cluster / few-treated inference addressed (wild bootstrap / randomization inference)
  • Pre-trends / parallel-trends sensitivity reported where the design needs it
  • Coefficient-stability or placebo evidence against unobserved confounders
  • Heterogeneity reported as a finding, not disguised as robustness
  • Top three likely discussant objections answered proactively in the main text

Anti-patterns

  • A 20-table appendix of "alternative specifications" with no map to the threats they address
  • Defending only significance while the policy-relevant magnitude swings across specifications
  • Standard clustered SEs with five treated jurisdictions and no few-cluster correction
  • Burying every robustness result in the appendix where the policy discussant never sees it
  • Quietly dropping a specification that breaks the result instead of reporting and interpreting it

Output format

text
【Journal】Economic Policy (EP)
【Skill】ecopol-robustness
【Headline magnitude】X (CI: [.,.]) — stable across threats? Y/N
【Threats neutralized】[sample / functional form / pre-trends / confounders / inference / measurement / external]
【Main-text summary】figure/sentence present? Y/N
【Few-cluster inference】method used
【Honest fragility note】what moves the number and the policy implication
【Next skill】ecopol-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 Economic-Policy-Skills/skills/ecopol-robustness of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

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Questions about Ecopol Robustness

What does Ecopol Robustness do?

A skill your agent uses when an Economic Policy (EP) manuscript's results may be specification-, sample-, or inference-fragile, especially ahead of the two-discussant panel. Ecopol Robustness is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when an Economic Policy (EP) manuscript's results may be specification-, sample-, or inference-fragile, especially ahead of the two-discussant panel.

When should I use Ecopol Robustness?

Ecopol Robustness fits situations like: an Economic Policy (EP) manuscripts results may be specification-; inference-fragile; especially ahead of the two-discussant panel.

How do I install Ecopol Robustness in Claude Code?

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

How do I install Ecopol Robustness in Codex?

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

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

What does Ecopol Robustness need to run?

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

Does Ecopol 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 Ecopol 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 Ecopol Robustness use?

Ecopol 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 Ecopol Robustness use?

About 1.4k tokens (SKILL.md is roughly 5.8k 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 Ecopol Robustness?

Skills that share tags, products or a category with Ecopol Robustness: Content Research Writer (weapp-tailwindcss/weapp-tailwindcss, 1.9k stars), Systematic Review Screener (Imbad0202/academic-research-skills, 51k stars), Networkx (zLanqing/codex-claude-academic-skills, 4.7k stars) and Literature Review (neflibata-feng/MyArxiv-Agent, 126 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ecopol Robustness?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,231 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.