Statistical Power
spacering-net/codeg
Sample-size and statistical power calculations for planning studies.
A skill your agent uses when the headline estimate of a The Review of Economics and Statistics (REStat) manuscript needs to survive specification, sample, measurement, and inference choices before…
Install Restat Robustness
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill restat-robustness -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills restat-robustness --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/Review-of-Economics-and-Statistics-Skills/skills/restat-robustness .claude/skills/restat-robustness && rm -rf skills-srcUse ~/.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/
Install the "restat-robustness" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Review-of-Economics-and-Statistics-Skills/skills/restat-robustness into .claude/skills/restat-robustness/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "restat-robustness", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Review-of-Economics-and-Statistics-Skills/skills/restat-robustnessType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill restat-robustness -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills restat-robustness --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/Review-of-Economics-and-Statistics-Skills/skills/restat-robustness .agents/skills/restat-robustness && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "restat-robustness" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Review-of-Economics-and-Statistics-Skills/skills/restat-robustness into .agents/skills/restat-robustness/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "restat-robustness", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill restat-robustness -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills restat-robustness --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/Review-of-Economics-and-Statistics-Skills/skills/restat-robustness .cursor/skills/restat-robustness && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "restat-robustness" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Review-of-Economics-and-Statistics-Skills/skills/restat-robustness into .cursor/skills/restat-robustness/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "restat-robustness", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/brycewang-stanford/Awesome-Journal-Skills.git --path Review-of-Economics-and-Statistics-Skills/skills/restat-robustness--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill restat-robustness -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills restat-robustness --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/Review-of-Economics-and-Statistics-Skills/skills/restat-robustness .gemini/skills/restat-robustness && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "restat-robustness" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Review-of-Economics-and-Statistics-Skills/skills/restat-robustness into .gemini/skills/restat-robustness/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "restat-robustness", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills restat-robustnessInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill restat-robustness -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/Review-of-Economics-and-Statistics-Skills/skills/restat-robustness .github/skills/restat-robustness && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "restat-robustness" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Review-of-Economics-and-Statistics-Skills/skills/restat-robustness into .github/skills/restat-robustness/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "restat-robustness", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill restat-robustness -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills restat-robustness --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/Review-of-Economics-and-Statistics-Skills/skills/restat-robustness .opencode/skills/restat-robustness && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "restat-robustness" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Review-of-Economics-and-Statistics-Skills/skills/restat-robustness into .opencode/skills/restat-robustness/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "restat-robustness", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
restat-robustness- GitHub stars
- 1.2k
- Token cost
- ~1.6k tokens
- SKILL.md length
- 682 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 estimate of a The Review of Economics and Statistics (REStat) manuscript needs to survive specification, sample, measurement, and inference choices before…
- Works in 5 steps: Start from the threats, not the menu.… → One headline, many checks. Keep a single… → Report, don't bury, fragility. If an… → …
- The headline estimate of a The Review of Economics and Statistics (REStat) manuscript needs to survive specification
- SKILL.md covers When to trigger, The REStat robustness bar, The five robustness dimensions and Building the suite, plus 5 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Restat Robustness is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when the headline estimate of a The Review of Economics and Statistics (REStat) manuscript needs to survive specification, sample, measurement, and inference choices before submission. Builds the robustness suite that REStat referees expect; it does not establish the primary identification.
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 Data & Analytics, covering Statistics. 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 estimate of a The Review of Economics and Statistics (REStat) manuscript needs to survive specification
- Inference choices before submission
Example prompts
- “/restat-robustness”
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Start from the threats, not the menu. List the 4–6 objections this exact design invites; each gets a robustness exhibit…
- One headline, many checks. Keep a single main estimate; show alternatives orbit it in a robustness table or a coefficient-stability plot.
- Report, don't bury, fragility. If an estimate weakens under a defensible alternative, say so and bound it — referees trust honest authors.
- Specification curve where appropriate. For results sensitive to many small choices, a specification curve shows the full distribution…
- Inference last and seriously. Cluster at the assignment level; with few clusters use wild-cluster bootstrap; adjust for multiple outcomes…
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
Restat Robustness loads about 1.6k tokens when it runs. Until then it costs about 78 tokens; SKILL.md has 682 words of instructions outside code blocks.
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). 682 words, ~1,636 tokens.
Download SKILL.mdSave it as
.claude/skills/restat-robustness/SKILL.md (or your agent's skills folder).- name
- restat-robustness
- description
- Use when the headline estimate of a The Review of Economics and Statistics (REStat) manuscript needs to survive specification, sample, measurement, and inference choices before submission. Builds the robustness suite that REStat referees expect; it does not establish the primary identification.
Robustness Suite (restat-robustness)
When to trigger
- The main estimate exists but its stability under reasonable alternatives is untested
- A referee could ask "does this survive [specification / sample / inference] choice?"
- Inference rests on conventional SEs without checking clustering / few-cluster / multiple-testing
- The result might be an artifact of how a variable was measured
The REStat robustness bar
REStat referees ask whether the headline number is a fact about the world or an artifact of choices. The persuasive paper shows the estimate is stable across the specifications a skeptic would try, and is honest where it is fragile. Because REStat weights measurement, robustness here includes a dimension siblings sometimes skip: robustness to measurement choices (alternative measures, error corrections, construct definitions). Robustness is not a kitchen sink — it is a targeted defense of the specific threats this design invites (route the threat menu via restat-referee-strategy).
The five robustness dimensions
| Dimension | What to vary | Pass condition |
|---|---|---|
| Specification | Controls, fixed effects, functional form, sample restrictions | Headline stable in sign and rough magnitude |
| Sample | Subperiods, leave-one-group-out, trimming outliers, alt. universe | No single group/period drives the result |
| Measurement | Alternative measures of outcome/regressor, error corrections, construct defs | Conclusion not an artifact of one measure |
| Identification | Alternative estimators (het-robust DID, alt bandwidth/IV), placebo/falsification | Design-appropriate estimators agree; placebos null |
| Inference | Clustering level, wild-cluster bootstrap (few clusters), randomization inference, multiple-testing correction | SEs valid under the data's dependence; key results survive MHT |
Building the suite
- Start from the threats, not the menu. List the 4–6 objections this exact design invites; each gets a robustness exhibit. (
restat-referee-strategy) - One headline, many checks. Keep a single main estimate; show alternatives orbit it in a robustness table or a coefficient-stability plot.
- Report, don't bury, fragility. If an estimate weakens under a defensible alternative, say so and bound it — referees trust honest authors.
- Specification curve where appropriate. For results sensitive to many small choices, a specification curve shows the full distribution rather than cherry-picked rows.
- Inference last and seriously. Cluster at the assignment level; with few clusters use wild-cluster bootstrap; adjust for multiple outcomes (Romano–Wolf / sharpened q-values).
Execution bridge (StatsPAI / Stata MCP)
Run the battery, don't just enumerate it. Full map:
execution-with-mcp. REStat is applied econometrics/empirical micro — the home of careful identification; DiD/IV/RDD with weak-IV-robust CIs.
- Many outcomes / specifications:
romano_wolf(step-down FWER) orbenjamini_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 exactsuggest_functionfor each. - Exhibits:
etable/did_summary_to_latexfrom the handle — no retyped numbers.
Decisive checks in the body, exhaustive battery in the appendix. JF execution walkthrough.
Show full SKILL.md (256 more words)Show less
Checklist
- Headline estimate stable across the controls/FE/functional-form a skeptic would try
- Sample robustness: leave-one-out / subperiod / trimming shown; no single group drives it
- Measurement robustness: alternative measure(s) and/or error correction reported
- Alternative design-appropriate estimators agree; placebo/falsification tests null
- Inference: clustering justified; few-cluster fix applied; multiple-testing handled
- Fragility, where it exists, is reported and bounded — not hidden
- Robustness exhibits map to the specific threats this design invites
Anti-patterns
- A robustness "kitchen sink" unconnected to the design's actual threats
- Reporting only the specifications that work; omitting the obvious skeptical one
- Conventional SEs with a handful of clusters (mechanical over-rejection)
- Many outcomes, no multiple-testing correction (referees will recompute)
- Ignoring measurement-robustness — a REStat-specific gap referees catch
- A specification curve presented as decoration without reading off what it implies
Worked vignette: the measurement-robustness check a referee demanded (illustrative)
A health paper estimates the effect of a clinic-opening on infant mortality, using a registry-based mortality rate. The headline is robust to controls, sample, and clustering — but a REStat referee notes the registry under-counts deaths in remote areas, and under-counting is correlated with clinic access (where clinics opened, reporting also improved). This is non-classical measurement error that could create the result. The robustness answer is not another control set: it is an alternative outcome (survey-based mortality from an independent source) plus a bounding exercise under plausible mis-reporting rates. The effect survives the survey measure and the bounds exclude zero — a measurement-robustness defense siblings often skip but REStat expects. This is the dimension that most often separates a REStat accept from a revise.
Output format
【Headline estimate】[point + SE], identified by [design]
【Specification】stable across: [controls/FE/form] → [Y/N + range]
【Sample】leave-one-out / subperiod / trimming → [Y/N]
【Measurement】alt measure / error correction → [result]
【Identification】alt estimators agree? placebos null? [Y/N]
【Inference】clustering: [level]; few-cluster: [wild bootstrap?]; MHT: [method]
【Honest fragility】[where it weakens + bound] — or "robust throughout"
【Next step】restat-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 Review-of-Economics-and-Statistics-Skills/skills/restat-robustness of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Restat Robustness next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Restat Robustness this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.6k | Automated safety check: Pass | MIT | |
| Statistical Powerspacering-net/codeg | 3.9k | 1 repos | ~3.6k | Automated safety check: Notes | MIT | |
| Statistical Data Analysislingzhi227/agent-research-skills | 390 | — | ~886 | Automated safety check: Pass | None | |
| Q-EDA Exploratory AnalysisTyrealQ/q-skills | 108 | — | ~1.1k | Automated safety check: Pass | MIT | |
| RoundingRConsortium/pharma-skills | 120 | — | ~3.8k | Automated safety check: Pass | MIT | |
| PyMC Bayesian Modelingdavila7/claude-code-templates | 33k | 11 repos | ~3.9k | Automated safety check: Pass | MIT |
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Statistical Data Analysis
lingzhi227/agent-research-skills
Writes statistical analysis code for experimental data, runs it through a four-round review, and reports effect sizes, p-values and confidence intervals.
Q-EDA Exploratory Analysis
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Runs exploratory data analysis on tabular data after you confirm each column's measurement level, then writes CSV tables and a narrative summary.
Rounding
RConsortium/pharma-skills
Audit R code that prepares CSR/TLF statistics for SAS-compatible rounding compliance (ties away from zero, round-once-at-display, fixed trailing-zero precision).
PyMC Bayesian Modeling
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Builds, fits, checks and compares Bayesian models in PyMC, from priors and NUTS sampling to variational inference, LOO and WAIC comparison, and diagnostics.
Dnasp
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Population genetics of pre-aligned DNA sequences or multi-sample VCFs using selected DnaSP 6 methods.
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Questions about Restat Robustness
What does Restat Robustness do?
A skill your agent uses when the headline estimate of a The Review of Economics and Statistics (REStat) manuscript needs to survive specification, sample, measurement, and inference choices before…. Restat Robustness is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when the headline estimate of a The Review of Economics and Statistics (REStat) manuscript needs to survive specification, sample, measurement, and inference choices before submission.
When should I use Restat Robustness?
Restat Robustness fits situations like: the headline estimate of a The Review of Economics and Statistics (REStat) manuscript needs to survive specification; inference choices before submission.
How do I install Restat Robustness in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill restat-robustness -a claude-code`. Or copy the skill folder (Review-of-Economics-and-Statistics-Skills/skills/restat-robustness in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/restat-robustness in your project. Claude Code loads it when a task matches its description.
How do I install Restat Robustness in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill restat-robustness -a codex`. Or copy the skill folder (Review-of-Economics-and-Statistics-Skills/skills/restat-robustness in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/restat-robustness in your project. Codex loads it when a task matches its description.
Can I use Restat 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 restat-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/restat-robustness, .gemini/skills/restat-robustness, .github/skills/restat-robustness and .opencode/skills/restat-robustness in your project.
What does Restat Robustness need to run?
SKILL.md names no scripts, command-line tools or credentials: Restat Robustness is instructions for the agent only.
Does Restat 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 Restat 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 Restat Robustness use?
Restat 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 Restat Robustness use?
About 1.6k tokens (SKILL.md is roughly 6.5k 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 Restat Robustness?
Skills that share tags, products or a category with Restat Robustness: Statistical Power (spacering-net/codeg, 3.9k stars), Statistical Data Analysis (lingzhi227/agent-research-skills, 390 stars), Q-EDA Exploratory Analysis (TyrealQ/q-skills, 108 stars) and Rounding (RConsortium/pharma-skills, 120 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Restat 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.