Manuscript Statistics Audit
Yuan1z0825/nature-skills
Audits or rewrites the statistical reporting in a manuscript: experimental units, replication, tests, uncertainty and figure legends, without inventing missing details.
A skill your agent uses when deciding which restat- sub-skill to invoke next, or when sequencing manuscript work from topic selection through rebuttal for a The Review of Economics and Statistics…
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill restat-workflow -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills restat-workflow --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-workflow .claude/skills/restat-workflow && 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-workflow" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Review-of-Economics-and-Statistics-Skills/skills/restat-workflow into .claude/skills/restat-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "restat-workflow", 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-workflowType 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-workflow -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills restat-workflow --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-workflow .agents/skills/restat-workflow && 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-workflow" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Review-of-Economics-and-Statistics-Skills/skills/restat-workflow into .agents/skills/restat-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "restat-workflow", 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-workflow -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills restat-workflow --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-workflow .cursor/skills/restat-workflow && 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-workflow" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Review-of-Economics-and-Statistics-Skills/skills/restat-workflow into .cursor/skills/restat-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "restat-workflow", 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-workflow--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-workflow -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills restat-workflow --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-workflow .gemini/skills/restat-workflow && 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-workflow" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Review-of-Economics-and-Statistics-Skills/skills/restat-workflow into .gemini/skills/restat-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "restat-workflow", 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-workflowInstalls 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-workflow -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-workflow .github/skills/restat-workflow && 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-workflow" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Review-of-Economics-and-Statistics-Skills/skills/restat-workflow into .github/skills/restat-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "restat-workflow", 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-workflow -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-workflow --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-workflow .opencode/skills/restat-workflow && 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-workflow" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Review-of-Economics-and-Statistics-Skills/skills/restat-workflow into .opencode/skills/restat-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "restat-workflow", 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.
restat-workflowA skill your agent uses when deciding which restat- sub-skill to invoke next, or when sequencing manuscript work from topic selection through rebuttal for a The Review of Economics and Statistics…
Restat Workflow is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding which restat- sub-skill to invoke next, or when sequencing manuscript work from topic selection through rebuttal for a The Review of Economics and Statistics (REStat) submission. Routes — it does not replace — the specialized skills.
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, 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.
11 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 932eb23. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Restat Workflow loads about 1.6k tokens when it runs. Until then it costs about 67 tokens; SKILL.md has 670 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.
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.
The full file from brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 670 words, ~1,623 tokens.
.claude/skills/restat-workflow/SKILL.md (or your agent's skills folder).This is the router. It tells you which restat- skill to use at the current stage* of a manuscript aimed at The Review of Economics and Statistics (REStat) — the venerable MIT Press journal edited at the Harvard Kennedy School (founded 1917/1919; current title since 1948). REStat publishes applied economics and applied econometrics: it rewards credible causal identification, careful measurement, and quantitative evidence across labor, public, development, trade, IO, health, environment, urban, and macro-empirics. It is empirical-first — a clean research design or a measurement advance is the contribution; theory interprets, it does not lead.
Operational tells that you are at REStat and not a sibling: REStat values measurement and applied econometrics, not pure methods development (that is J. Econometrics); it is broad applied econ, wider than a field journal but more specialized than AER. Submission is via Editorial Express with a nonrefundable submission fee (US$125; source map refreshed 2026-06-20); review is editor-managed peer review; accepted empirical papers must deposit data and code to the REStat Harvard Dataverse under the journal's Data and Code Availability Policy. Editors as of the 2026-06-20 refresh: Will Dobbie (Harvard) and Raymond Fisman (Boston U), co-chairs.
| Current symptom | Next skill |
|---|---|
| Unsure the paper fits REStat vs AER / AEJ:Applied / J. Econometrics / a field journal | restat-topic-selection |
| Contribution vs. the closest prior work is fuzzy or undersold | restat-literature-positioning |
| Causal design / measurement strategy is the bottleneck | restat-identification |
| Theory is overgrown or absent; unclear how much model to carry | restat-theory-model |
| Headline estimate's stability under specs/sample/inference is untested | restat-robustness |
| Exhibits are dense; the main result is not legible in one table/figure | restat-tables-figures |
| The question + estimate do not land in the first paragraph | restat-writing-style |
| Need the Harvard Dataverse data/code package + README | restat-replication-package |
| Want to pre-empt the objections this design invites | restat-referee-strategy |
| Ready to submit via Editorial Express; need a preflight | restat-submission |
| Received an R&R; need a response-letter strategy | restat-rebuttal |
restat-topic-selection — lock the applied question and REStat fitrestat-literature-positioning — stake the marginal contributionrestat-identification — make the causal design / measurement crediblerestat-theory-model — right-size theory to interpret the estimaterestat-robustness — show the headline survives specs, sample, inferencerestat-tables-figures — make the result legible in one exhibitrestat-writing-style — land question + estimate early (intro last)restat-replication-package — assemble the Harvard Dataverse packagerestat-referee-strategy — pre-empt design-specific objectionsrestat-submission — Editorial Express preflightrestat-rebuttal — after the R&R
restat-writing-styleis a late-stage polish; do not rewrite the intro before identification and robustness settle.
restat-replication-package until acceptance — REStat's Data and Code Availability Policy and Harvard Dataverse deposit are part of the path to publication, not an afterthoughtrestat-tables-figures polish exhibits while the identification is still movingREStat spans several applied archetypes, and the bottleneck differs. Read the archetype, then enter the chain at the right link.
| Archetype | Likely first bottleneck | Enter at |
|---|---|---|
| applied-micro causal design (DID / RD / IV) | heterogeneity-robust estimator + clean design | restat-identification |
| measurement / new data or index | construct validity + measurement-error discipline | restat-identification → restat-robustness |
| trade / IO / spatial (shift-share) | exposure-design inference + exogeneity of shares/shocks | restat-identification |
| structural-light applied | how much model to carry without becoming method-first | restat-theory-model |
A user says: "My DID on a staggered state policy estimates fine, but a referee says TWFE is biased and the measure of my outcome is noisy." That is two distinct REStat pushbacks — heterogeneity-biased estimator (owned by restat-identification, Branch DID) and measurement error in the outcome (a REStat-signature concern, addressed in restat-identification measurement + restat-robustness). Route to restat-identification first; only once the headline effect is stable under Callaway–Sant'Anna and an attenuation correction do you return to restat-tables-figures and restat-rebuttal.
if decision_letter_arrived: -> restat-rebuttal
elif ready_to_submit: -> restat-submission
elif anticipating_referees: -> restat-referee-strategy
elif need_data_code_package: -> restat-replication-package
elif exhibits_dense: -> restat-tables-figures
elif headline_not_robust: -> restat-robustness
elif theory_mis-sized: -> restat-theory-model
elif identification_or_measurement_shaky: -> restat-identification
elif contribution_fuzzy: -> restat-literature-positioning
else: -> restat-topic-selection© 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
Just SKILL.md in Review-of-Economics-and-Statistics-Skills/skills/restat-workflow of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Restat Workflow 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 Workflow this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.6k | Automated safety check: Pass | MIT | |
| Manuscript Statistics AuditYuan1z0825/nature-skills | 47k | 2 repos | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| JS Perf InvestigationSAP/project-foxhound | 180 | 2 repos | ~4.1k | Automated safety check: Pass | GPL-3.0 | |
| Math Modeling SolverLupynow/math-modeling-skills | 416 | — | ~2.1k | Automated safety check: Pass | MIT | |
| Academic Paper Reproduction Methodologyxjtulyc/MedgeClaw | 617 | 1 repos | ~1.3k | Automated safety check: Pass | None | |
| Data Scientistmagnus919/hermes-profiles | 282 | — | ~3.3k | Automated safety check: Pass | MIT |
Yuan1z0825/nature-skills
Audits or rewrites the statistical reporting in a manuscript: experimental units, replication, tests, uncertainty and figure legends, without inventing missing details.
SAP/project-foxhound
Structured performance opportunity investigation for SpiderMonkey (the Firefox JavaScript engine).
Lupynow/math-modeling-skills
数学建模竞赛解题全流程指导。覆盖国赛(CUMCM)和美赛(MCM/ICM)全部题型(A-F),提供12种问题本质分析、95+场景模型决策矩阵、5本算法Cookbook、11本完整例题Playbook、22个Python+7个MATLAB可运行代码模板。与math-modeling-paper形成"解题→写作"配对。当用户提及建模思路、选什么模型、怎么建模、赛题求解、粘贴赛题文本、美赛/国赛题目分…
xjtulyc/MedgeClaw
Six-phase process for reproducing a published paper's results from provided data, from variable mapping and sample filtering through regression tables and a written report.
magnus919/hermes-profiles
PhD-level expertise in data science, statistics, and machine learning.
davila7/claude-code-templates
Runs differential gene expression analysis on bulk RNA-seq counts with PyDESeq2: design formulas, Wald tests, FDR correction and volcano or MA plots.
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when running and reporting the analysis for an Annals of the American Association of Geographers manuscript — spatial statistics and modeling, remote-sensing accuracy, or…
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when positioning an Annals of the American Association of Geographers manuscript in the literature — engaging geographic scholarship across the relevant area and the…
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when responding to an Annals of the American Association of Geographers decision letter (major/minor revision) — building a point-by-point response to the subject editor and…
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when defending the research design of an Annals of the American Association of Geographers manuscript — spatial/quantitative analysis and GIScience, remote-sensing and…
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when you need to understand how the Annals of the American Association of Geographers evaluates a manuscript — double-anonymous review routed through a subject editor by…
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when running the final pre-submission preflight for the Annals of the American Association of Geographers via ScholarOne Manuscripts — area/article-type selection…
Categories
A skill your agent uses when deciding which restat- sub-skill to invoke next, or when sequencing manuscript work from topic selection through rebuttal for a The Review of Economics and Statistics…. Restat Workflow is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding which restat- sub-skill to invoke next, or when sequencing manuscript work from topic selection through rebuttal for a The Review of Economics and Statistics (REStat) submission.
Restat Workflow fits situations like: deciding which restat- sub-skill to invoke next; sequencing manuscript work from topic selection through rebuttal for a The Review of Economics and Statistics (REStat) submission.
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill restat-workflow -a claude-code`. Or copy the skill folder (Review-of-Economics-and-Statistics-Skills/skills/restat-workflow in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/restat-workflow in your project. Claude Code loads it when a task matches its description.
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill restat-workflow -a codex`. Or copy the skill folder (Review-of-Economics-and-Statistics-Skills/skills/restat-workflow in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/restat-workflow in your project. Codex loads it when a task matches its description.
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-workflow -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-workflow, .gemini/skills/restat-workflow, .github/skills/restat-workflow and .opencode/skills/restat-workflow in your project.
SKILL.md names no scripts, command-line tools or credentials: Restat Workflow is instructions for the agent only.
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.
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.
Restat Workflow is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
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.
Skills that share tags, products or a category with Restat Workflow: Manuscript Statistics Audit (Yuan1z0825/nature-skills, 47k stars), JS Perf Investigation (SAP/project-foxhound, 180 stars), Math Modeling Solver (Lupynow/math-modeling-skills, 416 stars) and Academic Paper Reproduction Methodology (xjtulyc/MedgeClaw, 617 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
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.