R code review for the sewage project. An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills.

Custom licenceAuto-check passedDevelopment

Install Review R

skills CLI
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill review-r -a claude-code

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

GitHub CLI
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills review-r --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/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/41-sticerd-eee-sewage-econometrics-check/skills/review-r .claude/skills/review-r && 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
review-r
GitHub stars
4.6k
Token cost
~1.3k tokens
SKILL.md length
448 words
Files
1
Skills in repo
383
Repo updated
First seen
Licence
Custom licence

At a glance

R code review for the sewage project. An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills.

  • Works in 4 steps: Identify Scripts → Review Each Script (9 Categories) → Present Summary → …
  • Tasks that involve Reproducible research
  • SKILL.md covers Project-Specific Conventions, Workflow and Principles
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Review R is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. R code review for the sewage project. Checks script structure, reproducibility, function design, figure quality, and professional polish against project conventions (here::here, arrow/parquet, fixest, modelsummary, native pipe). This skill should be used when asked to "review the code", "check my script", or "code review".

Its SKILL.md is about 1.3k 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 Development, covering Reproducible research, DataFrames and Code review. The repository describes itself as: 🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库,覆盖8大社会科学学科的实证研究。CoPaper.AI…

When your agent uses it

  • Tasks that involve Reproducible research
  • Tasks that involve DataFrames
  • Tasks that involve Code review

Example prompts

  • “review the code”
  • “check my script”
  • “code review”
  • “/review-r”

Requirements

  • Pre-approved tools (allowed-tools): Read, Grep, Glob, Write, Agent

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Identify Scripts
  2. Review Each Script (9 Categories)
  3. Present Summary
  4. IMPORTANT

What it can do on your machine

Read from SKILL.md and the folder at commit 9fa87d8. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Grep
    • Glob
    • Write
    • Agent

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    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

Review R loads about 1.3k tokens when it runs. Until then it costs about 83 tokens; SKILL.md has 448 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~83
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k

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

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 448 words (~1,265 tokens).

“Run a code quality review on R scripts in the sewage project. Produces a report — does NOT edit source files.”

— opening of SKILL.md by brycewang-stanford, Custom licence
name
review-r
allowed-tools
Read, Grep, Glob, Write, Agent
argument-hint
[filename, directory, or 'all']

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/41-sticerd-eee-sewage-econometrics-check/skills/review-r of brycewang-stanford/Auto-Empirical-Research-Skills.

Open the folder on GitHubat commit 9fa87d8

Compare with similar skills

Review R 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.

Review R compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Review R this skillbrycewang-stanford/Auto-Empirical-Research-Skills4.6k—~1.3kAutomated safety check: PassCustom licence
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Scholar Code Reviewjoshzyj/open-scholar-skill168—~8.8kAutomated safety check: PassCustom licence
Billing Reviewpolarsource/polar10k—~2.3kAutomated safety check: PassMIT
Math AuditorCliMA/EnsembleKalmanProcesses.jl128—~2.6kAutomated safety check: PassApache-2.0
Flowfile Codegen Parity CampaignEdwardvaneechoud/Flowfile389—~7.5kAutomated safety check: PassMIT

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Questions about Review R

What does Review R do?

R code review for the sewage project. An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Review R is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. R code review for the sewage project.

When should I use Review R?

Review R fits situations like: tasks that involve Reproducible research; tasks that involve DataFrames; tasks that involve Code review.

How do I install Review R in Claude Code?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill review-r -a claude-code`. Or copy the skill folder (skills/41-sticerd-eee-sewage-econometrics-check/skills/review-r in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/review-r in your project. Claude Code loads it when a task matches its description.

How do I install Review R in Codex?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill review-r -a codex`. Or copy the skill folder (skills/41-sticerd-eee-sewage-econometrics-check/skills/review-r in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/review-r in your project. Codex loads it when a task matches its description.

Can I use Review R 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/Auto-Empirical-Research-Skills --skill review-r -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/review-r, .gemini/skills/review-r, .github/skills/review-r and .opencode/skills/review-r in your project.

What does Review R need to run?

SKILL.md names no scripts, command-line tools or credentials: Review R is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Grep, Glob, Write, Agent.

Does Review R 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 Review R 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 Review R use?

Review R has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Review R use?

About 1.3k tokens (SKILL.md is roughly 5.1k 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 Review R?

Skills that share tags, products or a category with Review R: Review R (pedrohcgs/claude-code-my-workflow, 1.7k stars), Scholar Code Review (joshzyj/open-scholar-skill, 168 stars), Billing Review (polarsource/polar, 10k stars) and Math Auditor (CliMA/EnsembleKalmanProcesses.jl, 128 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Review R?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Auto-Empirical-Research-Skills, which has 4,556 GitHub stars. The repository holds 383 skills in this directory. The repository was last updated on October 5, 2026.

Source: brycewang-stanford/Auto-Empirical-Research-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.