Agent skill

Review R

by ipea in ipea/geobr

Read-only R code review protocol for .R scripts. An agent skill from ipea/geobr.

No licenceAuto-check passedDevelopment

Install Review R

skills CLI
$ npx skills add ipea/geobr --skill review-r -a claude-code

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

GitHub CLI
$ gh skill install ipea/geobr 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/ipea/geobr.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/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
959
Token cost
~374 tokens
SKILL.md length
118 words
Files
1
Skills in repo
9
Repo updated
First seen
Licence
None found

At a glance

Read-only R code review protocol for .R scripts. An agent skill from ipea/geobr.

  • Works in 4 steps: Identify scripts to review → For each script, launch the r-reviewer… → After all reviews complete, present a… → …
  • User says review this R script
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Check the R code

What it does

Review R is an agent skill from ipea/geobr. Read-only R code review protocol for .R scripts. Checks code quality, error handling, spatial-data correctness, and package conventions; produces a report without editing. Use when user says "review this R script", "check the R code", "audit the analysis code", "code review on the R", or when R code is touched as part of a release. NOT for running the code — pair with /r-package-check for the CRAN gate.

Its SKILL.md is about 370 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 Code quality and Code review. The repository describes itself as: Easy access to official spatial data sets of Brazil in R and Python.

When your agent uses it

  • User says review this R script
  • Check the R code
  • Audit the analysis code
  • Code review on the R

Example prompts

  • “review this R script”
  • “check the R code”
  • “audit the analysis code”
  • “/review-r”

Requirements

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

Workflow steps

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

  1. Identify scripts to review
  2. For each script, launch the r-reviewer agent with instructions to
  3. After all reviews complete, present a summary
  4. IMPORTANT: Do NOT edit any R source files.

What it can do on your machine

Read from SKILL.md and the folder at commit 0969f92. 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
    • Task

    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

Review R loads about 374 tokens when it runs. Until then it costs about 105 tokens; SKILL.md has 118 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~105
When it runs · the whole SKILL.md, loaded when a task matches
~374

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

Without a licence we can't republish the file, so here is its outline and opening line. It has 118 words (~374 tokens).

“Run the comprehensive R code review protocol.”

— opening of SKILL.md by ipea
name
review-r
allowed-tools
Read, Grep, Glob, Write, Task
argument-hint
[filename, directory, or 'all' for r-package/R/]

Read the full SKILL.md on GitHub

Files

Just SKILL.md in .claude/skills/review-r of ipea/geobr.

Open the folder on GitHubat commit 0969f92

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 skillipea/geobr959—~374Automated safety check: PassNone
WooCommerce Code Reviewwoocommerce/woocommerce11k3 repos~1.1kAutomated safety check: PassCustom licence
Skill Doli Code ReviewDolibarr/dolibarr7.7k1 repos~1.1kAutomated safety check: PassMIT
Dignified Python Standardsdocling-project/docling69k—~1.5kAutomated safety check: PassApache-2.0
Clean Code GuardamElnagdy/guard-skills1.3k2 repos~4.3kAutomated safety check: PassMIT
Archify Reviewtt-a1i/archify81k—~415Automated safety check: PassMIT

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Categories

Questions about Review R

What does Review R do?

Read-only R code review protocol for .R scripts. An agent skill from ipea/geobr. Review R is an agent skill from ipea/geobr.R scripts.

When should I use Review R?

Review R fits situations like: user says review this R script; check the R code; audit the analysis code; code review on the R.

How do I install Review R in Claude Code?

Run `npx skills add ipea/geobr --skill review-r -a claude-code`. Or copy the skill folder (.claude/skills/review-r in ipea/geobr) 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 ipea/geobr --skill review-r -a codex`. Or copy the skill folder (.claude/skills/review-r in ipea/geobr) 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 ipea/geobr --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, Task.

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?

No licence was found for Review R or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Review R use?

About 374 tokens (SKILL.md is roughly 1.5k 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 Review R?

Skills that share tags, products or a category with Review R: WooCommerce Code Review (woocommerce/woocommerce, 11k stars), Skill Doli Code Review (Dolibarr/dolibarr, 7.7k stars), Dignified Python Standards (docling-project/docling, 69k stars) and Clean Code Guard (amElnagdy/guard-skills, 1.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Review R?

ipea (a GitHub organization) maintains it in ipea/geobr, which has 959 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on September 27, 2026.

Source: ipea/geobr on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.