Cross-Language Coding Standards
zereight/gitlab-mcp
Shared reference for naming, function size, complexity and error handling rules that reviewer agents apply across TypeScript, Python, Go, Rust, Java, C# and Swift.
Validates arguments of exported R functions with the standalone check_* type checkers from rlang, in tidyverse style with clear error messages.
Install R Function Input Validation
$ npx skills add tidyverse/dplyr --skill types-check -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install tidyverse/dplyr types-check --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/tidyverse/dplyr.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/tidy-argument-checking .claude/skills/types-check && 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 "types-check" agent skill from https://github.com/tidyverse/dplyr/tree/main/.claude/skills/tidy-argument-checking into .claude/skills/types-check/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "types-check", 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/tidyverse/dplyr/tree/main/.claude/skills/tidy-argument-checkingType 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 tidyverse/dplyr --skill types-check -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install tidyverse/dplyr types-check --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tidyverse/dplyr.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/tidy-argument-checking .agents/skills/types-check && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "types-check" agent skill from https://github.com/tidyverse/dplyr/tree/main/.claude/skills/tidy-argument-checking into .agents/skills/types-check/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "types-check", 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 tidyverse/dplyr --skill types-check -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install tidyverse/dplyr types-check --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tidyverse/dplyr.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/tidy-argument-checking .cursor/skills/types-check && 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 "types-check" agent skill from https://github.com/tidyverse/dplyr/tree/main/.claude/skills/tidy-argument-checking into .cursor/skills/types-check/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "types-check", 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/tidyverse/dplyr.git --path .claude/skills/tidy-argument-checking--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 tidyverse/dplyr --skill types-check -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install tidyverse/dplyr types-check --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tidyverse/dplyr.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/tidy-argument-checking .gemini/skills/types-check && 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 "types-check" agent skill from https://github.com/tidyverse/dplyr/tree/main/.claude/skills/tidy-argument-checking into .gemini/skills/types-check/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "types-check", 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 tidyverse/dplyr types-checkInstalls 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 tidyverse/dplyr --skill types-check -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/tidyverse/dplyr.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/tidy-argument-checking .github/skills/types-check && 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 "types-check" agent skill from https://github.com/tidyverse/dplyr/tree/main/.claude/skills/tidy-argument-checking into .github/skills/types-check/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "types-check", 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 tidyverse/dplyr --skill types-check -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install tidyverse/dplyr types-check --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tidyverse/dplyr.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/tidy-argument-checking .opencode/skills/types-check && 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 "types-check" agent skill from https://github.com/tidyverse/dplyr/tree/main/.claude/skills/tidy-argument-checking into .opencode/skills/types-check/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "types-check", 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
types-check- GitHub stars
- 5.1k
- Used in
- 1 other repo
- Token cost
- ~2.3k tokens
- SKILL.md length
- 879 words
- Files
- 1
- Skills in repo
- 2
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Validates arguments of exported R functions with the standalone check_* type checkers from rlang, in tidyverse style with clear error messages.
- Writing an exported R function that needs argument validation
- SKILL.md covers Function reference, Other helpers, call and arg arguments and When to validate inputs, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Reviewing existing validation code in an R package
What it does
The skill describes tidyverse-style input validation using rlang's exported checkers and the standalone types-check file of check_* functions, which are designed to give clear, actionable errors such as saying a value must be a single string. It assumes the standalone file was added with usethis::use_standalone and that rlang is imported. If not, the agent confirms with you first.
Scalar checkers cover single values: check_bool, check_string, check_name, check_number_whole and check_number_decimal, with min and max for ranges and NA rejected by default. Vector checkers cover logical, character and data frame arguments and allow NA by default. The allow_null option marks NULL as a valid no-value state, matching the style guide's preference for NULL defaults over missing(). Other rlang helpers such as arg_match validate a choice from a fixed set of strings.
When your agent uses it
- Writing an exported R function that needs argument validation
- Reviewing existing validation code in an R package
- Adding a new check helper to a package's standalone file
Example prompts
- “Add input validation to my summarise_scores function: flag must be a single logical and n a whole number.”
- “Replace these stopifnot calls with rlang check functions.”
- “Make the color argument accept only red, green or blue.”
Requirements
- An R package that imports rlang
- The types-check standalone file, added with usethis::use_standalone
What it can do on your machine
Read from SKILL.md and the folder at commit d5e94e7. 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 (its code samples are r).
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
R Function Input Validation loads about 2.3k tokens when it runs. Until then it costs about 59 tokens; SKILL.md has 879 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
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 879 words (~2,303 tokens).
“This skill describes tidyverse style for validating function inputs. It focuses on rlang's exported type checkers along with the standalone file of check_* functions. These functions are carefully designed to produce clear, actionable error messages:”
- name
- types-check
Files
Just SKILL.md in .claude/skills/tidy-argument-checking of tidyverse/dplyr.
Open the folder on GitHubat commit d5e94e7
Used in 5 other repositories
We found 5 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in tidyverse/dplyr, which our catalogue first saw on October 7, 2026.
Compare with similar skills
R Function Input Validation 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 |
|---|---|---|---|---|---|---|
| R Function Input Validation this skilltidyverse/dplyr | 5.1k | 1 repos | ~2.3k | Automated safety check: Pass | Custom licence | |
| Cross-Language Coding Standardszereight/gitlab-mcp | 2k | 1 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Code Qualitypiomin/claude-ai-spring-boot | 1.3k | — | ~2.2k | Automated safety check: Pass | Apache-2.0 | |
| Python Devdatabricks-solutions/ai-dev-kit | 1.9k | — | ~1.6k | Automated safety check: Pass | Custom licence | |
| Blindspot Code Critiqueyologdev/yoyo-evolve | 1.9k | — | ~2.2k | Automated safety check: Pass | MIT | |
| Go Development Guidelinesjumppad-labs/jumppad | 263 | — | ~1.5k | Automated safety check: Pass | MPL-2.0 |
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Related
Categories
Questions about R Function Input Validation
What does R Function Input Validation do?
Validates arguments of exported R functions with the standalone check_* type checkers from rlang, in tidyverse style with clear error messages. The skill describes tidyverse-style input validation using rlang's exported checkers and the standalone types-check file of check_* functions, which are designed to give clear, actionable errors such as saying a value must be a single string. It assumes the standalone file was added with usethis::use_standalone and that rlang is imported.
When should I use R Function Input Validation?
R Function Input Validation fits situations like: writing an exported R function that needs argument validation; reviewing existing validation code in an R package; adding a new check helper to a package's standalone file.
How do I install R Function Input Validation in Claude Code?
Run `npx skills add tidyverse/dplyr --skill types-check -a claude-code`. Or copy the skill folder (.claude/skills/tidy-argument-checking in tidyverse/dplyr) into .claude/skills/types-check in your project. Claude Code loads it when a task matches its description.
How do I install R Function Input Validation in Codex?
Run `npx skills add tidyverse/dplyr --skill types-check -a codex`. Or copy the skill folder (.claude/skills/tidy-argument-checking in tidyverse/dplyr) into .agents/skills/types-check in your project. Codex loads it when a task matches its description.
Can I use R Function Input Validation 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 tidyverse/dplyr --skill types-check -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/types-check, .gemini/skills/types-check, .github/skills/types-check and .opencode/skills/types-check in your project.
What does R Function Input Validation need to run?
SKILL.md names no scripts, command-line tools or credentials: R Function Input Validation is instructions for the agent only. Our summary lists: An R package that imports rlang; The types-check standalone file, added with usethis::use_standalone.
Does R Function Input Validation 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 R Function Input Validation 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 R Function Input Validation use?
R Function Input Validation 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 R Function Input Validation use?
About 2.3k tokens (SKILL.md is roughly 9.2k 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 R Function Input Validation?
Skills that share tags, products or a category with R Function Input Validation: Cross-Language Coding Standards (zereight/gitlab-mcp, 2k stars), Code Quality (piomin/claude-ai-spring-boot, 1.3k stars), Python Dev (databricks-solutions/ai-dev-kit, 1.9k stars) and Blindspot Code Critique (yologdev/yoyo-evolve, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains R Function Input Validation?
tidyverse (a GitHub organization) maintains it in tidyverse/dplyr, which has 5,072 GitHub stars. The repository holds 2 skills in this directory. The repository was last updated on June 2, 2026.
Source: tidyverse/dplyr on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.