Agent skill

GitHub PR Review

by sccn in sccn/eeglab

Review a pull request for correctness, MATLAB/Octave behavior, EEGLAB data-structure consistency, GUI/history regressions, and repository convention compliance in sccn/eeglab.

Custom licenceAuto-check passedDevelopment

Install GitHub PR Review

skills CLI
$ npx skills add sccn/eeglab --skill github-pr-review -a claude-code

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

GitHub CLI
$ gh skill install sccn/eeglab github-pr-review --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/sccn/eeglab.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/github-pr-review .claude/skills/github-pr-review && 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
github-pr-review
GitHub stars
800
Token cost
~1.1k tokens
SKILL.md length
426 words
Files
1
Skills in repo
3
Repo updated
First seen
Licence
Custom licence

At a glance

Review a pull request for correctness, MATLAB/Octave behavior, EEGLAB data-structure consistency, GUI/history regressions, and repository convention compliance in sccn/eeglab.

  • Works in 6 steps: Correctness bugs and behavioral… → EEG structure consistency, including… → GUI and command-line parity for pop_*… → …
  • Tasks that involve Pull requests
  • SKILL.md covers Review Goals, High-Signal Threshold, Review Workflow and Review Comment Format, plus 1 more section
  • Calls gh

What it does

GitHub PR Review is an agent skill from sccn/eeglab. Review a pull request for correctness, MATLAB/Octave behavior, EEGLAB data-structure consistency, GUI/history regressions, and repository convention compliance in sccn/eeglab.

Its SKILL.md is about 1.1k 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 Pull requests. It works with GitHub. The repository describes itself as: EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and developed at the SCCN/UCSD.

When your agent uses it

  • Tasks that involve Pull requests

Example prompts

  • “/github-pr-review”

Requirements

  • Pre-approved tools (allowed-tools): Bash(gh issue view:*), Bash(gh search:*), Bash(gh issue list:*), Bash(gh pr comment:*), Bash(gh pr diff:*), Bash(gh pr view:*), Bash(gh pr list:*), Bash(gh pr review:*), Bash(git rev-parse:*), mcp__github_inline_comment__create_inline_comment

Workflow steps

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

  1. Correctness bugs and behavioral regressions in changed MATLAB code.
  2. EEG structure consistency, including dimensions, events, epochs, channel
  3. GUI and command-line parity for pop_* functions.
  4. MATLAB and Octave compatibility where the changed code claims or implies it.
  5. Focused tests or reproducibility commands for changed behavior.
  6. Simple code that follows existing EEGLAB conventions.

What it can do on your machine

Read from SKILL.md and the folder at commit 8ac485f. 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:

    • Bash(gh issue view:*)
    • Bash(gh search:*)
    • Bash(gh issue list:*)
    • Bash(gh pr comment:*)
    • Bash(gh pr diff:*)
    • Bash(gh pr view:*)
    • Bash(gh pr list:*)
    • Bash(gh pr review:*)
    • Bash(git rev-parse:*)
    • mcp__github_inline_comment__create_inline_comment

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • gh

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use gh, which can reach the network depending on how they are called.

    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

GitHub PR Review loads about 1.1k tokens when it runs. Until then it costs about 48 tokens; SKILL.md has 426 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~48
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k

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 426 words (~1,105 tokens).

“Provide a code review for the given pull request.”

— opening of SKILL.md by sccn, Custom licence
name
github-pr-review
allowed-tools
Bash(gh issue view:*), Bash(gh search:*), Bash(gh issue list:*), Bash(gh pr comment:*), Bash(gh pr diff:*), Bash(gh pr view:*), Bash(gh pr list:*), Bash(gh pr review:*), Bash(git rev-parse:*), mcp__github_inline_comment__create_inline_comment

Read the full SKILL.md on GitHub

Files

Just SKILL.md in .agents/skills/github-pr-review of sccn/eeglab.

Open the folder on GitHubat commit 8ac485f

Compare with similar skills

GitHub PR Review 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.

GitHub PR Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
GitHub PR Review this skillsccn/eeglab800—~1.1kAutomated safety check: PassCustom licence
PR Babysitteropeninterpreter/openinterpreter69k3 repos~4.2kAutomated safety check: PassApache-2.0
Check PRonyx-dot-app/onyx32k2 repos~2.3kAutomated safety check: PassMIT
Contributor-First PR MergeHKUDS/OpenHarness16k1 repos~847Automated safety check: PassMIT
Create Pull Requestcline/cline70k1 repos~1.6kAutomated safety check: PassApache-2.0
Pull Request Title and Body Writeropeninterpreter/openinterpreter69k2 repos~1.1kAutomated safety check: PassApache-2.0

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Works with

Categories

Questions about GitHub PR Review

What does GitHub PR Review do?

Review a pull request for correctness, MATLAB/Octave behavior, EEGLAB data-structure consistency, GUI/history regressions, and repository convention compliance in sccn/eeglab. GitHub PR Review is an agent skill from sccn/eeglab. Review a pull request for correctness, MATLAB/Octave behavior, EEGLAB data-structure consistency, GUI/history regressions, and repository convention compliance in sccn/eeglab.

When should I use GitHub PR Review?

GitHub PR Review fits situations like: tasks that involve Pull requests.

How do I install GitHub PR Review in Claude Code?

Run `npx skills add sccn/eeglab --skill github-pr-review -a claude-code`. Or copy the skill folder (.agents/skills/github-pr-review in sccn/eeglab) into .claude/skills/github-pr-review in your project. Claude Code loads it when a task matches its description.

How do I install GitHub PR Review in Codex?

Run `npx skills add sccn/eeglab --skill github-pr-review -a codex`. Or copy the skill folder (.agents/skills/github-pr-review in sccn/eeglab) into .agents/skills/github-pr-review in your project. Codex loads it when a task matches its description.

Can I use GitHub PR Review 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 sccn/eeglab --skill github-pr-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/github-pr-review, .gemini/skills/github-pr-review, .github/skills/github-pr-review and .opencode/skills/github-pr-review in your project.

What does GitHub PR Review need to run?

Going by SKILL.md and its folder, GitHub PR Review needs the command-line tools its instructions call (gh). Its frontmatter pre-approves these tools: Bash(gh issue view:*), Bash(gh search:*), Bash(gh issue list:*), Bash(gh pr comment:*), Bash(gh pr diff:*), Bash(gh pr view:*), Bash(gh pr list:*), Bash(gh pr review:*), Bash(git rev-parse:*), mcp__github_inline_comment__create_inline_comment.

Does GitHub PR Review access the network?

SKILL.md contains no URLs. Its commands use gh, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is GitHub PR Review 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 GitHub PR Review use?

GitHub PR Review 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 GitHub PR Review use?

About 1.1k tokens (SKILL.md is roughly 4.4k 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 GitHub PR Review?

Skills that share tags, products or a category with GitHub PR Review: PR Babysitter (openinterpreter/openinterpreter, 69k stars), Check PR (onyx-dot-app/onyx, 32k stars), Contributor-First PR Merge (HKUDS/OpenHarness, 16k stars) and Create Pull Request (cline/cline, 70k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains GitHub PR Review?

sccn (a GitHub organization) maintains it in sccn/eeglab, which has 800 GitHub stars. The repository holds 3 skills in this directory. The repository was last updated on September 12, 2026.

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