Agent skill

Code Review

by nex-agi in nex-agi/NexRL

Code review for Python changes in NexRL, following project conventions.

Apache-2.0Auto-check passedDevelopment

Install Code Review

skills CLI
$ npx skills add nex-agi/NexRL --skill code-review -a claude-code

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

GitHub CLI
$ gh skill install nex-agi/NexRL code-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/nex-agi/NexRL.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/code-review .claude/skills/code-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
code-review
GitHub stars
119
Token cost
~395 tokens
SKILL.md length
134 words
Files
1
Skills in repo
6
Repo updated
First seen
Licence
Apache-2.0

At a glance

Code review for Python changes in NexRL, following project conventions.

  • Tasks that involve Code review
  • SKILL.md covers Overview, Checklist and How to Run
  • Calls git and python

What it does

Code Review is an agent skill from nex-agi/NexRL. Code review for Python changes in NexRL, following project conventions.

Its SKILL.md is about 400 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 review. It works with Python. The repository describes itself as: NexRL is an ultra-loosely-coupled LLM post-training framework. The licence is Apache-2.0.

When your agent uses it

  • Tasks that involve Code review

Example prompts

  • “/code-review”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit 53dcdec. 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

    Shell commands in SKILL.md call:

    • git
    • python

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

  • Network

    No URLs in SKILL.md. Its commands use git, 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

Code Review loads about 395 tokens when it runs. Until then it costs about 21 tokens; SKILL.md has 134 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~21
When it runs · the whole SKILL.md, loaded when a task matches
~395

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

The full file from nex-agi/NexRL at commit 53dcdec, republished under its Apache-2.0 licence (© nex-agi). 134 words, ~395 tokens.

Download SKILL.mdSave it as .claude/skills/code-review/SKILL.md (or your agent's skills folder).
name
code-review
description
Code review for Python changes in NexRL, following project conventions.

Code Review Skill

Overview

Review Python code changes following NexRL project conventions and .ai-instructions/code-review/generic.md.

Checklist

Code Quality
  • Follows project style (black, isort formatting)
  • No debug code or commented-out sections
  • No TODOs/FIXMEs unless documented
  • License headers present on Python/shell/YAML/TOML files
  • pylint and mypy pass without new warnings
Architecture & Design
  • Consistent with NexRL's loosely-coupled architecture
  • Proper use of existing abstractions (workers, trainers, services)
  • No circular imports
  • Configuration changes follow existing patterns (Hydra/OmegaConf)
Documentation Alignment
  • Documentation in docs/ reflects code changes
  • Docstrings present for public APIs
  • Configuration reference updated if parameters changed
  • Examples still work
Testing
  • Tests added for new functionality (in tests/)
  • No ad-hoc test files outside tests/
  • Existing tests still pass
Commit Content
  • Only relevant changes included
  • No build artifacts or sensitive information
  • Commit message follows conventions (present tense, no AI co-author)

How to Run

bash
# Review staged changes
git diff --staged

# Review against base branch
git diff origin/main...HEAD

# Check specific files
python -m pylint <files> --rcfile=.pylintrc -rn -sn
python -m mypy <files> --ignore-missing-imports

© nex-agi, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .claude/skills/code-review of nex-agi/NexRL.

Open the folder on GitHubat commit 53dcdec

Compare with similar skills

Code 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.

Code Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Code Review this skillnex-agi/NexRL119—~395Automated safety check: PassApache-2.0
Code Review ChecklistshareAI-lab/learn-claude-code78k5 repos~1.1kAutomated safety check: PassMIT
Dignified Python Standardsdocling-project/docling68k—~1.5kAutomated safety check: PassApache-2.0
Code Review Skillawesome-skills/code-review-skill2.1k—~2.8kAutomated safety check: NotesMIT
Docling Pull Request Reviewdocling-project/docling68k—~1kAutomated safety check: PassMIT
Git History Bug Auditben-manes/caffeine18k—~3.3kAutomated safety check: PassApache-2.0

Similar skills

  • Code Review Checklist

    shareAI-lab/learn-claude-code

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    78k GitHub starsUsed in 5 repos~1.1k tokens
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  • Docling Pull Request Review

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More from nex-agi/NexRL

  • Address PR Comments

    nex-agi/NexRL

    Address GitHub PR review comments. An agent skill from nex-agi/NexRL.

    119 GitHub stars~420 tokensUpdated 20 days ago
    Auto-check passed
  • Fix Issue

    nex-agi/NexRL

    Fix a GitHub issue using git worktree for isolation. An agent skill from nex-agi/NexRL.

    119 GitHub stars~733 tokensUpdated 20 days ago
    Auto-check passed
  • Git Commit

    nex-agi/NexRL

    Git commit workflow in a worktree with Python linting, formatting, and testing.

    119 GitHub stars~380 tokensUpdated 20 days ago
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  • GitHub PR

    nex-agi/NexRL

    Create a GitHub PR from a worktree branch. An agent skill from nex-agi/NexRL.

    119 GitHub stars~367 tokensUpdated 20 days ago
    Auto-check passed
  • Testing

    nex-agi/NexRL

    Run tests and linting for NexRL Python project. An agent skill from nex-agi/NexRL.

    119 GitHub stars~350 tokensUpdated 20 days ago
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Works with

Categories

Questions about Code Review

What does Code Review do?

Code review for Python changes in NexRL, following project conventions. Code Review is an agent skill from nex-agi/NexRL. Code review for Python changes in NexRL, following project conventions.

When should I use Code Review?

Code Review fits situations like: tasks that involve Code review.

How do I install Code Review in Claude Code?

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

How do I install Code Review in Codex?

Run `npx skills add nex-agi/NexRL --skill code-review -a codex`. Or copy the skill folder (.claude/skills/code-review in nex-agi/NexRL) into .agents/skills/code-review in your project. Codex loads it when a task matches its description.

Can I use Code 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 nex-agi/NexRL --skill code-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/code-review, .gemini/skills/code-review, .github/skills/code-review and .opencode/skills/code-review in your project.

What does Code Review need to run?

Going by SKILL.md and its folder, Code Review needs the command-line tools its instructions call (git and python). Our summary lists: Python 3.

Does Code Review access the network?

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

Is Code 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 Code Review use?

Code Review is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Code Review use?

About 395 tokens (SKILL.md is roughly 1.6k 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 Code Review?

Skills that share tags, products or a category with Code Review: Code Review Checklist (shareAI-lab/learn-claude-code, 78k stars), Dignified Python Standards (docling-project/docling, 68k stars), Code Review Skill (awesome-skills/code-review-skill, 2.1k stars) and Docling Pull Request Review (docling-project/docling, 68k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Code Review?

nex-agi (a GitHub organization) maintains it in nex-agi/NexRL, which has 119 GitHub stars. The repository holds 6 skills in this directory. The repository was last updated on September 17, 2026.

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