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Agent skill

Code Review

by r3bl-org in r3bl-org/r3bl-open-core

Interactively review code changes chunk by chunk with explicit user approval

Apache-2.0Auto-check passedDevelopment

Install Code Review

skills CLI
$ npx skills add r3bl-org/r3bl-open-core --skill code-review -a claude-code

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

GitHub CLI
$ gh skill install r3bl-org/r3bl-open-core 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/r3bl-org/r3bl-open-core.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/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
485
Token cost
~816 tokens
SKILL.md length
447 words
Files
1
Skills in repo
25
Repo updated
First seen
Licence
Apache-2.0

At a glance

Interactively review code changes chunk by chunk with explicit user approval

  • Works in 4 steps: Collect & Partition Diff Chunks → Present Chunks Iteratively (One Turn per… → Handle User Feedback → …
  • Tasks that involve Code review
  • SKILL.md covers Purpose, Workflow and Related Skills
  • Calls git

What it does

Code Review is an agent skill from r3bl-org/r3bl-open-core. Interactively review code changes chunk by chunk with explicit user approval

Its SKILL.md is about 820 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. The repository describes itself as: TUI framework and developer productivity apps in Rust 🦀. The licence is Apache-2.0.

When your agent uses it

  • Tasks that involve Code review

Example prompts

  • “/code-review”

Workflow steps

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

  1. Collect & Partition Diff Chunks
  2. Present Chunks Iteratively (One Turn per Chunk)
  3. Handle User Feedback
  4. Completion & Checklist Update

What it can do on your machine

Read from SKILL.md and the folder at commit 89db352. 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

    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 816 tokens when it runs. Until then it costs about 22 tokens; SKILL.md has 447 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~22
When it runs · the whole SKILL.md, loaded when a task matches
~816

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 r3bl-org/r3bl-open-core at commit 89db352, republished under its Apache-2.0 licence (© r3bl-org). 447 words, ~816 tokens.

Download SKILL.mdSave it as .claude/skills/code-review/SKILL.md (or your agent's skills folder).
name
code-review
description
Interactively review code changes chunk by chunk with explicit user approval

Interactive Code Review Workflow

Use this skill when the user runs the /code-review slash command or uses any of these natural language triggers:

  • "show me the code changes you made here, one chunk at a time interactively. i will type 'good' if i approve"
  • "review the code changes chunk by chunk"
  • "interactive code review"
  • "review changes interactively"

Purpose

Provides a structured, low-cognitive-load, interactive code review experience in chat. Instead of dumping large diffs or requiring the user to navigate full files in an external editor, changes are broken into small, logical, self-contained diff chunks presented one turn at a time.

Workflow

1. Collect & Partition Diff Chunks
  1. Run git diff on the current working tree (or inspect specific target files).
  2. Partition the changes into small, logical, self-contained chunks:
    • Separate by file whenever possible.
    • For larger files, divide into logical functional blocks (e.g., imports, core logic, tests).
  3. Determine total chunk count (N).
2. Present Chunks Iteratively (One Turn per Chunk)

For each chunk (e.g., Chunk X of N):

  1. Heading & File Link: ### Chunk X of N: path/to/file.rs (use clickable markdown file links).
  2. Context & Rationale: Provide a concise 1-2 sentence explanation of what changed in this chunk and why.
  3. Test Coverage Verification: Invoke the check-test-coverage skill for the modified file:
    • Verify that all custom logic branches, state transitions, and error paths in this file/chunk are covered by tests.
    • Confirm zero test bloat (no redundant tests asserting standard library behaviors, compiler derives, or third-party macros).
    • Report a concise 1-line coverage status.
  4. Diff Snippet: Provide a clean diff code block containing only the relevant hunk.
  5. Approval Prompt: Ask: Please reply with **"good"** to approve and move to Chunk X+1.
  6. STOP and WAIT: Do NOT output subsequent chunks in the same turn. Yield control and wait for user input.
Show full SKILL.md (146 more words)Show less
3. Handle User Feedback
  • Approved ("good", "ok", "lgtm"): Advance to the next chunk and present it.
  • Requested Changes / Corrections:
    1. Make surgical edits to the code using native file editing tools.
    2. Run ./check.fish --check (or relevant test/clippy checks) to verify correctness.
    3. Re-present the revised chunk to the user with the updated diff.
    4. Wait for approval before proceeding.
4. Completion & Checklist Update

Once all N chunks have been explicitly approved:

  1. If working on a task file (e.g., task/<name>.md), check off the corresponding files in the "Mandatory manual review" checklist.
  2. Run ./check.fish --fmt on changed files.
  3. Notify the user that all chunks have been reviewed and approved, and ask how to proceed with next steps.
  • check-test-coverage - For branch-targeted test coverage and zero bloat verification
  • check-code-quality - Comprehensive quality checks
  • run-clippy - Clippy linting and formatting
  • write-documentation - Rustdoc formatting and intra-doc link validation

© r3bl-org, 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 .agents/skills/code-review of r3bl-org/r3bl-open-core.

Open the folder on GitHubat commit 89db352

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 skillr3bl-org/r3bl-open-core485—~816Automated safety check: PassApache-2.0
PR Babysitteropeninterpreter/openinterpreter69k3 repos~4.2kAutomated safety check: PassApache-2.0
Code Review ChecklistshareAI-lab/learn-claude-code78k5 repos~1.1kAutomated safety check: PassMIT
Backend Code Reviewlangflow-ai/langflow156k—~3.5kAutomated safety check: NotesMIT
Understand Diff AnalysisEgonex-AI/Understand-Anything86k1 repos~1.4kAutomated safety check: PassMIT
Mole Bug Patternstw93/Mole70k—~2kAutomated safety check: PassGPL-3.0

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  • Release Crate

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  • Check Code Quality

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Categories

Questions about Code Review

What does Code Review do?

Interactively review code changes chunk by chunk with explicit user approval. Code Review is an agent skill from r3bl-org/r3bl-open-core.

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 r3bl-org/r3bl-open-core --skill code-review -a claude-code`. Or copy the skill folder (.agents/skills/code-review in r3bl-org/r3bl-open-core) 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 r3bl-org/r3bl-open-core --skill code-review -a codex`. Or copy the skill folder (.agents/skills/code-review in r3bl-org/r3bl-open-core) 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 r3bl-org/r3bl-open-core --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).

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 816 tokens (SKILL.md is roughly 3.3k 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: PR Babysitter (openinterpreter/openinterpreter, 69k stars), Code Review Checklist (shareAI-lab/learn-claude-code, 78k stars), Backend Code Review (langflow-ai/langflow, 156k stars) and Understand Diff Analysis (Egonex-AI/Understand-Anything, 86k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Code Review?

r3bl-org (a GitHub organization) maintains it in r3bl-org/r3bl-open-core, which has 485 GitHub stars. The repository holds 25 skills in this directory. The repository was last updated on October 8, 2026.

Source: r3bl-org/r3bl-open-core on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.