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Agent skill

Code Review

by HybridAIOne in HybridAIOne/hybridclaw

Review diffs and change sets for bugs, regressions, risks, and missing tests.

MITAuto-check passedDevelopment

Install Code Review

skills CLI
$ npx skills add HybridAIOne/hybridclaw --skill code-review -a claude-code

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

GitHub CLI
$ gh skill install HybridAIOne/hybridclaw 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/HybridAIOne/hybridclaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/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
158
Token cost
~828 tokens
SKILL.md length
365 words
Files
1
Skills in repo
70
Repo updated
First seen
Licence
MIT

At a glance

Review diffs and change sets for bugs, regressions, risks, and missing tests.

  • Works in 4 steps: Establish scope with git status --short,… → Read the changed files, not just the… → Run targeted validation when it exists:… → …
  • Tasks that involve Code review
  • SKILL.md covers Review Order, Primary Workflows, What to Look For and Review Output, plus 2 more sections
  • Calls git, gh and rg

What it does

Code Review is an agent skill from HybridAIOne/hybridclaw. Review diffs and change sets for bugs, regressions, risks, and missing tests.

Its SKILL.md is about 830 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 Git. The repository describes itself as: Enterprise-ready self-hosted AI assistant runtime with sandboxed execution, secure credentials, approvals, and memory. The licence is MIT.

When your agent uses it

  • Tasks that involve Code review

Example prompts

  • “/code-review”

Workflow steps

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

  1. Establish scope with git status --short, git diff --stat, and
  2. Read the changed files, not just the diff, before judging behavior.
  3. Run targeted validation when it exists: tests, typecheck, lint, build, or
  4. Present findings ordered by severity, then open questions, then a brief

What it can do on your machine

Read from SKILL.md and the folder at commit 48ac731. 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
    • gh
    • rg

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

  • Network

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

Code Review loads about 828 tokens when it runs. Until then it costs about 22 tokens; SKILL.md has 365 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
~828

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 HybridAIOne/hybridclaw at commit 48ac731, republished under its MIT licence (© HybridAIOne). 365 words, ~828 tokens.

Download SKILL.mdSave it as .claude/skills/code-review/SKILL.md (or your agent's skills folder).
name
code-review
description
Review diffs and change sets for bugs, regressions, risks, and missing tests.
user-invocable
true

Code Review

Use this skill to review local changes or an existing GitHub pull request for correctness, regressions, maintainability, security, and missing tests.

Review Order

  1. Establish scope with git status --short, git diff --stat, and git diff --name-only.
  2. Read the changed files, not just the diff, before judging behavior.
  3. Run targeted validation when it exists: tests, typecheck, lint, build, or repo-specific checks.
  4. Present findings ordered by severity, then open questions, then a brief summary.

Primary Workflows

Local Branch Review

Use local git state when the change is in the current checkout:

bash
git status --short
git diff --stat
git diff --name-only
git diff --staged
git diff <base-branch>...HEAD
git log --oneline <base-branch>..HEAD

Replace <base-branch> with the repository's actual review base branch.

GitHub PR Review

Use gh when the review target is an open pull request:

bash
gh pr view 123
gh pr diff 123
gh pr checkout 123
gh pr view 123 --comments

After checking out the PR branch, review it the same way as a local branch and run the relevant repo checks before leaving comments.

What to Look For

Prioritize issues that change behavior or raise delivery risk:

  • incorrect logic or broken edge cases
  • state, data, or migration regressions
  • auth, permission, or secret-handling mistakes
  • missing validation, retries, or error handling
  • flaky or incomplete tests
  • risky coupling, hidden side effects, or cleanup gaps

Treat pure style comments as low priority unless the user explicitly asks for a style review.

Show full SKILL.md (160 more words)Show less

Review Output

Default to this structure:

  1. Findings
  2. Open questions or assumptions
  3. Brief summary

For each finding:

  • cite the file and the most relevant line or function
  • explain the concrete failure mode or risk
  • describe the user-visible impact when possible
  • note the missing test or validation that would catch it

If there are no findings, say that explicitly and mention any residual risk such as unrun integration tests or unverified deployment paths.

Working Rules

  • Prefer evidence from code and test behavior over speculation.
  • Distinguish confirmed defects from probable risks and from optional suggestions.
  • Review generated or vendored files by tracing back to their source inputs when practical.
  • Do not bury the most severe issue behind minor nits.
  • When a diff is large, identify the riskiest files first and focus depth there.

Useful Checks

Use targeted searches when helpful:

bash
git diff <base-branch>...HEAD | rg "console\\.log|TODO|FIXME|HACK|debugger"
git diff <base-branch>...HEAD | rg "<<<<<<<|=======|>>>>>>>"
git diff <base-branch>...HEAD | rg -i "password|secret|token|api[_-]?key|private[_-]?key"

Prefer repo-native test commands over broad guesses. Run the smallest check set that can confirm or disprove a suspected issue.

© HybridAIOne, MIT. 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 skills/code-review of HybridAIOne/hybridclaw.

Open the folder on GitHubat commit 48ac731

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 skillHybridAIOne/hybridclaw158—~828Automated safety check: PassMIT
Code Review ChecklistshareAI-lab/learn-claude-code78k5 repos~1.1kAutomated safety check: PassMIT
Understand Diff AnalysisEgonex-AI/Understand-Anything86k1 repos~1.4kAutomated safety check: PassMIT
Open Code Review CLIalibaba/open-code-review44k—~3.1kAutomated safety check: PassApache-2.0
Hunk Diff Session Controlmodem-dev/hunk9.5k1 repos~3.4kAutomated safety check: PassMIT
Open Code Review Delegatealibaba/open-code-review44k—~2kAutomated safety check: PassApache-2.0

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  • Code Review Checklist

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Works with

Categories

Questions about Code Review

What does Code Review do?

Review diffs and change sets for bugs, regressions, risks, and missing tests. Code Review is an agent skill from HybridAIOne/hybridclaw. Review diffs and change sets for bugs, regressions, risks, and missing tests.

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 HybridAIOne/hybridclaw --skill code-review -a claude-code`. Or copy the skill folder (skills/code-review in HybridAIOne/hybridclaw) 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 HybridAIOne/hybridclaw --skill code-review -a codex`. Or copy the skill folder (skills/code-review in HybridAIOne/hybridclaw) 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 HybridAIOne/hybridclaw --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, gh and rg).

Does Code Review access the network?

SKILL.md contains no URLs. Its commands use git and gh, 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 MIT 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 828 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: Code Review Checklist (shareAI-lab/learn-claude-code, 78k stars), Understand Diff Analysis (Egonex-AI/Understand-Anything, 86k stars), Open Code Review CLI (alibaba/open-code-review, 44k stars) and Hunk Diff Session Control (modem-dev/hunk, 9.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Code Review?

HybridAIOne (a GitHub organization) maintains it in HybridAIOne/hybridclaw, which has 158 GitHub stars. The repository holds 70 skills in this directory. The repository was last updated on October 7, 2026.

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