Agent skill

Code Review

by ChrisTitusTech in ChrisTitusTech/titus-ai

Review code with CodeRabbit when the user requests CodeRabbit or repository policy selects it.

No licenceAuto-check passedDevelopment

Install Code Review

skills CLI
$ npx skills add ChrisTitusTech/titus-ai --skill code-review -a claude-code

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

GitHub CLI
$ gh skill install ChrisTitusTech/titus-ai 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/ChrisTitusTech/titus-ai.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
145
Token cost
~1.4k tokens
SKILL.md length
578 words
Files
1
Skills in repo
17
Repo updated
First seen
Licence
None found

At a glance

Review code with CodeRabbit when the user requests CodeRabbit or repository policy selects it.

  • Works in 5 steps: Check Prerequisites → Run Review → Present Results → …
  • Requests CodeRabbit
  • SKILL.md covers Capabilities, When to Use, How to Review and Security, plus 1 more section
  • Calls git; reaches coderabbit.ai

What it does

Code Review is an agent skill from ChrisTitusTech/titus-ai. Review code with CodeRabbit when the user requests CodeRabbit or repository policy selects it. Do not replace a required Codex review.

Its SKILL.md is about 1.4k 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.

When your agent uses it

  • Requests CodeRabbit
  • Repository policy selects it

Example prompts

  • “/code-review”

Workflow steps

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

  1. Check Prerequisites
  2. Run Review
  3. Present Results
  4. Fix Issues (Autonomous Workflow)
  5. Review Specific Changes

What it can do on your machine

Read from SKILL.md and the folder at commit 162d624. 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

    Hosts in commands or code, which the agent is likely to contact:

    • coderabbit.ai

    Also links to:

    • docs.coderabbit.ai

    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 1.4k tokens when it runs. Until then it costs about 37 tokens; SKILL.md has 578 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~37
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k

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

Without a licence we can't republish the file, so here is its outline and opening line. It has 578 words (~1,435 tokens).

“AI-powered code review using CodeRabbit. Enables developers to implement features, review code, and fix issues in autonomous cycles without manual intervention.”

— opening of SKILL.md by ChrisTitusTech
name
code-review
metadata.version
0.1.0

Read the full SKILL.md on GitHub

Files

Just SKILL.md in .agents/skills/code-review of ChrisTitusTech/titus-ai.

Open the folder on GitHubat commit 162d624

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 skillChrisTitusTech/titus-ai145—~1.4kAutomated safety check: PassNone
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-Anything85k1 repos~1.4kAutomated safety check: PassMIT
Mole Bug Patternstw93/Mole69k—~2kAutomated safety check: PassGPL-3.0

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Categories

Questions about Code Review

What does Code Review do?

Review code with CodeRabbit when the user requests CodeRabbit or repository policy selects it. Code Review is an agent skill from ChrisTitusTech/titus-ai. Review code with CodeRabbit when the user requests CodeRabbit or repository policy selects it.

When should I use Code Review?

Code Review fits situations like: requests CodeRabbit; repository policy selects it.

How do I install Code Review in Claude Code?

Run `npx skills add ChrisTitusTech/titus-ai --skill code-review -a claude-code`. Or copy the skill folder (.agents/skills/code-review in ChrisTitusTech/titus-ai) 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 ChrisTitusTech/titus-ai --skill code-review -a codex`. Or copy the skill folder (.agents/skills/code-review in ChrisTitusTech/titus-ai) 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 ChrisTitusTech/titus-ai --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 names 2 domains. In commands or code: coderabbit.ai; the agent is likely to contact it when it follows the instructions. As links in the text: docs.coderabbit.ai. 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?

No licence was found for Code Review or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Code Review use?

About 1.4k tokens (SKILL.md is roughly 5.7k 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, 85k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Code Review?

ChrisTitusTech (a GitHub user) maintains it in ChrisTitusTech/titus-ai, which has 145 GitHub stars. The repository holds 17 skills in this directory. The repository was last updated on October 6, 2026.

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