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name: code-review\ndescription: \"Use when asked to review a PR, MR, branch, or diff, audit changed files, or check code quality.\"\nhooks:\nPreToolUse:\n- matcher: \"Bash\"\nhooks:\n- type: command\ncommand: \"./scripts/protect-token.sh\"\nlicense: MIT

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Code Review Skill

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Perform structured, objective code reviews for Flutter/Dart projects following a repeatable checklist.

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When to Use

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Use this skill when:

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Review Workflow

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Step 1 — Validate branch and merge target

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  1. Confirm the current branch is a feature, bugfix, or PR/MR branch — not the project's primary branch (e.g. main, master, develop).
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  2. Verify the branch is up-to-date with the target branch (no unresolved conflicts).
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  3. Identify the target branch for the merge.
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Checkpoint: If the branch is behind the target, flag it before proceeding.

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Step 2 — Discover changes

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  1. List all changed, added, and deleted files.
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  2. For each change, look up the commit title and review how connected components are implemented.
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  3. Analyze the change: is it clear why the change was made? If not, dig into the connected methods and files until it is. When you report, name which connected files/methods you analyzed and why — this shows the change was understood, not assumed.
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  4. Never assume a change is correct without investigating the implementation.
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  5. If a change remains unclear after investigation, note this explicitly in the report.
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Step 3 — Review each file

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Iterate through each changed file. For every file, verify the following:

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AreaWhat to verify
Understand the changeWhy was it made? Review connected methods/files; note which ones you analyzed and why
LocationFile is in the correct directory
NamingFile name follows project naming conventions
ResponsibilityThe file's responsibility is clear; reason for change is understandable
ReadabilityVariable, function, and class names are descriptive and consistent
Logic & correctnessNo logic errors or missing edge cases
Code smellsScan for the smells in Code Smells Reference below
MaintainabilityCode is modular; no unnecessary duplication
Error handlingErrors and exceptions are handled appropriately
SecurityNo input validation gaps; no secrets committed to code
PerformanceNo obvious inefficiencies (e.g., unnecessary rebuilds, O(n^2) loops on large lists)
SOLID principlesAdherence assessed without forcing unnecessary boilerplate or over-abstraction
Flutter/Dart/Match against the project's loaded guidelines and conventions
DocumentationPublic APIs, complex logic, and new modules are documented
Test coverageNew or changed logic has sufficient tests (see Step 4)
StyleCode matches the project's style guide and linting rules
Existing codeIf the new changes look fine, also review surrounding existing (unchanged) code for smells and suggest refactors where relevant
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For generated files (e.g., *.g.dart, *.freezed.dart): confirm they are up-to-date and not manually modified.

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Scope discipline: Your job is not to comment on every change — it's to find errors and concrete improvement areas and comment on those. Don't manufacture comments where the code is fine.

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Flutter-specific checks

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(Note: The following is just an example using Bloc/Cubit; apply similar principles to Riverpod, Provider, or your chosen state management package.)

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// BAD — rebuilds entire tree on every state change\nBlocBuilder<MyCubit, MyState>(\n  builder: (context, state) => EntireScreen(state: state),\n);\n\n// GOOD — scope rebuilds to the widget that actually changes\nBlocSelector<MyCubit, MyState, String>(\n  selector: (state) => state.title,\n  builder: (context, title) => Text(title),\n);\n
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Code Smells Reference

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For each file, check for common code smells. Use refactoring.guru/refactoring/smells for definitions and suggested refactorings.

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CategorySmells
BloatersLong Method, Large Class, Primitive Obsession, Long Parameter List, Data Clumps
Object-Orientation AbusersAlternative Classes with Different Interfaces, Refused Bequest, Temporary Field, Switch Statements
Change PreventersDivergent Change, Parallel Inheritance Hierarchies, Shotgun Surgery
DispensablesComments (redundant), Duplicate Code, Data Class, Dead Code, Lazy Class, Speculative Generality
CouplersFeature Envy, Inappropriate Intimacy, Incomplete Library Class, Message Chains, Middle Man
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Step 4 — Evaluate the overall change set

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  1. Verify the change set is focused and scoped to its stated purpose — no unrelated changes.
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  2. Check that the PR/MR description accurately reflects the changes.
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Test coverage

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Verify test coverage explicitly — this is easy to skip and easy to fake, so be deliberate:

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Step 5 — Verify CI and tests

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  1. Ensure all tests pass in CI.
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  2. Check for new analyzer warnings or lint violations.
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  3. Fetch official documentation when unsure about best practices for a package.
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Checkpoint: If CI is red or tests are missing for new logic, flag as a blocking issue.

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Wrap-Up

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After the per-file pass, decide the outcome:

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Feedback Standards

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Output Format

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By default, provide the review as a chat response — a structured response covering each file:

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  1. Summary — what changed and why.
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  2. Issues — each with severity (suggestion / minor / major) and a concrete fix suggestion.
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  3. Questions — specific clarification requests per file.
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  4. Verdict — one of: Approved, Approved with suggestions, or Changes requested.
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Posting comments online (opt-in only). After presenting the chat review, ask the user whether they'd prefer you to also post these comments online on the PR/MR — so the team can see them, review them, and reply. Only post online if the user explicitly says yes. Never post to the platform on your own initiative.

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When the user does opt in, post issues as inline comments anchored to the right file and line (use proper position fields), with the conclusion/key-concerns as a top-level review comment and an approval when warranted. This requires a review-bot access token for the platform (GitHub/GitLab); if one isn't configured, let the user know and ask them to set it up before posting.

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Token safety. The token is a secret. You may check whether it exists and report its length to confirm it's configured, but never read, echo, log, print, or otherwise reveal the token value — not in chat, not in a file, not in a commit. Pass it to curl only by referencing the env var (e.g. $GITLAB_TOKEN), never by inlining the literal value, and avoid curl -v/--verbose (it prints the auth header). This is enforced by a PreToolUse hook (scripts/protect-token.sh) that blocks any Bash command which would expose the value. See the \"Handling the token safely\" section in each reference file for the safe existence/length check.

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The hook fires in both the Claude Code CLI and the Agent SDK. (SDK apps that set settingSources/setting_sources explicitly must include \"project\" for skill hooks to load; it's included by default.)

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For platform-specific API details, curl formats, and approval steps, follow:

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