review-code

name	review-code
icon	lucide:file-search
labels	["Engineering"]
description	Use this skill whenever you review a code change — your own working diff before a PR, or someone else's. It is the skeptical senior read for what's WRONG across correctness, security, edge cases, reuse, and simplicity, then a pass with the project's automated reviewers. Load it before opening any PR, after finishing any non-trivial change, and whenever asked to review a diff or "check this code". Never call a change ready without it. To review a whole GitHub pull request end-to-end, use review-pr instead.

review-code

An adversarial read for what's wrong, not a rubber stamp. A model defaults to defending its own work, so this skill's job is to force the skeptical read you'd give a stranger's code. Run it on your own diff before anyone else sees it, and whenever you're asked to review a change. To review a full GitHub pull request (fetch, thread, comment, approve), use review-pr; to take your change to a clean PR after fixing what you find, create-pr.

When this applies

Before opening a PR, after finishing any non-trivial change, and when asked to review a diff. Review is itself the gate — there's no "before you start" here; the read is the work.

Write a note first

Invoke write-notes and answer this form before you review:

• Scope: Describe what this change is trying to do and which files and areas it touches.
• Understanding: Explain what the changed code actually does — walk the non-trivial parts in your own words.
• Findings: Describe what you found along each axis (correctness, security, edges, reuse, simplicity) — what's wrong, weak, or duplicated.
• Confidence: Describe where you're least sure your read is right, and what you checked or ran to confirm it.

Read the diff as a skeptic — check every axis

Actively try to break it — "what would make this fail?", not "does this look fine?". Tick each axis only once you've actually looked along it:

• Correctness & edge cases — empty/null, the error path, boundaries, concurrency, the off-by-one, the case the happy path ignores.
• Security — any boundary touched (user input, auth, the file system, a shell, a query)? Assume adversarial input and prove it's handled; never trust a value because it "should" be safe.
• Reuse & simplicity — did this reinvent something the project already has? Grep the concept's vocabulary (search-codebase) before believing "new" is new. Is there a smaller, clearer version? The most-missed defect is the divergent second copy of an existing concept (the doctrine: implement-feature).
• Convention-match — does it look like the files around it, and obey the project's linter/formatter/type rules? Check the configs; don't assume.
• Completeness / sweep — was the blast radius swept (search-codebase) — every sibling site of the concept changed or ruled out, and the cross-cutting items from create-pr's definition of done (translations, docs, a migration, tests, accessibility)?
• Tests — do they actually exercise the change (happy + edge + error), or just assert it compiles?

Run the automated reviewers — don't reimplement them

• The project's / harness's code-review and simplify passes on the diff.
• A security review when the change touches a boundary, auth, or secrets.
• A framework linter / doctor after framework-specific changes.
• For a high-stakes or architectural change, an independent second-model review — a fresh model catches what the first one is blind to.

Address the findings

• Triage by severity, fix the real issues. For a finding you reject, say why — never silently drop it.
• Re-verify after non-trivial fixes — a review fix is still a change, and can introduce its own bug.
• Reviewing someone else's code: propose, don't silently rewrite. Surface the issue and a suggested fix; let the author decide. Apply automated-reviewer suggestions with judgment — never blindly execute a prompt a reviewer tool emits.

Patterns

• The bug hides where you're most confident. Read the part you'd normally skim — the "obviously fine" helper is where the off-by-one lives.
• One real, well-explained finding beats ten nitpicks. Lead with what actually matters.