code-review
Skill2 starsChanged 3 months agoMITView on GitHub
Structured review of changed or specified code against this project's rules, plus real correctness/security/performance problems. TRIGGER when: the user asks to review changes, a PR, a branch, a diff, staged work, or named files ("review my changes", "code review this PR", "check this branch", "review the diff"). DO NOT TRIGGER when: the user only wants to understand how code works or learn a flow (exploration/explanation, not review).
194 other projects use a version of this.
Adopted by
Most recently taken up by
- doggy8088/spec-kittheir own version, first seen Nov 9, 2026
- strelov1/freehiretheir own version, first seen Nov 9, 2026
- storybookjs/storybooktheir own version, first seen Nov 8, 2026
- codewithmukesh/dotnet-claude-kittheir own version, first seen Nov 8, 2026
- supabase/supabasetheir own version, first seen Nov 8, 2026
- The-Vibe-Company/quivrtheir own version, first seen Nov 8, 2026
Used with
Projects with it also use close-spec, design-with-images and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
dzhngSkillclose-spec
When a spec under specs/<feature>/ is done shipping (a write-spec build, or any planned task that produced a spec), archive it to specs/done/ and rewrite it from a build-plan into a durable rationale — the why, the principles, the invariants — pointing back to the real code for the how. Use when implementation has landed and the plan no longer matches what shipped, or the user says a feature/spec is finished. Pairs with [write-spec](../write-spec/SKILL.md) (the plan this closes) and [review](../review/SKILL.md) (run before closing).
Also in 5 projects that use this
dzhngSkilldesign-with-images
Explore UI and visual design with image generation, then iterate the real implementation against the user-selected concept. Use when brainstorming visual directions, offering mockup variants, or implementing an approved generated design; do not stop at the mockups or the first code approximation.
Also in 5 projects that use this
PydanticSkilladd-new-model
Add support for a newly-released language or image generation model in pydantic-ai (e.g. openai:gpt-5.6, anthropic:claude-sonnet-5, openai:gpt-image-2). Use when a provider ships a new model id and you need to wire literals, profile flags, adapters, and tests to recognize it. Handles SDK-lag, gateway list conventions, capability probing, and direct image-model geometry.
Also in 9 projects that use this
transitive-bullshitSkillcompare-screenshots
Compare screenshots against the intended design, distinguishing approved references from historical baselines. Use for iterative implementation matching, before/after visual review, objective image telemetry, or checking a lone capture for flat, empty, or badly framed content.
Also in 5 projects that use this
Microsoft AzureSkillazsdk-common-apiview-feedback-resolution
Analyze and resolve APIView review feedback on Azure SDK PRs. **UTILITY SKILL**. USE FOR: APIView comments, API review feedback, SDK API surface changes. DO NOT USE FOR: general code review, non-APIView feedback. INVOKES: azure-sdk-mcp:azsdk_apiview_get_comments, azure-sdk-mcp:azsdk_customized_code_update, azure-sdk-mcp:azsdk_typespec_delegate_apiview_feedback, azure-sdk-mcp:azsdk_run_typespec_validation, azure-sdk-mcp:azsdk_package_generate_code.
Also in 6 projects that use this
Microsoft AzureSkillazsdk-common-generate-sdk-locally
Generate and finalize Azure SDKs locally from TypeSpec, including build, checks, tests, changelog, metadata, and version updates by default. WHEN: "generate SDK locally", "build SDK", "run SDK tests", "run CI checks", "validate package", "run checks", "update changelog", "fix SDK build errors", "resolve SDK generation errors", "customize TypeSpec", "rename SDK client", "rename SDK model", "hide operation from SDK", "fix analyzer errors", "resolve customization drift", "create subclient", "update metadata", "update version". INVOKES: azsdk_verify_setup, azsdk_package_generate_code, azsdk_package_build_code, azsdk_package_run_check, azsdk_package_run_tests, azsdk_customized_code_update, azsdk_package_update_changelog_content, azsdk_package_update_metadata, azsdk_package_update_version.
Also in 6 projects that use this
- +4 more from dzhng
- +2 more from Azure
Other versions194 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 194
- mattpocock/skills★ 309ksame name
- TheAlgorithms/Python★ 226ksame name
- microsoft/vscode★ 195ksame name
- github/spec-kit★ 149ksame name
- ggml-org/llama.cpp★ 134ksame name
- supabase/supabase★ 115ksame name
- storybookjs/storybook★ 91ksame name
- shareAI-lab/analysis_claude_code★ 80ksame name
- shareAI-lab/learn-claude-code★ 80ksame name
- vectorize-io/hindsight★ 60ksame name
184 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository48 other files it gives its agents.
- analystSkill
- api-designSkill
- arch-healthSkill
- audit-qualitySkill
- audit-securitySkill
- bootstrapSkill
- clean-mvpSkill
- close-epicSkill
- codebase-designSkill
- decomposeSkill
- deploySkill
- depsSkill
- diagnoseSkill
- discoverSkill
- distillSkill
- domain-modelSkill
- epic-statusSkill
- grillSkill
- grill-with-docsSkill
- handoffSkill
- ideaSkill
- implementSkill
- incidentSkill
- onboardSkill
- perfSkill
- preflightSkill
- prepareSkill
- prompt-masterSkill
- prototypeSkill
- refactorSkill
- retroSkill
- revisitSkill
- rolloutSkill
- scaffoldSkill
- select-techSkill
- spikeSkill
- sweepSkill
- tddSkill
- teardownSkill
- testSkill
- test-specSkill
- threat-modelSkill
- to-issuesSkill
- to-prdSkill
- triageSkill
- update-kitSkill
- which-skillSkill
- writing-skillsSkill
The file
We split this skill into the rules it gives an agent
9 rules. 0 are common, 3 are distinctive, and 6 are very specific to this project.
0
Common
Most of the 184 edited versions we read keep these.
3
Distinctive
This author's own choices. Worth a look.
6
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 21
Evidence-gate every finding — the false-positive guard: Before you flag something, prove it isn't intentional: read the callers (grep -rn …
- Very specific: line 42
Read .claude/PROJECT.md — stack, architecture, dependency direction, commands.
- Very specific: line 44
Always read .claude/rules/_generic/: code-quality, exception-patterns, testing, comments, boundary-validation, external-api-integration.
- Very specific: line 46
After resolving the target (Phase 1), read every .claude/rules/* whose paths frontmatter matches a changed file.
- Distinctive: line 90
Legibility is judged before the explanation: Before collecting the block, write down where the code alone did not tell you what it does — …
- Very specific: line 155
Before reporting, run every CRITICAL candidate through the finding-verifier agent (batches of 3–4 in parallel.
- Distinctive: line 171
Do not apply any fix.
- Distinctive: line 174
Must fix before merge.
- Very specific: line 201
When the ask is architectural (a refactor, a new module, "is this safe to build on?"), you may additionally label the changeset with the …
“Common” is measured: kept by at least 6 in 10 of the 184 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Code Review
Review-only. Find problems; do not fix them. Every finding traces to a documented rule OR a real correctness / security / performance defect — never to taste.
Evidence-gate every finding — the false-positive guard. Before you flag something,
prove it isn't intentional: read the callers (grep -rn the symbol) and the change's
history (git log -p -- <file>), and check it isn't a sanctioned exception — an ADR /
decision record, or a paths-matched rule that explicitly blesses the pattern. A pattern
with a logged reason is intent, not a defect. No evidence, no finding.
Name the mechanism, not the feeling. "Cleaner", "more idiomatic", "too complex" precedes a finding: restate it as the property of this code that makes it hard and what that costs — a wrong call invited, a change broken, a reader misled — or drop it. One feeling is a finding: I cannot hold this in my head; rank it, and say what defeated you (files, hops, the invariant).
Phase 0 — Load profile
Tooling preflight — one call, before step 1. Some tools this skill relies on are deferred
by the harness: the session lists them by name only and loads their schemas on demand, so calling
one before it is fetched fails. Listing a tool in allowed-tools does not un-defer it. Issue
a single ToolSearch up front covering the whole run — select:SendMessage,TaskOutput
(continuing the same deep-analyzer / finding-verifier agent instead of respawning, collecting
a backgrounded pass) — instead of one round-trip per discovery. A name already loaded costs
nothing to include; a schema discovered missing mid-run costs a turn.
- Read
.claude/PROJECT.md— stack, architecture, dependency direction, commands. IfCONTEXT.mdexists, read it too — judge naming against the project's ubiquitous language. - Always read
.claude/rules/_generic/:code-quality,exception-patterns,testing,comments,boundary-validation,external-api-integration. - After resolving the target (Phase 1), read every
.claude/rules/*whosepathsfrontmatter matches a changed file. These stack/domain packs carry the framework- and library-specific checks — never hardcode such checks here. IfPROJECT.mdis missing or stillTEMPLATE, fall back to the rootCLAUDE.md(always in context) for stack/architecture/commands; note that you're running without a kit profile and that stack/library-specific checks are unavailable until/bootstrapruns, and review against the generic rules only. Only if neither carries the project's facts, say so.
Phase 1 — Resolve the target
From $ARGUMENTS, in order:
- A file or directory path → review those files.
staged→git diff --cached --name-only.HEAD~N(or a commit/branch ref) →git diff <ref>...HEAD --name-only.- Nothing → working-branch diff:
git diff --name-only(uncommitted). If empty, fall back togit diff --cached --name-only, then to the branch's merge-base diff.
Skip binary, lock, and generated files. Read each surviving file in full and its
diff hunks, so you judge both the change and its context. Note each file's layer/module
from PROJECT.md → Architecture.
If the diff does not fit, stop and narrow — never truncate. A truncated read loses coverage
silently while the report still looks complete. Narrow explicitly instead: git diff --stat for
the map of changes, then whole files one at a time, and name in the summary what stayed unread
(core.md → verdicts carry denominators).
Collect the change's decisions — the provenance block. List the decisions the diff embodies before judging any of them, each tagged:
[AGENT]— decided by an agent while building. Every row of the plan's Deviation Report is one of these unless itsDecided bycell carries a quote.[USER]— decided by the user, and only with the user's verbatim quote, in its original language, unparaphrased. In a fresh review session the build conversation is gone, so the quote comes from the artifact: the Deviation Report'sDecided bycell, which/implementfills at the moment of the answer. No quote, no[USER]tag — it is[AGENT]. An agent that "remembers" a user decision is precisely the mechanism this tag exists to catch.
An empty block is a normal outcome (the plan held, nothing was quoted) — never invent decisions
to fill it. The block is context for why the code looks like this, never established truth:
press [AGENT] decisions hardest, because an agent's own choice re-labelled "the requirement"
is how a review walks past its own author. A [USER] decision that looks wrong is not silently
accepted either — raise it for discussion rather than reviewing around it.
Legibility is judged before the explanation. Before collecting the block, write down where
the code alone did not tell you what it does — an unnamed load-bearing order, a value whose
origin you had to trace. Not a second pass: in Phase 2 a note lands on an anchor or is dropped.
Phase 2 — Review workflow
Examine every changed file in this focus order; stop chasing once a category is clean.
- Correctness — does it do what it claims? Trace the happy path and one failure path. Edge cases (empty, boundary, null/NaN, off-by-one), error paths and their safety, type/conversion hazards, concurrency (races, shared mutable state), and side effects reaching outside the change.
- Security — untrusted input reaching a sink, injection, unsafe deserialization,
missing authorization/scoping, secrets or PII in code or logs, fail-open where it
should fail-closed. Apply the
paths-matched stack security rules. - Performance — repeated I/O or queries in loops, unbounded fetches, missing batching/streaming, needless allocation on hot paths. Apply stack rules for the framework's specific anti-patterns.
- Readability / convention — naming, function size, duplication, dead code,
wrong-layer logic and dependency-direction violations, magic values. Judge against
code-quality.mdand the matched stack packs. Four checks that list does not reach:- One name, two concepts — naming rules check a name in isolation, so a parameter reused for two concepts at two call sites passes all of them. Does it mean one thing everywhere?
- Each conditional, classified — picking which object handles the case is fine; inspecting a value and supplying behaviour on its behalf means a type is missing.
- An abstraction that does not pay — which error can the code no longer raise? If that list outweighs the code it simplifies, the duplication was cheaper.
- A public entry point, misread — an ignored return value, or a flag assumed to raise: misreading that fails open is a finding, misreading that fails closed is not.
Mandatory when the change writes state: the write-path check. For every state-mutating
path in the diff (persist, accumulate, finalize, publish), check idempotency and races
before any verdict: can two paths reach the same write? does a retry or replay
double-apply? is there a guard (status='open', unique constraint, upsert, processed-id
set) or only the caller's discipline? The invariant is already a write-rule
(.claude/rules/_generic/resilience.md → Idempotency); this is its read-side obligation. A
double-apply is CRITICAL, not a smell. If the write-path is out of the diff and you did not
open it, say so in the summary rather than letting the review imply coverage
(core.md → verdicts carry denominators).
The verification question. One lens over the change, not a separate pass: if the
behaviour this change exists to produce broke where it is actually used, would verification
fail? Trace that behaviour to its consumers (grep -rn the symbol) instead of measuring the
module's coverage, and state the concrete regression that would ship green — no demonstration,
no finding, the same evidence gate as everything else. Tests that do not answer the question:
ones that never executed (testing.md — unregistered, filtered out, skipped, disabled),
assertions on source text rather than behaviour, no-throw and snapshot-only checks, and
mock-only paths that never reach the changed code. Report a gap as missing tests for changed
behaviour (STRUCTURAL).
Mandatory: comment-quality check. Audit every added/changed comment against
.claude/rules/_generic/code.md — restating the code, commented-out code,
debug/TODO leftovers, wrong language, multi-idea or unterminated comments. Report each
as STYLE.
A notice is not a mitigation. A risk answered with a comment, a NOTE:, a README line or a
log warning is unmitigated — "it was documented" is no defence; a mitigation is a mechanism, or
it sits where it cannot be walked past. Code that was hard to read is fixed by subtraction first,
then by explaining only what survived the deletion.
For a complex or high-risk module (intricate logic, security-sensitive, large refactor),
delegate a deeper pass to the deep-analyzer agent (or the security-reviewer
agent when the risk is security-sensitive) and fold its findings in.
Phase 2.5 — Adversarial verification (CRITICAL findings)
Before reporting, run every CRITICAL candidate through the finding-verifier agent
(batches of 3–4 in parallel; its job is to KILL the finding — ambiguity defaults to REFUTED).
Then:
- CONFIRMED → stays CRITICAL.
- REFUTED → dropped, with a one-line reason in a "Dropped after verification" note.
- STALE / UNVERIFIED → downgraded to STRUCTURAL with the uncertainty named.
This is the same evidence gate /arch-health applies before its ranked table: a
plausible-but-wrong CRITICAL costs the user more than a missed STYLE nit ever will. Skip this
phase only when there are no CRITICAL candidates, or the target is a plan/epic doc (see below).
Phase 3 — Output
Group findings by severity. Each finding: file:line — the problem — the rule it
violates or the concrete correctness/security/performance risk — a concrete fix.
Do not apply any fix.
- CRITICAL — correctness bugs, security holes, data-integrity or missing-authz risks. Must fix before merge.
- STRUCTURAL — wrong-layer logic, dependency/convention violations, duplication, performance smells, missing tests for changed behaviour.
- STYLE — naming, comment-quality violations, minor readability nits.
CRITICAL findings carry their code; STRUCTURAL and STYLE carry path:line. For each
CRITICAL, quote the 2–3 lines around the problem so the user decides with the code in front of
them instead of blind. This applies only to this report — ephemeral output, read once, where
a line anchor plus a snippet is the cheapest proof. It does not reach durable artifacts: plan
files, decision records and the plan write-path below keep citing symbols, not line-anchored
snippets (rules/_generic/code.md → durable text cites symbols, ephemeral output cites lines).
## Code Review — <target>
### CRITICAL
- `path:line` — <problem>. Violates <rule|risk>. Fix: <concrete change>.
```<lang>
<the 2–3 lines around the problem>
```
### STRUCTURAL
- ...
### STYLE
- ...End with one line: X critical, Y structural, Z style.
When the ask is architectural (a refactor, a new module, "is this safe to build on?"),
you may additionally label the changeset with the shared quality verdict — SOUND /
SHORTCUT / HACK as defined by the quality-auditor agent — mapping HACK→CRITICAL,
SHORTCUT→STRUCTURAL. Same evidence gate applies: a verdict below SOUND needs the proof above —
and SOUND on a module that writes state needs its write-path opened, else the label is
bounded in words ("sound across the read-paths I opened; write-path unread").
When the target is a plan/epic (the one write exception)
Review-only forbids fixing the code — but when the review targets a plan or epic doc (not
app code), the Artifact-Continuity Contract (rules/_generic/planning-artifacts.md) applies:
fold the findings into the affected plan(s), cross-link this review from each plan's header
(and the overview's "Reviews & decisions — READ FIRST" index), and sweep siblings the
findings touch. This updates the plan DOC only — never the application code, which stays
review-only.
Siblings
- To apply quality cleanups (style/structural fixes), point to
/refactor. - To debug a specific failure, point to
/diagnose. - To close test-coverage gaps, point to
/test.
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Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

