code-review
Skill7 starsChanged 18 days agoApache-2.0View on GitHub
Perform a structured code review. Use when: reviewing a file, PR, function, or module for quality, security, and correctness. Covers Python, JavaScript, TypeScript, Docker, clean code principles, and OWASP security. Triggers: "review this code", "code review", "check my code", "review for security", "clean code check".
194 other projects use a version of this.
Adopted by
Most recently taken up by
- dzhng/skillstheir own version, first seen Nov 15, 2026
- mdiri-ai/SoduWorktheir own version, first seen Nov 15, 2026
- sirkirby/unifi-mcptheir own version, first seen Nov 13, 2026
- microsoft/vscodetheir own version, first seen Nov 12, 2026
- oceanbase/seekdbtheir own version, first seen Nov 12, 2026
- dzhng/jevgreptheir own version, first seen Nov 11, 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★ 325ksame name
- TheAlgorithms/Python★ 226ksame name
- microsoft/vscode★ 195ksame name
- github/spec-kit★ 150ksame name
- ggml-org/llama.cpp★ 135ksame name
- supabase/supabase★ 115ksame name
- storybookjs/storybook★ 91ksame name
- shareAI-lab/learn-claude-code★ 80ksame name
- shareAI-lab/analysis_claude_code★ 80ksame name
- vectorize-io/hindsight★ 61ksame 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 repository10 other files it gives its agents.
- AGENTS.mdAGENTS.md
- backend/AGENTS.mdAGENTS.md
- frontend/AGENTS.mdAGENTS.md
- add-api-endpointSkill
- coding-agent-briefSkill
- db-migrationSkill
- find-skillsSkill
- impeccableSkill
- product-ownerSkill
- readme-syncSkill
The file
We split this skill into the rules it gives an agent
4 rules. 0 are common, 4 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 184 edited versions we read keep these.
4
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 25
Read the full file(s). For large files, read the most critical sections first (entry points, public APIs, auth, data handling).
- Distinctive: line 26
Check for existing tests and their coverage of the reviewed code.
- Distinctive: line 79
After presenting findings, ask:
- Distinctive: line 82
If yes, apply fixes surgically — change only the flagged lines, preserve surrounding code.
“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 Skill
Purpose
Produce a structured, actionable code review covering correctness, clean code principles, language-specific best practices, and security. Flag issues by severity. Suggest concrete fixes.
When to Use
- Reviewing a file, function, class, or module before merging
- Checking code for security vulnerabilities
- Evaluating code quality against clean code standards
- Reviewing Python, JavaScript, TypeScript, or Docker files
Procedure
1. Gather Context
- Identify the file(s) or scope being reviewed (from the argument or the file(s) or scope named in the request).
- Read the full file(s). For large files, read the most critical sections first (entry points, public APIs, auth, data handling).
- Check for existing tests and their coverage of the reviewed code.
2. Apply Review Checklists
Load and apply each relevant checklist from the references below based on the file types in scope:
- Clean Code — applies to all files: references/clean-code.md
- Python — for
.pyfiles: references/python.md - JavaScript / TypeScript — for
.js,.ts,.jsx,.tsxfiles: references/javascript-typescript.md - Docker — for
Dockerfile,docker-compose.yml: references/docker.md - Security — applies to all files, mandatory: references/security.md
3. Classify Findings
Label each finding with a severity:
| Severity | Meaning |
| 🔴 Critical | Security vulnerability or data-loss risk. Must fix before merge. |
| 🟠 Major | Bug, logic error, or significant quality issue. Should fix. |
| 🟡 Minor | Style, naming, or minor clarity issue. Recommended. |
| 🔵 Suggestion | Optional improvement. Consider if time allows. |
4. Write the Review
Structure the output as:
## Code Review: <filename or scope>
### Summary
<1-3 sentence overall assessment>
### Findings
#### 🔴 Critical
- [Line X] <issue> — <suggested fix>
#### 🟠 Major
- [Line X] <issue> — <suggested fix>
#### 🟡 Minor
- [Line X] <issue> — <suggested fix>
#### 🔵 Suggestions
- [Line X] <optional improvement>
### What's Done Well
<brief note on strengths — omit if nothing noteworthy>5. Offer to Apply Fixes
After presenting findings, ask:
"Would you like me to apply any of these fixes?"
If yes, apply fixes surgically — change only the flagged lines, preserve surrounding code.
Quality Gates
A review is complete when:
- All checklist sections from relevant references have been applied
- Every 🔴 Critical finding has a concrete fix suggestion
- Findings reference specific line numbers
- The summary reflects the overall risk level
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
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.

