code-review
Skill808 starsChanged 4 months agoMITView on GitHub
MCP-powered multi-dimensional code review for .NET projects. Uses Roslyn analysis tools for antipatterns, diagnostics, references, and dependency graphs combined with structured manual review. Prioritizes effort with blast-radius scoring — data access, security, concurrency, and integration boundaries before style — and produces severity-categorized findings with actionable fixes. Use when: "review", "code review", "PR review", "review this", "review my code", "check code quality", "review changes", "what should I review", "review priorities", "blast radius", "critical path".
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
- supabase/supabasetheir own version, first seen Nov 8, 2026
- The-Vibe-Company/quivrtheir own version, first seen Nov 8, 2026
- dzhng/jevgreptheir own version, first seen Nov 7, 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 repository57 other files it gives its agents.
- AGENTS.mdAGENTS.md
- .claude/rules/agents.mdAGENTS.md
- .codex/AGENTS.mdAGENTS.md
- .opencode/AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- .cursor/rules/dotnet-rules.mdCursor rule
- api-versioningSkill
- arch-checkSkill
- architecture-advisorSkill
- aspireSkill
- authenticationSkill
- avaloniaSkill
- build-fixSkill
- cachingSkill
- checkpointSkill
- ci-cdSkill
- clean-architectureSkill
- configurationSkill
- console-cliSkill
- container-publishSkill
- convention-learnerSkill
- dddSkill
- dependency-injectionSkill
- desktop-mvvmSkill
- de-sloppifySkill
- dockerSkill
- dotnet-initSkill
- ef-coreSkill
- error-handlingSkill
- health-checkSkill
- httpclient-factorySkill
- instinct-systemSkill
- loggingSkill
- messagingSkill
- migrateSkill
- minimal-apiSkill
- modern-csharpSkill
- native-aotSkill
- openapiSkill
- opentelemetrySkill
- outdatedSkill
- planSkill
- project-setupSkill
- project-structureSkill
- resilienceSkill
- scaffoldSkill
- scalarSkill
- security-scanSkill
- serilogSkill
- specSkill
- tddSkill
- testingSkill
- token-reportSkill
- verifySkill
- vertical-sliceSkill
- workflow-masterySkill
- wrap-upSkill
The file
We split this skill into the rules it gives an agent
4 rules. 0 are common, 3 are distinctive, and 1 is 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.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 32
After a major refactor to verify no regressions or design drift
- Distinctive: line 69
Check whether callers handle changed return types and new error cases.
- Very specific: line 73
Verify dependency direction (Domain → nothing.
- Distinctive: line 96
Every finding states what's wrong, why it matters, and how to fix it.
“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 — MCP-Powered Code Review
What
Performs a multi-dimensional code review combining Roslyn MCP analysis with structured manual review. Effort follows the 80/20 rule: the 20% of code that causes 80% of incidents (data access, security, concurrency, integration boundaries) gets thorough review; style and formatting are left to tooling.
Review dimensions: Correctness (logic, edge cases, null handling, async pitfalls), Security (auth gaps, injection, secrets, CORS), Performance (N+1, allocations, missing cancellation), Architecture compliance (layer violations, boundary breaches), Test coverage (behavior tests for changed types).
When
- "Review this", "code review", "PR review", before merging a pull request
- After a major refactor to verify no regressions or design drift
- "What should I review?" — deciding where review effort goes on a large change
- Onboarding to unfamiliar code and wanting a quality assessment
How
Step 1: Scope and Score Blast Radius
Identify changed files (git diff main...HEAD, specified files, or module).
Score each change to set review depth — blast radius determines depth, not
line count. A one-line middleware change outranks a 300-line rename.
| Blast Radius | Examples | Depth |
| Critical | Middleware, auth, DB migrations, shared kernel, CI/CD | Thorough — every code path |
| High | Public API changes, message consumers, EF configuration, new module | Focused — consumers + behavior |
| Medium | New feature following existing patterns, bug fix, new endpoint | Standard — checklist pass |
| Low | Docs, formatting, renames, logging statements | Glance — build + tests pass |
Step 2: MCP Analysis (before reading any file)
detect_antipatterns(projectFilter: "affected-project") → async void, DateTime.Now, new HttpClient(), broad catch
get_diagnostics(scope: "project", path: "affected-project") → new warnings, nullability issuesDistinguish newly introduced findings from pre-existing ones — focus on new.
Step 3: Blast Radius Verification
For each modified public API:
find_references(symbolName: "ModifiedType") → count consumers; high count = high risk
get_dependency_graph(symbolName: "ModifiedMethod", depth: 2) → ripple effectsCheck whether callers handle changed return types and new error cases.
Step 4: Architecture Compliance
Verify dependency direction (Domain → nothing; Infrastructure → Application →
Domain) via get_project_graph and detect_circular_dependencies. Per
architecture: VSA features don't cross-reference; Clean Architecture domain has
zero project references; Modular Monolith modules communicate only via
integration events — find_references on a module's DbContext should resolve
only inside that module.
Step 5: Manual Review — Priority Order
Review what tools can't catch, highest-risk areas first:
| Priority | Area | Check |
| 1 | Data access | N+1 (missing Include/projection), raw SQL with user input, missing CancellationToken |
| 2 | Security | Every endpoint has explicit [Authorize]/[AllowAnonymous], input validated, no secrets in code, no PII in logs |
| 3 | Concurrency | Token propagated end-to-end, no .Result/.Wait(), thread-safe shared state |
| 4 | Integration | Retry/timeout on external calls, consumer idempotency, no swallowed exceptions |
| 5 | Correctness | Business logic, edge cases (empty/null/concurrent), entities mapped to DTOs at the boundary |
| 6 | Tests | Behavior tested (not implementation); happy path + main error case covered |
| — | Style/naming | Mention only after the above; formatters and analyzers own this |
Step 6: Produce the Review
Every finding states what's wrong, why it matters, and how to fix it. Never bury a security bug under naming nits.
## Code Review: [Scope]
### Summary
[1-3 sentences: scope, risk level, recommendation]
### Critical (must fix before merge)
- **[Title]** — [file:line] [What's wrong. Why it matters. How to fix.]
### Warnings (should fix, creates tech debt)
- **[Title]** — [file:line] [...]
### Suggestions (nice to have)
- **[Title]** — [file:line] [...]
### Architecture Compliance
[PASS/WARN with boundary-violation notes]
### Test Coverage
[Which changed types have tests; specific scenarios to add]
### What's Good
- [Always include — reinforce good patterns]Quick review (1-2 files, low blast radius): run detect_antipatterns +
get_diagnostics, read for correctness, output Summary + Issues + What's Good.
Example
User: /code-review the changes in this PR
Claude: 7 changed files across 3 projects. CreateOrder touches data access
and a public endpoint — High blast radius. Running MCP analysis...
## Code Review: Order Processing Feature
### Summary
Adds CreateOrder/GetOrder endpoints with EF Core persistence. Well-structured
VSA feature. Two issues need attention before merge.
### Critical (must fix before merge)
- **Missing CancellationToken propagation** — CreateOrder.cs:38
SaveChangesAsync() called without the token. Client disconnects keep
burning server resources. Pass `ct` from the handler parameter.
### Warnings (should fix, creates tech debt)
- **N+1 query in GetOrder** — GetOrder.cs:25
Order loaded without `.Include(o => o.Items)`; one lazy load per item
during serialization. Eager-load or use a projection.
### Suggestions (nice to have)
- **Seal the handler** — CreateOrderHandler.cs:10
Not designed for inheritance; `sealed` enables devirtualization.
### Architecture Compliance
PASS — all changes within Features/Orders/, no layer violations.
### Test Coverage
Happy path covered. Add tests for validation failure and not-found.
### What's Good
- Clean command/query separation; FluentValidation covers edge cases
- Response DTOs are records, no entity leaksRelated
/de-sloppify— Cleanup pass for the style/formatting issues review skips/verify— Automated verification pipeline (complements manual review)/health-check— Broader project health assessment beyond a single PR
Does it work?
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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.

