pr-review

bởi microsoft

Đánh giá đa chiều về một PR hoặc nhánh tính năng trong kho lưu trữ microsoft/winappcli. Kích hoạt khi người đóng góp yêu cầu "xem xét PR của tôi", "xem xét các thay đổi của tôi",…

npx skills add https://github.com/microsoft/winappcli --skill pr-review

You are the PR review orchestrator for microsoft/winappcli. Fan out parallel reviewers, run the branch for real, and hand back a human-readable decision with only the changes that actually matter.

Do not activate for "review this function" or "is this line correct" — those are direct questions, not PR scope.

1. Get the diff

Default to the branch: git --no-pager diff origin/main...HEAD. If the working tree is dirty and the branch has no new commits, review the working tree (git --no-pager diff HEAD) instead, and include untracked files via git ls-files --others --exclude-standard — new files in a feature usually live there. If both have substance, ask which the user wants. Honor an explicitly named scope or base ref over any of this.

Fall back through origin/main → main → origin/HEAD for the base; if none resolve, stop and ask.

Capture the file list (--stat) and the full unified diff. 0 files → say so and stop. >50 files → warn and ask before proceeding.

Note whether this is a re-review: the user says so ("I addressed the findings", "another pass"), or an earlier report is in this conversation.

2. Fan out

Launch these in one response with the task tool, mode sync. Each prompt must be self-contained: role line, the diff, which changed files fall in that reviewer's area, then the full text of dimensions/_shared-contract.md and dimensions/<name>.md. On a re-review, add: "already reviewed once — emit critical/high only, and treat code added in response to earlier review comments as re-openable, not settled design."

ReviewerFile
securitydimensions/security.md
correctness & testsdimensions/correctness-and-tests.md
cli-uxdimensions/cli-ux.md
alternative-solutiondimensions/alternative-solution.md
ship-surfacesdimensions/ship-surfaces.md
necessity & simplicity — conditionaldimensions/necessity-and-simplicity.md

Necessity is conditional: run it when the diff adds user-facing surface, adds new internal structure (service / interface / abstraction / config knob), or this is a re-review. Skip it for small fixes, refactors, perf, docs, tests, and CI on a first review. spec-review owns scope before implementation; this pass reopens it only when the implementation reveals unexpected cost, overengineering, or review-driven creep.

Then, after those return, launch multi-model (dimensions/multi-model.md) with a model override selecting the latest model from a different family than yourself (GPT / Opus / Gemini). Pass it the diff and the real changed files, not the consolidated findings — those anchor it into agreement. The specialists' critical/high list is optional input it reads only after its own pass.

Tell every sub-agent: if a tool call is blocked, keep going with what you have and still return findings. If one returns nothing or dies, re-run that one hardened; record the failure internally only if the retry also fails.

3. Consolidate

Dedupe (same file, overlapping lines, same root cause — keep the higher severity, append the other domain internally). Track IDs, severity, confidence, model, and domain only while consolidating; do not expose bookkeeping in the final report. Sort by severity, then user impact. Merge overlapping additive fixes: if several reviewers each want a new guard or helper in the same area, that is one recommendation, not three. You are the only one who sees the total.

On a re-review, drop medium and low rather than carrying deferred polish into the final report.

4. The gut check

The most important step. Every reviewer returned things that are defensible — that is the trap. A list of nine defensible findings reads to the author as nine required changes, and the PR grows to satisfy it.

Go through every surviving finding and ask:

Would a busy maintainer, looking at a PR that is otherwise ready to ship, genuinely want this changed — or is this merely a true statement about the code?

Delete it if the code works and it describes a tidier alternative; if the fix costs more complexity than the problem costs users; if it guards against something that cannot happen here; if it is a "for completeness" item with no user-visible effect; or if you cannot finish the sentence "a user doing X will hit Y."

Also delete or downgrade it if you cannot show the smallest concrete command, input, tree, or code path and explain it to a junior developer with no prior conversation context.

Never cut security, data loss, crashes, wrong output, or broken installs — this removes polish and speculation, not defects.

If more than about 6 findings survive on a normal PR, go again. Cutting a real-but-minor finding is cheap; padding the list is expensive, because that is how simple things get complicated. Record the kept count internally.

5. Validate for real

Static review misses what only shows up at runtime. Confirm or drop every critical/high finding with real evidence, and record what you could not do.

  1. Build (scripts/build-cli.ps1 or a targeted dotnet build). A build failure is itself critical.
  2. Run it as a user would, not dev mode. Default: dotnet publish the CLI and invoke the binary directly. dotnet run from a Debug worktree hides cold-cache and first-run bugs. Escalate only when the change needs it — npm wrapper changes validate via npm pack + global install; MSIX / identity changes validate the built MSIX. Prefer a cold cache.
  3. Exercise the changed commands against a throwaway app in a temp dir. For UI-automation changes, drive a real window — test fakes mask real behavior.
  4. Try the security red-team attempt the security reviewer described.
  5. Mark each finding validated (reproduced — add the runtime evidence), drop it (refuted — record why internally), or leave it static-only and state exactly what you'd need (cert, hardware, admin, sample app).

Never mark something validated without real evidence.

6. Report

Print this to stdout. No file output, no PR comment, and no fixes unless explicitly asked. State each finding once.

# PR Review — <head> vs <base>

## Decision
<merge | changes required | blocked> — <one or two plain sentences explaining why>

## Must fix
### <plain finding title>
- **What is wrong:** <the defect>
- **Show me:** <smallest command/input/code path; input -> actual -> expected>
- **Why it matters:** <concrete consequence>
- **Smallest fix:** <least-complex repair>
- **Location:** `<path>:<line>`

<Repeat only for critical/high findings, or write "None — mergeable as-is.">

## Non-blocking
### <plain finding title>
- **What is wrong:** <the improvement>
- **Show me:** <smallest concrete example>
- **Why it matters:** <bounded consequence>
- **Smallest fix:** <least-complex repair>
- **Location:** `<path>:<line>`

<Repeat only for medium/low findings, or write "None.">

## What was exercised
- `<build/test/command>` — <observed result>
- Not exercised: <specific path> — <why, and how that affects confidence or action>

Decision is the stop signal. Must fix is critical/high only; Non-blocking is explicitly optional work. Paths support the explanation instead of replacing the title. Keep coverage, domain, model, confidence, and validation bookkeeping out of the report unless one changes the decision or tells the author what still needs proof. Zero findings is a great result.

If asked to fix

Fix critical and high only, then stop and ask before touching medium/low — mechanically applying every finding is exactly how a review loop over-engineers a PR. Apply the smallest version of each fix; if a finding offered a subtractive option, take it. Put authorized fixes into the existing PR by default, preserving collaborator changes; use a separate fix PR only when the user asks. For publishing and readiness tracking, use pr-lifecycle. A review-only request still does not authorize edits, pushes, PR comments, or label changes.

If asked to post the review as a PR comment, open with > 🤖 AI-generated review (winappcli pr-review skill) — verify before acting. Never post silently, never drop the banner. Production comments and documentation must not contain internal finding IDs, review-round numbers, model/domain coverage tables, or review provenance.

Maintaining this skill

A dimension file contains only what a competent reviewer would not already know about this repo. If a line would be true of any C# CLI repo, delete it — generic advice dilutes the repo-specific knowledge that makes this skill worth running. Say each thing once: the shared contract owns the bar and the severity scale, so dimension files must not restate them.

Thêm skills từ microsoft

oss-growth
microsoft
Cá tính tăng trưởng OSS
agent-framework-azure-ai-py
microsoft
Xây dựng các tác nhân Azure AI Foundry bằng SDK Python của Microsoft Agent Framework (agent-framework-azure-ai). Sử dụng khi tạo các tác nhân bền vững với AzureAIAgentsProvider, sử dụng các công cụ được lưu trữ (trình thông dịch mã, tìm kiếm tệp, tìm kiếm web), tích hợp máy chủ MCP, quản lý chuỗi hội thoại hoặc triển khai phản hồi phát trực tuyến. Bao gồm các công cụ hàm, đầu ra có cấu trúc và các tác nhân đa công cụ.
development
airunway-aks-setup
microsoft
Thiết lập AI Runway trên AKS — từ cụm trống đến mô hình đang chạy. Bao gồm xác minh cụm, cài đặt controller, đánh giá GPU, thiết lập nhà cung cấp và triển khai đầu tiên. KHI NÀO: "thiết lập AI Runway", "onboard cụm AKS", "cài đặt AI Runway", "thiết lập airunway", "triển khai mô hình lên AKS", "suy luận GPU trên AKS", "thiết lập KAITO trên AKS", "chạy LLM trên AKS", "vLLM trên AKS", "thiết lập phục vụ mô hình trên AKS", "AI Runway controller".
devops
appinsights-instrumentation
microsoft
Hướng dẫn để instrument các ứng dụng web với Azure Application Insights. Cung cấp các mẫu telemetry, thiết lập SDK, và tài liệu tham khảo cấu hình. KHI NÀO: cách instrument ứng dụng, App Insights SDK, các mẫu telemetry, App Insights là gì, hướng dẫn Application Insights, ví dụ instrumentation, các phương pháp tốt nhất APM.
devops
applicationinsights-web-ts
microsoft
Instrument các ứng dụng trình duyệt/web bằng SDK JavaScript Application Insights (@microsoft/applicationinsights-web). Dùng cho Real User Monitoring (RUM) — lượt xem trang, nhấp chuột, phụ thuộc AJAX/fetch, ngoại lệ, sự kiện tùy chỉnh và dấu vết tác nhân GenAI phía trình duyệt tương quan với dấu vết OpenTelemetry phía backend. Bao gồm thiết lập SDK Loader Script và npm, tiện ích mở rộng framework (React, React Native, Angular), Click Analytics, trình khởi tạo telemetry và quy ước ngữ nghĩa OTel GenAI cho các span tác nhân/công cụ/mô hình phát ra từ trình duyệt.
devops
azure-ai-anomalydetector-java
microsoft
Xây dựng ứng dụng phát hiện bất thường với Azure AI Anomaly Detector SDK cho Java. Sử dụng khi triển khai phát hiện bất thường đơn biến/đa biến, phân tích chuỗi thời gian hoặc giám sát hỗ trợ AI.
development
azure-ai-language-conversations-py
microsoft
Triển khai Conversational Language Understanding (CLU) bằng SDK Python azure-ai-language-conversations. Sử dụng khi làm việc với ConversationAnalysisClient để phân tích ý định và thực thể trong hội thoại, xây dựng tính năng NLP, hoặc tích hợp hiểu ngôn ngữ vào ứng dụng.
development
azure-ai-ml-py
microsoft
Azure Machine Learning SDK v2 cho Python. Dùng cho không gian làm việc ML, công việc, mô hình, tập dữ liệu, tính toán và quy trình. Kích hoạt: "azure-ai-ml", "MLClient", "không gian làm việc", "đăng ký mô hình", "công việc đào tạo", "tập dữ liệu".
development