Results for “review-report”

Runs a deeper code review with the GLM-5 model via glm-review, validates findings against the actual code, and reports only confirmed issues.

Performs security-focused differential review of code changes (PRs, commits, diffs), adapting analysis depth to codebase size and generating comprehensive markdown reports.

Runs a complete quality engineering audit on any codebase, deriving behavioral requirements, generating spec-traced tests, performing multi-pass code review, and producing a consolidated bug report with verified patches.

Code review automation for TypeScript, JavaScript, Python, Go, Swift, Kotlin. Analyzes PRs for complexity and risk, checks code quality for SOLID violations and code smells, generates review reports. Use when reviewing pull requests, analyzing code quality, identifying issues, generating review checklists.

Acceptance-test newly added features using browser automation, happy-path flows, screenshots, UX notes, and a written report.

Analyzes code diffs and files to identify bugs, security vulnerabilities, code smells, and architectural concerns, producing a structured review report with prioritized, actionable feedback.

Loads an implementation plan, executes tasks in batches with verification, and reports progress for review between batches.

Reviews staged and unstaged code changes for security vulnerabilities, code quality issues, and adherence to project conventions, reporting findings by severity.

Runs three parallel reviewers to find code reuse, quality, and efficiency issues in a diff, then applies safe fixes and reports risky ones.

Runs a structured bug-fix pipeline: scouts evidence, diagnoses root cause, applies minimal fixes, and reviews before committing.

Collecting user feedback via NPS surveys, review analysis, sentiment analysis, feedback classification, and insight extraction reports. Use when establishing feedback loops.

Runs a multi-perspective review of a pull request, including code quality, tests, and potential silent failures, then reports findings ranked by severity.

Audits iOS app source code and metadata to identify App Store rejection risks and optimization opportunities, producing a structured compliance report.

Reviews local branch changes for bugs, security vulnerabilities, and code quality issues, producing a prioritized report with severity ratings and concrete fixes.

Use the status-briefing skill to run `pk-reconcile session-start`, then

Eng manager-mode plan review. (gstack)

Requesting Code Review

Review a pull request and POST the review to GitHub via `gh pr review`. Use when asked to review a PR, or when the github-activity poller fires a PR-opened / PR-review-requested event. Always submits after drafting — a review that stays in turn output and never reaches GitHub is a non-review.

Use when a commit's changes are finished and about to be presented for review. Runs the checks that catch the objections the user would otherwise raise, before they spend time reviewing.

通用多轮迭代改进：对任意研究制品反复调用 /review → 解析反馈 → 修复 → 更新 wiki，直到达标

Comprehensive code review using specialized agents — orchestrates code, comments, tests, errors, types, and simplify agents sequentially.

Simulates a NeurIPS/SC/ICSE-style peer review with five reviewer personas (HPC, ML, Stats, Reproducibility, Devil's Advocate) that verify every claim against actual result data before submission.

Reviews secrets, config defaults, environment variables, logs, credentials, CI secrets, and unsafe settings.

Manages and analyzes Jest test suites, including configuration discovery, coverage reporting, snapshot review, and test result parsing.

Routes quality reviews to specialized critic agents based on file type or flags, covering peer review, code review, and manuscript polish.

Dispatch a code reviewer subagent to catch issues before they cascade, with precisely crafted context for evaluation.

Structure responses to referee reports for R&R submissions

Eng manager-mode plan review. Lock in the execution plan — architecture, data flow, diagrams, edge cases, test coverage, performance. Walks through issues interactively with opinionated recommendations. Use when asked to "review the architecture", "engineering review", or "lock in the plan". Proactively suggest when the user has a plan or design doc and is about to start coding — to catch architecture issues before implementation. (gstack) Voice triggers (speech-to-text aliases): "tech review", "technical review", "plan engineering review".

Analyzes evaluation patterns across completed plans and evolves the superpowers checklists accordingly.

Use this skill for code review and PR review tasks. Covers review methodology, what to flag, what to skip, and output structure.