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Verifies code implements exactly what documentation specifies for blockchain audits. \n \n Performs deterministic, line-by-line semantic analysis of code against specification documents, whitepapers, or design docs to identify gaps and misalignments \n Extracts specification intent and code behavior into structured intermediate representations (Spec-IR, Code-IR, Alignment-IR) with full traceability and confidence scores \n Classifies divergences by severity (critical, high, medium, low) with evi

Analyzes code diffs and files to identify bugs, security vulnerabilities, performance issues, and architectural concerns with prioritized feedback. \n \n Detects common issues including SQL injection, XSS, N+1 queries, magic numbers, hardcoded secrets, and design pattern violations \n Follows a structured five-step workflow: context understanding, architecture review, code quality checks, test validation, and categorized reporting \n Produces prioritized reports organized by severity (critical,

Systematic code review practices for constructive feedback, bug detection, and team knowledge sharing. \n \n Covers the complete review workflow: context gathering, high-level architecture assessment, line-by-line analysis, and decision-making with clear severity labeling (blocking, important, nit, suggestion) \n Includes language-specific patterns for Python, TypeScript, and JavaScript, plus specialized review techniques for security, testing, and architectural changes \n Provides templates, ch

Code simplification and refactoring focused on clarity, consistency, and maintainability. \n \n Applies project-specific best practices from CLAUDE.md, including ES modules, explicit type annotations, and proper React patterns \n Eliminates unnecessary complexity through reduced nesting, clearer naming, and removal of redundant abstractions \n Avoids nested ternaries and overly compact solutions in favor of explicit, readable code structures \n Preserves all original functionality and behavior w

Skill by ara.so — Daily 2026 Skills collection.

Comprehensive code reviews covering quality, security, performance, and best practices. \n \n Systematic review process across five dimensions: code quality, security vulnerabilities, performance, testing, and maintainability \n Includes initial assessment, detailed analysis guides, and constructive feedback frameworks \n Covers pull request analysis, coding standards compliance, and developer mentoring through structured review \n Best practices emphasize respectful feedback with explanations a

Automated frontend code review against a multi-category checklist, supporting both pending-change and targeted file reviews. \n \n Triggers on user requests to review frontend files ( .tsx , .ts , .js ) and applies a canonical checklist across Code Quality, Performance, and Business Logic categories \n Supports two review modes: pending-change review for staged/working-tree files before commit, and file-targeted review for specific named files \n Flags violations with urgency metadata (Urgent vs

Comprehensive code analysis covering security vulnerabilities, performance bottlenecks, maintainability issues, and best practice violations. \n \n Scans for critical security flaws including SQL injection, XSS, authentication gaps, unsafe deserialization, and credential exposure \n Identifies performance problems such as N+1 queries, inefficient algorithms, memory leaks, and unnecessary re-renders \n Evaluates code quality across duplication, function length, cyclomatic complexity, naming clari

sentry-pr-code-review

$23