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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

Security-focused differential analysis of code changes with adaptive depth, blast radius calculation, and markdown reporting. \n \n Analyzes PRs, commits, and diffs across three codebase sizes (SMALL/MEDIUM/LARGE) with risk-first prioritization on auth, crypto, value transfer, and external calls \n Includes six-phase workflow: triage, code analysis, test coverage assessment, blast radius calculation, adversarial modeling, and comprehensive markdown report generation \n Detects security regressio

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

Systematic security code review identifying high-confidence vulnerabilities with data-flow verification. \n \n Focuses exclusively on HIGH CONFIDENCE findings: vulnerable patterns with confirmed attacker-controlled input, skipping theoretical issues and framework-mitigated code \n Requires codebase research before reporting: traces data flow, checks for validation/sanitization, and verifies exploitability rather than pattern-matching alone \n Covers 14 vulnerability categories (injection, XSS, a

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

Comprehensive security checklist and patterns for authentication, input validation, and sensitive data handling. \n \n Covers 10 core security areas: secrets management, input validation, SQL injection prevention, authentication/authorization, XSS prevention, CSRF protection, rate limiting, sensitive data exposure, blockchain wallet verification, and dependency security \n Includes concrete code examples for each vulnerability type, showing both unsafe and secure patterns with TypeScript and Nex

Problem: Causes all nodes to re-mount on every render.

If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md.

You are initiating a Socratic code review session. Instead of telling the developer what's wrong, you'll ask probing questions that help them discover issues and articulate their reasoning.