Skill UI

This guide identifies and explains common anti-patterns and critical pitfalls encountered when building applications on the Replit platform. Topics include data persistence, secret management, networking bindings, and environment configuration. Use this resource when conducting code reviews, onboarding new developers, or auditing existing Replit applications for best practices.

This comprehensive guide details how to configure robust multi-environment deployments (Development, Staging, Production) within the Replit ecosystem. It covers best practices for database separation, managing environment-specific secrets, implementing reliable environment detection logic, and setting up CI/CD pipelines to ensure applications are stable and secure across all deployment stages.

This skill provides comprehensive guardrails for securing Replit-hosted applications. It covers critical security policies including preventing hardcoded secrets, implementing resource usage limits (CPU/Memory), enforcing endpoint authentication, and ensuring proper deployment configuration. Use this when you need to harden a Replit app for production or audit its security posture.

This guide provides a comprehensive reference architecture for building robust, production-grade applications on Replit. It covers best-practice project layouts, system-level configurations (like replit.nix), data layer strategies (PostgreSQL, KV, Object Storage), and secure deployment techniques. Use it when starting a new Replit project, optimizing existing codebases, or establishing enterprise-level architectural standards.

A comprehensive guide detailing security best practices for building and deploying applications on the Replit platform. Learn how to properly manage sensitive data using Replit Secrets (AES-256 encryption), implement secure service-to-service authentication via REPL_IDENTITY tokens, validate custom headers, and prevent common vulnerabilities like hardcoded API keys and SQL injection. Essential for auditing and securing production environments.

Guides teams through the security incident response lifecycle by classifying attacks, generating containment/remediation playbooks, directing evidence collection, and coordinating post-incident follow-up to minimize damage.

This skill provides a comprehensive, expert guide to the entire reverse engineering lifecycle. It covers advanced techniques for binary analysis, including static analysis (disassembly, metadata extraction, control flow mapping) and dynamic analysis (API hooking, memory tracing). Mastery includes utilizing industry-leading tools such as IDA Pro, Ghidra, radare2, and specialized frameworks like pwntools and angr. The methodology is structured for secure research, CTF challenges, and vulnerability assessment, emphasizing best practices and ethical use.

Provides comprehensive guidance for setting up and configuring Static Application Security Testing (SAST) tools, including Semgrep, SonarQube, and CodeQL. Learn how to integrate security scanning into CI/CD pipelines, define custom security rules, enforce quality gates, and manage compliance policies to proactively identify and remediate code vulnerabilities across multiple programming languages.

A comprehensive tool for detecting critical API security vulnerabilities, including injection, broken authentication (BOLA), excessive data exposure, and mass assignment. It audits endpoints against the OWASP API Security Top 10 standards by analyzing source code, middleware chains, and request validation logic. Ideal for pre-deployment security gates, CI/CD integration, and compliance audits.

Scans container images and running containers using Trivy and Snyk to identify vulnerabilities, rank them by severity, and return remediation guidance whenever users ask for a security assessment before or after deployment.

Performs OWASP-guided security scans on PostgreSQL and MySQL databases via the database-security-scanner plugin, identifying weak passwords, SQL injection risks, and misconfigurations while generating reports and remediation advice.

Scans your codebase with pattern matching and entropy analysis to detect exposed secrets like API keys, passwords, and private keys, then generates remediation reports so you can fix vulnerabilities before committing or deploying code.