Implements automated linting, security guardrails, and policy enforcement for Perplexity AI integrations.
This skill provides a comprehensive suite of safety and quality controls for projects integrating with Perplexity AI. It automates the implementation of custom ESLint rules to prevent hardcoded API keys, configures pre-commit hooks for secret detection, and establishes CI/CD policy checks using Open Policy Agent (OPA). By enforcing strict TypeScript patterns and providing runtime guardrails, it ensures that your Perplexity implementation remains secure, follows architectural best practices, and prevents dangerous operations in production environments.
Key Features
01Automated pre-commit hooks to prevent accidental leaking of API secrets
02Runtime guardrails to block dangerous operations in production environments
030 GitHub stars
04CI/CD pipeline integration for schema validation and policy-as-code
05Standardized Architecture Decision Records (ADRs) for client initialization
06Custom ESLint rules for Perplexity API security and best practices
Use Cases
01Securing Perplexity API integrations against hardcoded credentials and configuration errors
02Enforcing organizational coding standards and architecture patterns for AI clients
03Implementing automated safety checks within GitHub Actions or other CI/CD environments
