zscole

Review Python code for common security vulnerabilities

Validate JSON objects against schemas with clear error reporting

Test HTTP APIs with automatic request building and response validation

Generates boilerplate code and scaffolding for various programming languages

Iteratively refine a product spec by debating with multiple LLMs (GPT, Gemini, Grok, etc.) until all models agree. Use when user wants to write or refine a specification document using adversarial development.

Cost-optimize AI agent operations by routing tasks to appropriate models based on complexity. Use this skill when: (1) deciding which model to use for a task, (2) spawning sub-agents, (3) considering cost efficiency, (4) the current model feels like overkill for the task. Triggers: "model routing", "cost optimization", "which model", "too expensive", "spawn agent".

Secure key management for AI agents. Multi-backend support (macOS Keychain, 1Password, encrypted file, env vars). Use when handling private keys, API secrets, wallet credentials, or when building systems that need agent-controlled funds.

Test documentation quality by spawning fresh agents with zero context. Validates that docs are complete, clear, and usable by newcomers. Use when testing READMEs, tutorials, setup guides, or API docs before publishing.

Real-time prompt injection detection and sanitization for AI agents. Protects against Clinejection-style attacks, command injection, and malicious prompt manipulation. Works as both OpenClaw skill and Claude MCP server.