verification

# Agent Verifier ## Purpose Run comprehensive verification on AI agent code. This orchestrator invokes focused verification skills and consolidates results into a unified report. All analysis happens locally—code never leaves your machine. ## When to Use Trigger this skill when the user asks to: - **"verify agent"** (primary invocation) - "verify my agent" - "audit agent" - "full verification" - "verify my code" (when agent patterns are detected) - "check compliance" ## Available Verification Modes | Command | Skill | What it checks | |---------|-------|----------------| | **"verify agent"** | This skill | Full suite (all below) | | "verify agent security" | verify-security | Secrets, dependencies, input validation | | "verify agent patterns" | verify-patterns | Loops, retries, tools, context size | | "verify agent quality" | verify-quality | Naming, organization, documentation | | "verify agent language" | verify-language | Type hints, idioms, language best practices | ## Process ### Step 1: Context Discovery Scan the project to identify: 1. **Primary language:** - Check for `pyproject.toml`, `package.json`, `go.mod` - Look at file extensions in `src/` or project root 2. **Agent framework (if any):** - `langgraph` in imports → LangGraph - `crewai` in imports → CrewAI - `autogen` in imports → AutoGen - `langchain` in imports → LangChain - Direct SDK usage → Custom agent 3. **Kahuna integration:** - Check if `.kahuna/` directory exists - ...