korchasa/flow-skill-cursor-agent-integration

Cursor Agent Integration

This skill provides technical details for interacting with the cursor-agent CLI, the primary interface for the AssistFlow AI agent.

CLI Overview

cursor-agent is a CLI tool for autonomous task execution, tool usage, and interactive sessions.

Output Formats

When using the --print flag, specify the format with --output-format:

• text (default): Human-readable stream of tool logs and assistant responses.
• json: A single JSON object printed at the end of the process. Ideal for automated parsing.
• stream-json: A stream of JSON events emitted during execution.

JSON Output Structure

In --output-format json mode, the CLI returns a single object:

{
  "type": "result",
  "subtype": "success",
  "is_error": false,
  "duration_ms": 4032,
  "result": "Final assistant response text",
  "session_id": "uuid-string",
  "messages": [
    { "type": "assistant", "content": "..." },
    { "type": "user", "content": "..." }
  ]
}

Key Fields

• session_id: Unique identifier for the chat session.
• result: The final text response from the agent.
• subtype: Completion status (success, error, input_required).
• messages: Full conversation history for the session.

Session Lifecycle & Resume

1. Initial Run: Agent executes until task completion or user input is needed.
2. Input Required: If subtype is input_required, the agent exits and waits for further instruction.
3. Resuming: Use cursor-agent <new_prompt> --resume <session_id> to continue a session. The agent loads history based on the ID.

Benchmark Integration

• Parsing: In json mode, wait for process exit and parse the entire output (or the last line) as a single JSON object.
• State Management: The session_id is the source of truth for state. Benchmarks should capture this ID to chain multiple agent calls.
• Mocking: Use Cursor Hooks to mock tools during benchmarks, preventing side effects from dangerous commands.