clawbacklisted

# ClawBack **Mirror congressional stock trades with automated broker execution** ## Agent Instructions When the user invokes `/clawback`, execute the appropriate command based on the argument: ### Commands When the user invokes `/clawback` with any arguments, execute the corresponding command: | Command | Action | |---------|--------| | `/clawback setup` | Run the setup wizard: Execute `{baseDir}/bin/clawback.py setup` | | `/clawback status` | Check system status: Execute `{baseDir}/bin/clawback.py status` | | `/clawback run` | Start trading bot: Execute `{baseDir}/bin/clawback.py run` | | `/clawback daemon` | Run as background service: Execute `{baseDir}/bin/clawback.py daemon` | | `/clawback test` | Test notifications: Execute `{baseDir}/bin/clawback.py test` | | `/clawback` (no args) | Show help: Execute `{baseDir}/bin/clawback.py --help` | ### How to Execute Commands **Option 1: Using the wrapper script (recommended)** When executing ClawBack commands, always: 1. Use the wrapper script at `{baseDir}/bin/clawback.py` 2. Pass the command as an argument (e.g., `{baseDir}/bin/clawback.py status`) 3. Capture and display the output to the user **Option 2: Direct Python execution (if wrapper doesn't work)** If the wrapper script fails, you can run ClawBack directly: 1. Change to the skill directory: `cd {baseDir}` 2. Activate the virtual environment: `source venv/bin/activate` 3. Run the CLI: `python -m clawback.cli [command]` 4. Capture and display the output **Import