The Agent Skills Directory

[EXTERNAL_DOWNLOADS]: The skill's installation process involves downloading operational scripts, such as raptor-scanner.py and raptor_config.py, from the Senpi-ai GitHub organization. These downloads are consistent with the skill's purpose and originate from the recognized vendor.
[REMOTE_CODE_EXECUTION]: The scanner script is downloaded from a remote repository and executed via the Python interpreter. This allows the skill to perform complex trading logic that is maintained centrally by the vendor.
[COMMAND_EXECUTION]: The skill uses the subprocess.run function in raptor_config.py to invoke the mcporter command-line tool. This tool is used to fetch market data and execute trades. The command arguments are constructed safely using a list format and JSON-encoded parameters.
[SAFE]: The skill retrieves trader positions and market consensus data from APIs to inform its strategy.
Ingestion points: fetch_quality_hot_traders, fetch_trader_positions, and fetch_sm_map in raptor-scanner.py.
Boundary markers: Not applicable as data is handled by a standalone script rather than the model context.
Capability inventory: create_position and cancel_order functions in raptor-scanner.py.
Sanitization: The script performs type checking and numeric conversion using the safe_float helper function.

raptor-strategy