The Agent Skills Directory

[SAFE]: The skill's behavior is entirely consistent with its stated purpose as a high-frequency trading strategy. Analysis of the source code and configuration files revealed no malicious intent.
[COMMAND_EXECUTION]: The Python scripts roach-producer.py and roach_config.py use subprocess.run to interact with platform-specific binaries (openclaw and mcporter). These calls are structured as lists (avoiding shell injection), do not utilize shell=True, and operate exclusively on trusted internal parameters.
[EXTERNAL_DOWNLOADS]: The SKILL.md installation instructions include curl commands to fetch the skill's components. These downloads target the official GitHub repository of the author and vendor (Senpi-ai/senpi-skills), which is a standard and secure deployment practice for this ecosystem.
[DATA_EXFILTRATION]: No evidence of unauthorized data access or external transmission was found. The skill employs security-conscious practices, such as hashing wallet addresses to isolate local state directories and ensure data privacy between different agent deployments.
[PROMPT_INJECTION]: The LLM prompt defined in runtime.yaml acts as a validation gate for internal signals. It uses a declarative structure and strict output rules to prevent the execution of malformed or unexpected data. No attempts to override agent safety protocols were detected.

roach-strategy