The Agent Skills Directory

[SAFE]: All Python scripts (prompt_optimizer.py, rag_evaluator.py, agent_orchestrator.py) rely exclusively on built-in Python libraries such as argparse, json, re, and pathlib. They perform local text processing and analysis without any network activity or external dependencies.
[SAFE]: No hardcoded credentials, API keys, or access to sensitive system paths (e.g., SSH keys, environment variables) were found. Placeholders in documentation and scripts are used correctly for educational purposes.
[SAFE]: The documentation in the references/ directory provides best practices and architectural patterns for LLM systems. It contains no instructions to bypass safety filters or override agent constraints.
[SAFE]: The agent_orchestrator.py script includes a custom, simplified YAML parser (parse_yaml_simple) that avoids the security risks often associated with full-featured YAML libraries that support arbitrary object instantiation.
[SAFE]: Data processing is limited to user-supplied text files and JSON/YAML configurations, with no evidence of unsafe deserialization or dynamic code execution (e.g., eval or exec) using external input.

senior-prompt-engineer