The Agent Skills Directory

[INDIRECT_PROMPT_INJECTION]: The skill provides a mechanism for trace-driven simulation that ingests external CSV data. While this represents a data ingestion surface, the risk is mitigated by the implementation details of the processing tool.
Ingestion points: The scripts/queue_trace_simulator.py script (referenced in SKILL.md) reads user-supplied CSV files containing arrival and service time data.
Boundary markers: The skill does not implement specific delimiters for the CSV content, but the data is treated as strict numerical input.
Capability inventory: The simulator is a constrained mathematical tool with no access to the network, system shell, or unauthorized file system operations. Its output is limited to JSON-formatted simulation results.
Sanitization: The Python script includes robust input validation, ensuring that all ingested data points are finite, nonnegative numbers and rejecting malformed or overflow-prone values.
[SAFE]: The skill's instructions, metadata, and supporting documentation are focused on educational and analytical content. The citations refer to established academic research in computer science and operations research. No evidence of prompt injection, obfuscation, or unauthorized privilege acquisition was found.

foundations-queueing-theory