The Agent Skills Directory

[COMMAND_EXECUTION]: The skill provides Python code templates for processing benchmark data. These templates use established libraries like Scipy, Numpy, and ChromaDB for statistical calculations and local database management, which is consistent with the skill's primary purpose.
[DATA_EXPOSURE]: The framework includes logic for local data persistence via chromadb.PersistentClient targeting the ./benchmark_db directory. This is a standard practice for benchmarking tools to maintain a history of results and does not involve exfiltration of sensitive system credentials.
[INDIRECT_PROMPT_INJECTION]: The framework is designed to ingest and evaluate solutions generated by various reasoning patterns. While this constitutes a data ingestion surface, the logic is restricted to metric aggregation and statistical comparison, with no evidence of unsafe interpolation that would allow embedded instructions to compromise the agent.

benchmark-framework