The Agent Skills Directory

[COMMAND_EXECUTION]: The skill provides Python code snippets using the pulp library to solve optimization models. This involves invoking a mathematical solver (e.g., CBC) through standard library calls, which is expected behavior for optimization tasks and does not pose a security risk in this context.
[INDIRECT_PROMPT_INJECTION]: The skill includes instructions for the agent to process external supply chain data (demand, costs, locations). The logic is focused on mathematical calculation and optimization within a restricted context, with no capabilities for network exfiltration or persistent file system modifications, mitigating risks from malicious data inputs.
[REMOTE_CODE_EXECUTION]: The skill references standard, well-known data science and optimization packages including pulp, pandas, numpy, and scipy. There are no instructions for fetching remote scripts or installing untrusted third-party dependencies.

network-design