The Agent Skills Directory

[COMMAND_EXECUTION]: The skill facilitates the execution of Python code through the get_results() method, which runs computational experiments, statistical analyses, and visualizations based on generated methodologies.
[EXTERNAL_DOWNLOADS]: The installation documentation references external resources for deployment, including a GitHub repository (AstroPilot-AI/Denario) and a Docker image (pablovd/denario).
[REMOTE_CODE_EXECUTION]: The skill's primary function involves generating and executing code at runtime to fulfill research objectives, which is an intended capability of the agentic workflow.
[PROMPT_INJECTION]: The skill ingests untrusted data descriptions and manual research inputs which influence the AI's logic and subsequent code generation.
Ingestion points: The set_data_description(), set_idea(), and set_method() functions in research_pipeline.md accept external text input.
Boundary markers: No specific boundary markers or isolation instructions for user-provided data are mentioned in the documentation.
Capability inventory: The skill has the ability to execute generated code via the get_results() function described in research_pipeline.md.
Sanitization: No sanitization or validation processes are documented for the external data descriptions prior to their use in the multiagent workflow.

denario