agentsop-module-shape-selection
Pass
Audited by Gen Agent Trust Hub on Sep 4, 2026
Risk Level: SAFENO_CODE
Full Analysis
- [SAFE]: The skill serves as a conceptual framework and decision rubric for developers using the DSPy library. It identifies structural criteria for selecting reasoning modules. The instructions focus on optimizing token usage and improving model accuracy through structural selection rather than automated scripts.
- [NO_CODE]: There are no executable files or scripts (e.g., .py, .js, .sh) included in this skill. The content consists entirely of documentation in Markdown and a static structured data resource in JSON. No runtime code execution or library installation is performed by the skill itself.
- [DATA_EXFILTRATION]: No network operations or data exfiltration patterns were detected. References to external websites are limited to plain-text documentation links for dspy.ai, which is a well-known service in the context of this library. Mentions of data processing (e.g., support tickets) are provided as hypothetical examples for decision-making logic.
- [COMMAND_EXECUTION]: The skill does not contain any shell commands, subprocess calls, or dynamic context injection patterns (e.g., !command usage). References to DSPy modules like
dspy.ProgramOfThoughtdescribe library features and do not represent executable code within the skill's own instructions.
Audit Metadata