foundations-queueing-theory
Pass
Audited by Gen Agent Trust Hub on Aug 12, 2026
Risk Level: SAFECOMMAND_EXECUTIONPROMPT_INJECTION
Full Analysis
- [COMMAND_EXECUTION]: The skill instructs the agent to execute a local Python script (
agents-skills-feedback-loop/scripts/append_learning.py) to record insights into thelearnings.mdfile. This creates an instruction-based surface for executing code on the local system. - [INDIRECT_PROMPT_INJECTION]: The skill is designed to ingest and process performance metrics (e.g., arrival rates, service times) that are interpolated into its reasoning logic for capacity planning.
- Ingestion points: Numeric performance data (λ, μ, ρ, CV²) provided by the user in the context of the queueing theory playbooks.
- Boundary markers: None identified; inputs are used directly in mathematical calculations and expert judgment reasoning.
- Capability inventory: The skill enables file modification of
learnings.mdand local script execution through the feedback workflow. - Sanitization: No input validation or sanitization mechanisms are defined for the metrics processed.
Audit Metadata