Aloudata CAN SKILLS - forecast-simulation
Security checks across static analysis, malware telemetry, and agentic risk
Overview
The skill's requests and instructions are coherent with a forecasting/simulation purpose: it delegates data access to a metric-query skill and provides local mathematical procedures (Python snippets) for trend/what‑if analysis, with no unexpected credentials, installs, or persistence privileges.
This skill appears internally consistent with its stated forecasting purpose. Before installing: 1) Confirm your agent environment can run the provided Python snippets (numpy is used) or that you have a standard-model execution path that supports them; otherwise the skill may fail. 2) Verify the metric-query skill you delegate to is trusted and has the appropriate authentication/authorization — this skill expects metric-query to handle all data access and credentials. 3) Understand that forecasts are simple mathematical extrapolations (linear, moving averages, weighted averages) and are not ML models — check that the assumptions/uncertainty notes are surfaced to end users. 4) If you want to limit autonomous use, consider restricting model-driven invocation in your agent policy; this skill does not request unusual privileges but autonomous invocation is platform-default.
SkillSpector
SkillSpector findings are pending for this release.
Static analysis
No static analysis findings were reported for this release.
VirusTotal
VirusTotal findings are pending for this skill version.