systematic-perturbation
Multi-axis systematic perturbation — define variation axes, perturb along each, measure degradation, construct validity envelope.
Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Multi-axis systematic perturbation — define variation axes, perturb along each, measure degradation, construct validity envelope.
Strategy for validating ontology consistency — check hierarchy, detect cycles, verify completeness.
Progressively remove components from a system while verifying function preservation through redistribution.
Run and document CAIPE UI/BFF performance benchmarks with Locust against the Docker Compose UI, including audit-service, OpenFGA, MongoDB, Keycloak, RAG, and dynamic-agents health context. Use when asked to run UI performance, BFF latency, Locust load tests, benchmark user-count sweeps, or update UI benchmark result docs.
Propagate input uncertainties through the model via Monte Carlo sampling. Identifies which input uncertainties contribute most to output uncertainty.
Quality check on leaf nodes of the GoalTree. Verify each leaf is specific enough, actionable, and that the set of leaves fully covers the top goal. Flag issues for further decomposition.
SOP: Perturb weights to test gap-ranking stability, output a stability verdict
SOP for auditing wikilink coverage — scans all edges and reports which source pages are missing [[dir/slug]] wikilinks to their targets.
SOP wrapping vault_lint — run batch validation, report issues, optionally auto-fix safe problems.
Construct extreme but plausible worst-case scenarios for stress testing