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Run and interpret DATA drift (PSI) AND CONCEPT drift (sliced performance) for an ML service (Mode: AUTO — AGENTS.md Agent Behavior Protocol applies.)
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Based on SOC occupation classification
| name | drift-detection |
| description | Run and interpret DATA drift (PSI) AND CONCEPT drift (sliced performance) for an ML service (Mode: AUTO — AGENTS.md Agent Behavior Protocol applies.) |
Adapter surface: claude
Authority: AGENTS.md#Agent Behavior Protocol
Mode: AUTO
Canonical source: agentic/skills/drift-detection/SKILL.md
Read agentic/skills/drift-detection/SKILL.md in full before invoking this skill. The canonical
skill body, trigger conditions, escalation rules, and success criteria
live there.
This file exists only so claude can discover the skill without
forking agentic/skills/.
Recurring 23-domain enterprise/ISO repository audit — governance, traceability, security, supply chain, reproducibility, observability, architecture, technical debt, DX — produces a findings report with file:line evidence and risk ratings, and preserves the audit bar via anti-patterns Q-01…Q-08
Recurring 23-domain enterprise/ISO repository audit — governance, traceability, security, supply chain, reproducibility, observability, architecture, technical debt, DX — produces a findings report with file:line evidence and risk ratings, and preserves the audit bar via anti-patterns Q-01…Q-08 (Mode: AUTO — AGENTS.md Agent Behavior Protocol applies.)
Review cloud costs against budget and identify optimization opportunities
Debug ML inference issues — latency spikes, wrong predictions, event loop blocking
Scan a service for edge-protection coverage (WAF, DDoS mitigation, rate limiting) against ADR-042/D-38 — produces a PASS/FAIL report with file:line evidence
Scan a service for edge-protection coverage (WAF, DDoS mitigation, rate limiting) against ADR-042/D-38 — produces a PASS/FAIL report with file:line evidence (Mode: AUTO — AGENTS.md Agent Behavior Protocol applies.)
