model-profiler

Impartially PROFILE the cross-provider sub-agent fleet against the FIXED 14 work-categories (directly benchmarked parents + 4 composite-inferred) whenever a new model ships (or on demand). Discover every model published in the recent window by the in-scope provider families, gather ALL public benchmark scores + statistics, map them onto the directly benchmarked parent categories (composites composed from parents, never directly benchmarked), then JUDGE each model+effort pairing into per-category tier rankings (best→worst) SOLELY from the discovered research, with a recorded rationale per tier placement. Emits exactly 3 artifacts: routing-table.json (lean), routing-table-audit.json (full provenance), research-seed-sites.json (accumulating learned source list). Single-family and multi-family are both fully-supported, first-class paths; provider mix is optional. The 14 categories are immutable inputs : this skill never derives, chooses, renames, reorders, or reshuffles them. Use when a new model is released, when asked to profile new model, re-profile models, re-profile the fleet, rebalance routing, update routing table, refresh model profiles, re-run model research, regenerate routing-table.json, refresh tier rankings, or to answer "which model for X now" after a model launch. Orchestrator-only pipeline: model discovery + maximalist benchmark research, pivotal-question interview, flagship judging + merge, 3-artifact emission, 3-pass adversarial validation, and provider/seed validators + scenario routing tests. Sub-agents dispatched via mcp__subagent-mcp__launch_agent; cross-family critics are available when ≥2 families are reachable.