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Model Profiler

Agent skill
1 skill

Impartially PROFILE the cross-provider sub-agent fleet against the FIXED canonical 10 work-categories 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 fixed 10 categories, 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 10 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 mcpsubagent-mcplaunchagent; cross-family critics are available when ≥2 families are reachable.

Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI

Supported by the Atlas install prompt. Skill-specific requirements vary.

Skill stats

Skills1CategoryScience & researchStars0

About this skill

Impartially PROFILE the cross-provider sub-agent fleet against the FIXED canonical 10 work-categories 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 fixed 10 categories, 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 10 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 mcpsubagent-mcplaunchagent; cross-family critics are available when ≥2 families are reachable.

Quick start

  1. Copy the install prompt. Use the green button above this README.
  2. Send it to your agent. Paste it into your coding agent’s chat and send.
  3. Review the setup. Your agent checks the skill’s instructions, requirements, and installation scope.
Review, license & listing details
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0 potential findings · Scanned 11/4/2026 · Scanner 0.2.1

Content SHA-256: b3f57c2698214bfee1ea6984641bab98f803cc4da1e785186197c502d2130522

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About this listing

Category
Science & research
Reported license
Apache-2.0
Listing language (estimated)
English
Review status
Not individually reviewed
Agent compatibility
Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.
Model Profiler | Agent Skills Atlas