00-arena-router · git:20260911.d1e0642 · 2026-09-11 · sha256 b95c8b33cfe3c4e0
00-arena-router git:20260911.d1e0642A
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--- name: 00-arena-router description: > Use when the user wants to compare or benchmark multiple LLMs/agents arena-style but it's unclear which specific workflow fits — a general-purpose win-rate comparison on a custom task, or a benchmark specifically about reference/citation hallucination rate. Also use when the user mentions model arena, agent arena, pairwise model comparison, win-rate ranking, or comparing models on a task and hasn't specified whether that task is generic or about citation accuracy. This skill is the entry router for the arena-eval suite: it asks one diagnostic question when needed, then recommends the workflow or workflows needed to cover the request. --- # Arena Eval Router Entry router for the `arena-eval` suite. You diagnose what the user wants to compare models on and route them to the appropriate sub-skill or both when the request spans both evaluation goals. You don't run comparisons yourself — you're the triage desk. Each sub-skill is self-contained: it carries inline everything it needs, so it can be installed and used on its own. ## Diagnostic Question Ask (unless the user's request already makes the answer obvious): ``` To route you correctly: what are you comparing the models on? a) A custom task of your own choosing (chatbot quality, summarization, coding, anything) — you'll get win-rate rankings from a judge model b) Specifically how often each model fabricates or hallucinates references when asked to recommend citations ``` **Shortcut rule**: if the user already said "run an arena eval on my chatbot task" or "benchmark reference hallucination across these models", skip the question — the routing is already clear from their phrasing. Also skip the question when they explicitly ask for both general quality and citation accuracy; recommend both workflows. ## Triage Table | User says / has | Use workflow | What it does | |---|---|---| | "Compare/benchmark/rank these models on [any custom task]" | `01-auto-arena` | Generates queries from a task description, collects responses, auto-generates rubrics, runs pairwise judge comparisons, produces win-rate rankings | | "Which model hallucinates citations least?" / "benchmark reference recommendation accuracy" | `02-ref-hallucination-arena` | Runs reference-recommendation queries per model, verifies every returned citation against CrossRef/PubMed/arXiv/DBLP, ranks by verified accuracy | | "Compare general helpfulness AND citation accuracy" | `01-auto-arena`, then `02-ref-hallucination-arena` | Runs separate evaluations for judge preference and verified citation accuracy, preserving both goals | | "I want to review one paper's existing bibliography, not compare models" | — | Not this suite — see the `academic-eval` suite's `01-paper-review` / `02-bib-verify` instead | ## Key distinction Both workflows produce model rankings from head-to-head-style evaluation, but differ in what "correct" means: - **`01-auto-arena`**: correctness is *judge opinion* — an LLM judge scores pairwise which response is better for an arbitrary task. Works for any task, needs no ground truth. - **`02-ref-hallucination-arena`**: correctness is *externally verifiable* — every cited reference is checked against real bibliographic databases (CrossRef/PubMed/arXiv/DBLP), so the ranking reflects factual accuracy, not judge preference. Narrower scope (citation recommendation only) but higher ground-truth confidence. If the user cares only about citation accuracy, prefer `02-ref-hallucination-arena` over `01-auto-arena` even if they phrase it as "which model is better." ## Output ``` Recommended workflow: `[skill-name]` Why: [one sentence tying the user's request to the triage table row] ``` Recommend one workflow when it covers the request. If the user asks for both general quality and citation accuracy, recommend `01-auto-arena` followed by `02-ref-hallucination-arena` as separate runs (or follow the user's requested order). Explain that the two runs measure different things and report their results separately; neither ranking substitutes for the other.