Academic Eval Router

SkillFiles & storage

Helps your agent figure out which academic-paper task fits, reviewing a paper, checking BibTeX references, or comparing models' citation accuracy.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Academic Eval Router skill

About this capability

Use when the user wants help with academic papers or citations but it's unclear which specific workflow fits, reviewing a paper, checking a BibTeX file for fake references, or benchmarking multiple LLMs on reference-recommendation accuracy. Also use when the user mentions paper review, peer review,

What this skill tells your AI

The instructions your AI receives, as published by agentscope-ai/openjudge in skills/academic-eval/00-academic-router/SKILL.md and read by ahel’s review.

Entry router for the academic-eval suite. You diagnose what the user actually wants and route them to one of three sub-skills. You don't review papers, verify BibTeX files, or run arena benchmarks 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, which of these matches what you want?

a) Review a single paper (PDF or LaTeX source) for correctness/quality/novelty
   — optionally also check its bibliography
b) Check a standalone .bib file for fabricated or mismatched references
   (no paper review needed)
c) Benchmark/compare multiple LLMs on how often they hallucinate references
   when asked to recommend citations (arena-style, many queries)

Shortcut rule: if the user already said "review my paper", "check this PDF", "verify this .bib file", or "compare models on reference hallucination", skip the question — the routing is already clear from their phrasing.

Triage Table

User says / hasUse workflowWhat it does
"Review this paper" (PDF or .tar.gz/.zip TeX source)01-paper-reviewMulti-stage review: safety, correctness, quality/novelty score, criticality — optionally + BibTeX check
"Review this paper AND check its references"01-paper-reviewSame pipeline with --bib set — one run covers both
"Just check this .bib file, no paper"02-bib-verifyCross-checks every entry against CrossRef/arXiv/DBLP, flags verified/suspect/not_found
"Compare N models on how often they cite fake papers" / "benchmark reference hallucination rate"03-ref-hallucination-arenaRuns many recommendation queries per model, verifies every returned reference, ranks models by hallucination rate
"Compare models on general quality/response, not specifically citations"Not this suite — see the arena-eval suite's 01-auto-arena instead

Key distinctions

  • 01-paper-review vs 02-bib-verify: both use the same underlying cookbooks.paper_review pipeline. Use 01-paper-review whenever a paper file exists (even if the only thing the user cares about is the bibliography — --bib_only mode is documented there). Use 02-bib-verify only when there is no paper, just a loose .bib file to sanity-check.
  • 01-paper-review/02-bib-verify vs 03-ref-hallucination-arena: the first two evaluate one document's existing references after the fact. The third evaluates model behavior — how often a model invents fake citations when asked to recommend some, across a benchmark of queries and models. If the user wants a leaderboard/ranking of models, not a report on one document, route to 03-ref-hallucination-arena.

Output

Recommended workflow: `[skill-name]`

Why: [one sentence tying the user's request to the triage table row]

Recommend exactly one workflow. If the request spans two (e.g., "review this paper, and separately benchmark 3 models on citation accuracy"), say so explicitly and give both, in the order the user would naturally do them.

Signals

GitHub stars
845
Forks
73
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
x-00-academic-router
Source
github.com/agentscope-ai/openjudge