Academic Eval Router
SkillFiles & storageHelps 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.
No other account needed.
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 / has | Use workflow | What it does |
|---|---|---|
"Review this paper" (PDF or .tar.gz/.zip TeX source) | 01-paper-review | Multi-stage review: safety, correctness, quality/novelty score, criticality — optionally + BibTeX check |
| "Review this paper AND check its references" | 01-paper-review | Same pipeline with --bib set — one run covers both |
| "Just check this .bib file, no paper" | 02-bib-verify | Cross-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-arena | Runs 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-reviewvs02-bib-verify: both use the same underlyingcookbooks.paper_reviewpipeline. Use01-paper-reviewwhenever a paper file exists (even if the only thing the user cares about is the bibliography —--bib_onlymode is documented there). Use02-bib-verifyonly when there is no paper, just a loose.bibfile to sanity-check.01-paper-review/02-bib-verifyvs03-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 to03-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