본문으로 건너뛰기
cccskills
무료GitHub에 공개

00-academic-router

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, BibTeX verification, citation checking, reference hallucination, or academic literature accuracy and hasn't specified which of those three tasks they mean. This skill is the entry router for the academic-eval suite: it asks one diagnostic question then routes to the right sub-skill.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

agentscope-ai/OpenJudge
설치 방법 보기

포함된 파일(1)

  • SKILL.md3.8 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Academic Eval Router

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.

리뷰

아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.

댓글

로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.

아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.

보내면 바로 공개됩니다. 이메일 주소나 전화번호 같은 개인 정보는 쓰지 마세요. URL은 2개까지입니다.

0 / 1,000자

이 양식은 reCAPTCHA로 보호되며 Google 개인정보처리방침 및 서비스 약관이 적용됩니다.

같은 저장소의 스킬

00-arena-router

무료

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.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

agentscope-ai/OpenJudge8772026년 9월 11일 업데이트

01-auto-arena

무료

Automatically evaluate and compare multiple AI models or agents without pre-existing test data. Generates test queries from a task description, collects responses from all target endpoints, auto-generates evaluation rubrics, runs pairwise comparisons via a judge model, and produces win-rate rankings with reports and charts. Supports checkpoint resume, incremental endpoint addition, and judge model hot-swap. Use when the user asks to compare, benchmark, or rank multiple models or agents on a custom task, or run an arena-style evaluation.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

agentscope-ai/OpenJudge8772026년 9월 11일 업데이트

01-graders-and-pipeline

무료

Build custom LLM evaluation pipelines using the OpenJudge framework. Covers selecting and configuring graders (LLM-based, function-based, agentic), running batch evaluations with GradingRunner, combining scores with aggregators, applying evaluation strategies (voting, average), auto-generating graders from data, and analyzing results (pairwise win rates, statistics, validation metrics). Use when the user wants to evaluate LLM outputs, compare multiple models, design scoring criteria, or build an automated evaluation system.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

agentscope-ai/OpenJudge8772026년 9월 11일 업데이트

01-paper-review

무료

Review academic papers for correctness, quality, and novelty using OpenJudge's multi-stage pipeline. Supports PDF files and LaTeX source packages (.tar.gz/.zip). Covers 10 disciplines: cs, medicine, physics, chemistry, biology, economics, psychology, environmental_science, mathematics, social_sciences. Use when the user asks to review, evaluate, critique, or assess a research paper, check references, or verify a BibTeX file.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

agentscope-ai/OpenJudge8772026년 9월 11일 업데이트

02-bib-verify

무료

Verify a BibTeX file for hallucinated or fabricated references by cross-checking every entry against CrossRef, arXiv, and DBLP. Reports each reference as verified, suspect, or not found, with field-level mismatch details (title, authors, year, DOI). Use when the user wants to check a .bib file for fake citations, validate references in a paper, or audit bibliography entries for accuracy.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

agentscope-ai/OpenJudge8772026년 9월 11일 업데이트

02-ref-hallucination-arena

무료

Benchmark LLM reference recommendation capabilities by verifying every cited paper against Crossref, PubMed, arXiv, and DBLP. Measures hallucination rate, per-field accuracy (title/author/year/DOI), discipline breakdown, and year constraint compliance. Supports tool-augmented (ReAct + web search) mode. Use when the user asks to evaluate, benchmark, or compare models on academic reference hallucination, literature recommendation quality, or citation accuracy.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

agentscope-ai/OpenJudge8772026년 9월 11일 업데이트

agentscope-ai의 스킬 모두 보기

이 스킬의 문제 신고