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bib-verify

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.

DeepseekModel 官方收录技能 质量 优秀 · 90 v1.0.0

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https://deepseekmodel.com/api/download.php?id=agentscope-ai-openjudge-skills-bib-verify-skill-md&format=skill
下载 .skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name bib-verify description 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. BibTeX Verification Skill Check every entry in a .bib file against real academic databases using the OpenJudge PaperReviewPipeline in BibTeX-only mode: Parse — extract all entries from the .bib file Lookup — query CrossRef, arXiv, and DBLP for each reference Match — compare title, authors, year, and DOI Report — flag each entry as verified , suspect , or not_found Prerequisites pip install py-openjudge litellm Gather from user before running Info Required? Notes BibTeX file path Yes .bib file to verify CrossRef email No Improves CrossRef API rate limits Quick start # Verify a standalone .bib file python -m cookbooks.paper_review --bib_only references.bib # With CrossRef email for better rate limits python -m cookbooks.paper_review --bib_only references.bib --email your@email.com # Save report to a custom path python -m cookbooks.paper_review --bib_only references.bib \ --email your@email.com --output bib_report.md Relevant options Flag Default Description --bib_only — Path to .bib file (required for standalone verification) --email — CrossRef mailto — improves rate limits, recommended --output auto Output .md report path --language en Report language: en or zh Interpreting results Each reference entry is assigned one of three statuses: Status Meaning verified Found in CrossRef / arXiv / DBLP with matching fields suspect Title or authors do not match any real paper — likely hallucinated or mis-cited not_found No match in any database — treat as fabricated Field-level details are shown for suspect entries: title_match — whether the title matches a real paper author_match — whether the author list matches year_match — whether the publication year is correct doi_match — whether the DOI resolves to the right paper Additional resources Full pipeline options: ../paper-review/reference.md Combined PDF review + BibTeX verification: ../paper-review/SKILL.md
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下载的 .skill 包内含以下字段。
字段 说明
format格式标识(skill/v1)
skill_id技能唯一 ID
name技能名称
version版本号
description技能描述
category所属分类(数组)
trigger_words触发词列表
tags标签列表
source来源标识
source_url来源链接(本页地址)
exported_at导出时间(每次下载生成)
system_prompt系统提示词正文
model_config模型参数:provider / model / temperature / max_tokens / top_p
examples示例
install_guide各平台导入说明(Coze / Dify / Claude / 自定义框架)
同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

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