Creator · Yuan1z0825
Last updated · Sep 2, 2026
>-
Sandbox only
Creator · Yuan1z0825
Last updated · Sep 2, 2026
>-
Sandbox only
Creator · Yuan1z0825
Last updated · Sep 2, 2026
>-
Sandbox only
Creator · Yuan1z0825
Last updated · Sep 2, 2026
>-
Sandbox only
Install targets
Codex install prompt
Install the "nature-ref-verifier" agent skill from https://github.com/Yuan1z0825/nature-skills/tree/main/skills/nature-ref-verifier. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: >- After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"yuan1z0825-nature-ref-verifier","task":"Install nature-ref-verifier","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
CSV, SQL, notebooks, dashboards, data pipelines, BI, ETL, and spreadsheet analysis.
Scenario
Database and SQL
I need my agent to inspect database schemas, write SQL, and explain query results.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add Yuan1z0825/nature-skills --skill nature-ref-verifier
Maintenance
fresh
4d since push
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
39K
93/100 Quality · 76/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review · Permission surface may require sandboxing
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
39K GitHub stars
Repo activity
39K stars, 2.1K forks
Maintenance
4d since push
License
Apache-2.0
Install
npx skills add Yuan1z0825/nature-skills --skill nature-ref-verifier
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add Yuan1z0825/nature-skills --skill nature-ref-verifierDo not use when
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
high
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20nature-ref-verifier%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20nature-ref-verifier%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/yuan1z0825-nature-ref-verifier/install
Agent should check
Copy prompt
Task: Use nature-ref-verifier in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20nature-ref-verifier%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/yuan1z0825-nature-ref-verifier/install
Install command: npx skills add Yuan1z0825/nature-skills --skill nature-ref-verifier
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/yuan1z0825-nature-ref-verifier/install
LLM text format
/api/skills/yuan1z0825-nature-ref-verifier/install?format=text
Find alternatives
/api/skills/search?q=nature-ref-verifier&limit=3
Agent prompt
Use nature-ref-verifier for this task. Review https://www.openagentskill.com/api/skills/yuan1z0825-nature-ref-verifier/install, then install with: npx skills add Yuan1z0825/nature-skills --skill nature-ref-verifierRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/yuan1z0825-nature-ref-verifier
LLM text
/api/registry/manifest/yuan1z0825-nature-ref-verifier?format=text
Install alias
/api/registry/install/yuan1z0825-nature-ref-verifier
Recommend
/api/registry/recommend?task=Use%20nature-ref-verifier%20in%20an%20agent%20workflow&limit=3
Agent fit
RAG and knowledge
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
RAG and knowledge
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
PASS39K GitHub stars
Stars/forks activity
PASS39K stars, 2.1K forks; issue activity unavailable in current metadata
Recent maintenance
PASS4d since push
License clarity
PASSApache-2.0
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Search private knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Automate repeated work
I need my agent to automate a repeated workflow across tools and files.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Alternative shortlist
Similar skills that may fit this task.
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--- name: nature-ref-verifier description: >- 对学术文献逐条执行多源交叉验证,逐字段对比作者、标题、年份、卷期、页码, 标记卷年/DOI年冲突、作者顺序异常、页码偏差等问题,输出结构化验证报告。 可批量处理整篇论文/开题报告的参考文献列表,也可单条校验,支持与 Zotero 同步修正。 ---
# nature-ref-verifier — 学术参考文献多源验证技能
需要处理批量差异、反复出现的字段错误、DOI/标题冲突、作者顺序异常、页码漂移或 报告措辞时,读取 `references/common-patterns.md`。其他任务不要预加载该文件; `manifest.yaml` 记录了同一按需路由,新增资源时必须同时在本文件中写明加载条件。
## 触发词
`verify references`、`校验文献`、`check references`、`核对参考文献`、`文献验证`、`ref check`
## 适用场景
- 开题报告/论文提交前,对全部参考文献做最终核查 - 收到审稿意见指出引用错误时,精准定位问题 - 从旧项目迁移参考文献到新论文时,批量验证有效性 - Zotero 库定期健康检查
## 工作流
### Step 1: 解析输入
支持三种输入格式:
**A. 整篇论文/开题报告** - 提取所有 `[N]` 编号的参考文献列表 - 自动识别每条的 DOI(如有)
**B. 单条参考文献** - 用户直接粘贴一条引用文本 - 或传入 Zotero item key
**C. BibTeX 文件** - 直接解析 `.bib`,逐条校验
### Step 2: 多源并行查询
**Step 2.0(最便宜、最先做):DOI 可解析性检查。** 对每条有 DOI 的文献先请求 `https://api.crossref.org/works/<DOI>`:404 → DOI 本身错误(高度疑似错号);200 → 比对返回记录的标题/作者/卷期页与条目,不一致即"DOI 张冠李戴"。单次请求即可发现实践中最常见的一类错误(一次 35 条核查中 7/9 的错误属于此类)。
对每条文献,并行查询以下来源(可用哪些取决于环境配置):
| 来源 | 适用文献 | 典型覆盖率 | |------|---------|-----------| | **Crossref** | 有 DOI 的外文期刊 | ~70%(IEEE 老文献、中文期刊常有缺失)| | **IEEE Xplore** | IEEE 期刊/会议 | IEEE DOI 404 时的备选 | | **WebSearch (Bing/Google)** | 无 DOI 或来源缺失的文献 | 兜底方案 | | **CNKI/万方** (kimi-datasource / webbridge) | 中文期刊、学位论文 | 中文文献必查 | | **Zotero 本地库** (zotero-mcp) | 已入库文献 | 快速比对已有数据 |
**查询策略:** 优先用 DOI 查 Crossref,失败后降级用标题+作者搜 Web。
**批量策略:** 超过 20 条时按 10–15 条一组拆给并行子代理,每组独立查询后汇总——35 条规模实测 3 个并行子代理即可在一次往返内完成,串行会慢一个数量级。
### Step 3: 字段级对比
对每条文献执行以下对比矩阵,按严重程度分为三级:
#### 🔴 Critical(必须修正)
| 检查项 | 说明 | 典型案例 | |--------|------|---------| | 作者**姓名/顺序**不一致 | 第一作者不同、顺序颠倒、完全编造 | Smogavec→Leckebusch、Vainikainen→Mikhnev | | 作者**漏人** | 条目作者数少于出版方记录(常见于 5+ 作者文献只录前 3-4 人) | TGRS 2019 PCA 文漏第 5 作者 Ge;TAES 2021 UAV 文漏第 5 作者 Kim | | **页码**差异 ≥5 | 页码完全不匹配 | Noon: 1309-1319→1444-1449 | | **文章号字母误判** | 文章号含字母被写成形近数字(T/7、l/1、O/0) | SPIE 101880T 误作 1018807 | | **标题核心词**不一致 | 非大小写/标点差异 | Iwasaki T→Wu K H、Zhang W→Zhu M H | | DOI 指向不同论文 | DOI 存在但标题/作者不对应 | Abidi 1995: 10.1109/4.482157→10.1109/4.482187 | | DOI 张冠李戴 | DOI 可解析但解析到**另一篇**论文(比对标题作者即可发现) | JAG 2017 SVD 文 DOI 指向同卷 ERT 论文;AST 2022 旋翼文 DOI 指向涡轮噪声论文 |
#### 🟡 Warning(建议核对)
| 检查项 | 说明 | 典型案例 | |--------|------|---------| | **卷年** ≠ DOI 年 | 卷归属年份与 DOI 编号年不一致 | Dadrass 卷2025/上线2024、Ni 卷2022/DOI含2020 | | **Early Access 元数据漂移** | IEEE 等期刊 Early Access 转正式出版后卷/期/页/年会变化,**以 CrossRef 现值为准** | TGRS autoencoder 文 59(12):10437-10449,2021 → 60:1-13,2022 | | 作者**中间名缺失/多余** | "Rabiner L" vs "Rabiner L R" | 一般不影响检索 | | **期号**缺失 | 脚本有卷无期 | Smogavec 2025: 17→17(10) | | 页码偏差 ≤4 | 细微差异 | Leckebusch 15-24→15-25 | | 出版社名写法差异 | "IET" vs "IEE" | 历史名称变更 |
#### 🟢 Info(仅供参考)
| 检查项 | 说明 | |--------|------| | 标题大小写不同 | Title Case vs Sentence case | | 期刊名缩写 vs 全称 | "IEEE Trans. AES" vs "IEEE Transactions on Aerospace and Electronic Systems" | | 标点/连接词差异 | "and" vs "&" 等 |
### Step 4: 置信度评估
每条文献最终给出一个综合置信度:
| 等级 | 含义 | |------|------| | ✅ **Verified** | 多源一致,无需修改 | | ⚠️ **Check suggested** | 存在 🟡 级差异,需人工判断 | | ❌ **Needs fix** | 存在 🔴 级差异,必须更正 | | ❓ **Unverifiable** | 所有来源均无法查到(如内部报告、老旧学位论文)|
### Step 5: 输出报告
支持以下输出格式:
**Markdown 摘要报告:** ```markdown ## 验证结果:56 条文献
- ✅ Verified: 42 - ⚠️ Check suggested: 8 - ❌ Needs fix: 4 - ❓ Unverifiable: 2
### ❌ 必须修正 | # | 问题 | 当前值 | 正确值 | 来源 | |---|------|--------|--------|------| | [6] | 作者错误 | Smogavec P | Leckebusch J | Wiley | | [42] | 作者顺序颠倒 | Vainikainen P… | Mikhnev V A… | IEEE |
### ⚠️ 建议核对 | # | 问题 | 详情 | |---|------|------| | [18] | 卷年/DOI年不一致 | 卷年2025,DOI年2024 | ```
**BibTeX Patch:** 直接生成修正后的 `.bib` 文件内容。
**Zotero 更新指令:** 生成修正指令列表,用于批量修正 Zotero 库。注意写入路径的限制(2026 年实测):
- **Zotero 7 本地 HTTP API(localhost:23119)只读**——写操作返回 501,zotero-mcp 类集成不稳定多源于此层包装或 Zotero 繁忙,直连 curl 加 `--max-time` 探测即可判断; - **批量写入首选 pyzotero Web 模式**(需 userID + API key,全功能 CRUD,自带 429 退避); - 无 key 时可用本地 `/connector/saveItems` 端点**新增**条目(不能改已有条目); - 直接改 `zotero.sqlite` 仅在 Zotero 关闭后可行,且需手工维护多表关联与版本号,**仅作最后手段**; - 修正前先确认条目在库:按标题检索为空则说明 bib 另有来源(如文献管理 CSV),Zotero 侧无需修正。
## 多来源交叉验证策略
```text ┌─────────────┐ │ 用户输入 │ │ DOI/标题 │ └──────┬──────┘ │ ▼ ┌─────────────┐ │ 字段拆分 │ │ author/title │ │ year/vol/pg │ └──────┬──────┘ │ ┌──────────────┼──────────────┐ ▼ ▼ ▼ ┌──────────┐ ┌──────────┐ ┌──────────┐ │ CrossRef │ │ IEEE │ │ WebSearch│ │ (DOI) │ │ Xplore │ │ (Bing/GG)│ └────┬─────┘ └────┬─────┘ └────┬─────┘ │ │ │ ▼ ▼ ▼ ┌──────────────────────────────────────┐ │ 字段级对比 + 差异评级 │ │ author / title / year / vol / issue │ │ pages / DOI / journal │ └────────────────┬─────────────────────┘ │ ▼ ┌────────────────┐ │ 置信度评估 │ │ ✅ ⚠️ ❌ ❓ │ └────────────────┘ ```
## 已知局限与应对
| 局限 | 应对 | |------|------| | **中文 DOI 不在 Crossref 中** | 降级到 CNKI/万方(通过 webbridge 或 WebSearch)| | **IEEE 老文献 DOI 返回 404** | 用 IEEE Xplore 直接搜(其 DOI 不在 Crossref 注册)| | **学位论文无 DOI** | 用 CNKI / 万方 / ProQuest 验证标题+作者+年份 | | **产品手册/专利** | 不验证元数据,只确认来源可访问 | | **谷歌学术搜不到部分文献** | 切换搜索引擎(Bing、百度学术、Semantic Scholar)|
## 环境依赖
以下工具为可选,有则启用、无则降级:
- `pyzotero[cli]`:推荐的 Zotero 读写通道(本地只读 + Web 读写双模式,CLI 可直接被 agent 以 Bash 调用,无常驻进程) - `zotero-cli` / `zotero-mcp`:Zotero 库读写(本地包装层,实测稳定性较差) - `kimi-datasource`(scholar):学术搜索 - `kimi-webbridge`:带登录态的 CNKI 查询 - 基础 WebSearch / FetchURL:通用兜底
Source provenance
Decision snapshot
38,702 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for nature-ref-verifier, ready for a manual X post.
Before you hand an agent a repeatable workflow, give it a repeatable starting point. nature-ref-verifier: >- 38.7K stars https://www.openagentskill.com/skills/yuan1z0825-nature-ref-verifier?ref=x
Listing + install path for nature-ref-verifier: https://www.openagentskill.com/skills/yuan1z0825-nature-ref-verifier?ref=x Install: npx skills add Yuan1z0825/nature-skills --skill nature-ref-verifier
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to Yuan1z0825 but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
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[](https://www.openagentskill.com/skills/yuan1z0825-nature-ref-verifier/audit)
[](https://www.openagentskill.com/skills/yuan1z0825-nature-ref-verifier?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)Yuan1z0825
@yuan1z0825
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
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Codex install prompt
Install the "nature-ref-verifier" agent skill from https://github.com/Yuan1z0825/nature-skills/tree/main/skills/nature-ref-verifier. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: >- After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"yuan1z0825-nature-ref-verifier","task":"Install nature-ref-verifier","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
CSV, SQL, notebooks, dashboards, data pipelines, BI, ETL, and spreadsheet analysis.
Scenario
Database and SQL
I need my agent to inspect database schemas, write SQL, and explain query results.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add Yuan1z0825/nature-skills --skill nature-ref-verifier
Maintenance
fresh
4d since push
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
39K
93/100 Quality · 76/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review · Permission surface may require sandboxing
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
39K GitHub stars
Repo activity
39K stars, 2.1K forks
Maintenance
4d since push
License
Apache-2.0
Install
npx skills add Yuan1z0825/nature-skills --skill nature-ref-verifier
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add Yuan1z0825/nature-skills --skill nature-ref-verifierDo not use when
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
high
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20nature-ref-verifier%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20nature-ref-verifier%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/yuan1z0825-nature-ref-verifier/install
Agent should check
Copy prompt
Task: Use nature-ref-verifier in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20nature-ref-verifier%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/yuan1z0825-nature-ref-verifier/install
Install command: npx skills add Yuan1z0825/nature-skills --skill nature-ref-verifier
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/yuan1z0825-nature-ref-verifier/install
LLM text format
/api/skills/yuan1z0825-nature-ref-verifier/install?format=text
Find alternatives
/api/skills/search?q=nature-ref-verifier&limit=3
Agent prompt
Use nature-ref-verifier for this task. Review https://www.openagentskill.com/api/skills/yuan1z0825-nature-ref-verifier/install, then install with: npx skills add Yuan1z0825/nature-skills --skill nature-ref-verifierRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/yuan1z0825-nature-ref-verifier
LLM text
/api/registry/manifest/yuan1z0825-nature-ref-verifier?format=text
Install alias
/api/registry/install/yuan1z0825-nature-ref-verifier
Recommend
/api/registry/recommend?task=Use%20nature-ref-verifier%20in%20an%20agent%20workflow&limit=3
Agent fit
RAG and knowledge
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
RAG and knowledge
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
PASS39K GitHub stars
Stars/forks activity
PASS39K stars, 2.1K forks; issue activity unavailable in current metadata
Recent maintenance
PASS4d since push
License clarity
PASSApache-2.0
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Search private knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Automate repeated work
I need my agent to automate a repeated workflow across tools and files.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Alternative shortlist
Similar skills that may fit this task.
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--- name: nature-ref-verifier description: >- 对学术文献逐条执行多源交叉验证,逐字段对比作者、标题、年份、卷期、页码, 标记卷年/DOI年冲突、作者顺序异常、页码偏差等问题,输出结构化验证报告。 可批量处理整篇论文/开题报告的参考文献列表,也可单条校验,支持与 Zotero 同步修正。 ---
# nature-ref-verifier — 学术参考文献多源验证技能
需要处理批量差异、反复出现的字段错误、DOI/标题冲突、作者顺序异常、页码漂移或 报告措辞时,读取 `references/common-patterns.md`。其他任务不要预加载该文件; `manifest.yaml` 记录了同一按需路由,新增资源时必须同时在本文件中写明加载条件。
## 触发词
`verify references`、`校验文献`、`check references`、`核对参考文献`、`文献验证`、`ref check`
## 适用场景
- 开题报告/论文提交前,对全部参考文献做最终核查 - 收到审稿意见指出引用错误时,精准定位问题 - 从旧项目迁移参考文献到新论文时,批量验证有效性 - Zotero 库定期健康检查
## 工作流
### Step 1: 解析输入
支持三种输入格式:
**A. 整篇论文/开题报告** - 提取所有 `[N]` 编号的参考文献列表 - 自动识别每条的 DOI(如有)
**B. 单条参考文献** - 用户直接粘贴一条引用文本 - 或传入 Zotero item key
**C. BibTeX 文件** - 直接解析 `.bib`,逐条校验
### Step 2: 多源并行查询
**Step 2.0(最便宜、最先做):DOI 可解析性检查。** 对每条有 DOI 的文献先请求 `https://api.crossref.org/works/<DOI>`:404 → DOI 本身错误(高度疑似错号);200 → 比对返回记录的标题/作者/卷期页与条目,不一致即"DOI 张冠李戴"。单次请求即可发现实践中最常见的一类错误(一次 35 条核查中 7/9 的错误属于此类)。
对每条文献,并行查询以下来源(可用哪些取决于环境配置):
| 来源 | 适用文献 | 典型覆盖率 | |------|---------|-----------| | **Crossref** | 有 DOI 的外文期刊 | ~70%(IEEE 老文献、中文期刊常有缺失)| | **IEEE Xplore** | IEEE 期刊/会议 | IEEE DOI 404 时的备选 | | **WebSearch (Bing/Google)** | 无 DOI 或来源缺失的文献 | 兜底方案 | | **CNKI/万方** (kimi-datasource / webbridge) | 中文期刊、学位论文 | 中文文献必查 | | **Zotero 本地库** (zotero-mcp) | 已入库文献 | 快速比对已有数据 |
**查询策略:** 优先用 DOI 查 Crossref,失败后降级用标题+作者搜 Web。
**批量策略:** 超过 20 条时按 10–15 条一组拆给并行子代理,每组独立查询后汇总——35 条规模实测 3 个并行子代理即可在一次往返内完成,串行会慢一个数量级。
### Step 3: 字段级对比
对每条文献执行以下对比矩阵,按严重程度分为三级:
#### 🔴 Critical(必须修正)
| 检查项 | 说明 | 典型案例 | |--------|------|---------| | 作者**姓名/顺序**不一致 | 第一作者不同、顺序颠倒、完全编造 | Smogavec→Leckebusch、Vainikainen→Mikhnev | | 作者**漏人** | 条目作者数少于出版方记录(常见于 5+ 作者文献只录前 3-4 人) | TGRS 2019 PCA 文漏第 5 作者 Ge;TAES 2021 UAV 文漏第 5 作者 Kim | | **页码**差异 ≥5 | 页码完全不匹配 | Noon: 1309-1319→1444-1449 | | **文章号字母误判** | 文章号含字母被写成形近数字(T/7、l/1、O/0) | SPIE 101880T 误作 1018807 | | **标题核心词**不一致 | 非大小写/标点差异 | Iwasaki T→Wu K H、Zhang W→Zhu M H | | DOI 指向不同论文 | DOI 存在但标题/作者不对应 | Abidi 1995: 10.1109/4.482157→10.1109/4.482187 | | DOI 张冠李戴 | DOI 可解析但解析到**另一篇**论文(比对标题作者即可发现) | JAG 2017 SVD 文 DOI 指向同卷 ERT 论文;AST 2022 旋翼文 DOI 指向涡轮噪声论文 |
#### 🟡 Warning(建议核对)
| 检查项 | 说明 | 典型案例 | |--------|------|---------| | **卷年** ≠ DOI 年 | 卷归属年份与 DOI 编号年不一致 | Dadrass 卷2025/上线2024、Ni 卷2022/DOI含2020 | | **Early Access 元数据漂移** | IEEE 等期刊 Early Access 转正式出版后卷/期/页/年会变化,**以 CrossRef 现值为准** | TGRS autoencoder 文 59(12):10437-10449,2021 → 60:1-13,2022 | | 作者**中间名缺失/多余** | "Rabiner L" vs "Rabiner L R" | 一般不影响检索 | | **期号**缺失 | 脚本有卷无期 | Smogavec 2025: 17→17(10) | | 页码偏差 ≤4 | 细微差异 | Leckebusch 15-24→15-25 | | 出版社名写法差异 | "IET" vs "IEE" | 历史名称变更 |
#### 🟢 Info(仅供参考)
| 检查项 | 说明 | |--------|------| | 标题大小写不同 | Title Case vs Sentence case | | 期刊名缩写 vs 全称 | "IEEE Trans. AES" vs "IEEE Transactions on Aerospace and Electronic Systems" | | 标点/连接词差异 | "and" vs "&" 等 |
### Step 4: 置信度评估
每条文献最终给出一个综合置信度:
| 等级 | 含义 | |------|------| | ✅ **Verified** | 多源一致,无需修改 | | ⚠️ **Check suggested** | 存在 🟡 级差异,需人工判断 | | ❌ **Needs fix** | 存在 🔴 级差异,必须更正 | | ❓ **Unverifiable** | 所有来源均无法查到(如内部报告、老旧学位论文)|
### Step 5: 输出报告
支持以下输出格式:
**Markdown 摘要报告:** ```markdown ## 验证结果:56 条文献
- ✅ Verified: 42 - ⚠️ Check suggested: 8 - ❌ Needs fix: 4 - ❓ Unverifiable: 2
### ❌ 必须修正 | # | 问题 | 当前值 | 正确值 | 来源 | |---|------|--------|--------|------| | [6] | 作者错误 | Smogavec P | Leckebusch J | Wiley | | [42] | 作者顺序颠倒 | Vainikainen P… | Mikhnev V A… | IEEE |
### ⚠️ 建议核对 | # | 问题 | 详情 | |---|------|------| | [18] | 卷年/DOI年不一致 | 卷年2025,DOI年2024 | ```
**BibTeX Patch:** 直接生成修正后的 `.bib` 文件内容。
**Zotero 更新指令:** 生成修正指令列表,用于批量修正 Zotero 库。注意写入路径的限制(2026 年实测):
- **Zotero 7 本地 HTTP API(localhost:23119)只读**——写操作返回 501,zotero-mcp 类集成不稳定多源于此层包装或 Zotero 繁忙,直连 curl 加 `--max-time` 探测即可判断; - **批量写入首选 pyzotero Web 模式**(需 userID + API key,全功能 CRUD,自带 429 退避); - 无 key 时可用本地 `/connector/saveItems` 端点**新增**条目(不能改已有条目); - 直接改 `zotero.sqlite` 仅在 Zotero 关闭后可行,且需手工维护多表关联与版本号,**仅作最后手段**; - 修正前先确认条目在库:按标题检索为空则说明 bib 另有来源(如文献管理 CSV),Zotero 侧无需修正。
## 多来源交叉验证策略
```text ┌─────────────┐ │ 用户输入 │ │ DOI/标题 │ └──────┬──────┘ │ ▼ ┌─────────────┐ │ 字段拆分 │ │ author/title │ │ year/vol/pg │ └──────┬──────┘ │ ┌──────────────┼──────────────┐ ▼ ▼ ▼ ┌──────────┐ ┌──────────┐ ┌──────────┐ │ CrossRef │ │ IEEE │ │ WebSearch│ │ (DOI) │ │ Xplore │ │ (Bing/GG)│ └────┬─────┘ └────┬─────┘ └────┬─────┘ │ │ │ ▼ ▼ ▼ ┌──────────────────────────────────────┐ │ 字段级对比 + 差异评级 │ │ author / title / year / vol / issue │ │ pages / DOI / journal │ └────────────────┬─────────────────────┘ │ ▼ ┌────────────────┐ │ 置信度评估 │ │ ✅ ⚠️ ❌ ❓ │ └────────────────┘ ```
## 已知局限与应对
| 局限 | 应对 | |------|------| | **中文 DOI 不在 Crossref 中** | 降级到 CNKI/万方(通过 webbridge 或 WebSearch)| | **IEEE 老文献 DOI 返回 404** | 用 IEEE Xplore 直接搜(其 DOI 不在 Crossref 注册)| | **学位论文无 DOI** | 用 CNKI / 万方 / ProQuest 验证标题+作者+年份 | | **产品手册/专利** | 不验证元数据,只确认来源可访问 | | **谷歌学术搜不到部分文献** | 切换搜索引擎(Bing、百度学术、Semantic Scholar)|
## 环境依赖
以下工具为可选,有则启用、无则降级:
- `pyzotero[cli]`:推荐的 Zotero 读写通道(本地只读 + Web 读写双模式,CLI 可直接被 agent 以 Bash 调用,无常驻进程) - `zotero-cli` / `zotero-mcp`:Zotero 库读写(本地包装层,实测稳定性较差) - `kimi-datasource`(scholar):学术搜索 - `kimi-webbridge`:带登录态的 CNKI 查询 - 基础 WebSearch / FetchURL:通用兜底
Source provenance
Decision snapshot
38,702 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for nature-ref-verifier, ready for a manual X post.
Before you hand an agent a repeatable workflow, give it a repeatable starting point. nature-ref-verifier: >- 38.7K stars https://www.openagentskill.com/skills/yuan1z0825-nature-ref-verifier?ref=x
Listing + install path for nature-ref-verifier: https://www.openagentskill.com/skills/yuan1z0825-nature-ref-verifier?ref=x Install: npx skills add Yuan1z0825/nature-skills --skill nature-ref-verifier
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to Yuan1z0825 but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/yuan1z0825-nature-ref-verifier?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/yuan1z0825-nature-ref-verifier?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/yuan1z0825-nature-ref-verifier/audit)
[](https://www.openagentskill.com/skills/yuan1z0825-nature-ref-verifier?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)Yuan1z0825
@yuan1z0825
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
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Codex install prompt
Install the "nature-ref-verifier" agent skill from https://github.com/Yuan1z0825/nature-skills/tree/main/skills/nature-ref-verifier. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: >- After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"yuan1z0825-nature-ref-verifier","task":"Install nature-ref-verifier","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
CSV, SQL, notebooks, dashboards, data pipelines, BI, ETL, and spreadsheet analysis.
Scenario
Database and SQL
I need my agent to inspect database schemas, write SQL, and explain query results.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add Yuan1z0825/nature-skills --skill nature-ref-verifier
Maintenance
fresh
4d since push
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
39K
93/100 Quality · 76/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review · Permission surface may require sandboxing
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
39K GitHub stars
Repo activity
39K stars, 2.1K forks
Maintenance
4d since push
License
Apache-2.0
Install
npx skills add Yuan1z0825/nature-skills --skill nature-ref-verifier
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add Yuan1z0825/nature-skills --skill nature-ref-verifierDo not use when
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
high
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20nature-ref-verifier%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20nature-ref-verifier%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/yuan1z0825-nature-ref-verifier/install
Agent should check
Copy prompt
Task: Use nature-ref-verifier in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20nature-ref-verifier%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/yuan1z0825-nature-ref-verifier/install
Install command: npx skills add Yuan1z0825/nature-skills --skill nature-ref-verifier
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/yuan1z0825-nature-ref-verifier/install
LLM text format
/api/skills/yuan1z0825-nature-ref-verifier/install?format=text
Find alternatives
/api/skills/search?q=nature-ref-verifier&limit=3
Agent prompt
Use nature-ref-verifier for this task. Review https://www.openagentskill.com/api/skills/yuan1z0825-nature-ref-verifier/install, then install with: npx skills add Yuan1z0825/nature-skills --skill nature-ref-verifierRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/yuan1z0825-nature-ref-verifier
LLM text
/api/registry/manifest/yuan1z0825-nature-ref-verifier?format=text
Install alias
/api/registry/install/yuan1z0825-nature-ref-verifier
Recommend
/api/registry/recommend?task=Use%20nature-ref-verifier%20in%20an%20agent%20workflow&limit=3
Agent fit
RAG and knowledge
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
RAG and knowledge
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
PASS39K GitHub stars
Stars/forks activity
PASS39K stars, 2.1K forks; issue activity unavailable in current metadata
Recent maintenance
PASS4d since push
License clarity
PASSApache-2.0
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Search private knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Automate repeated work
I need my agent to automate a repeated workflow across tools and files.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Alternative shortlist
Similar skills that may fit this task.
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--- name: nature-ref-verifier description: >- 对学术文献逐条执行多源交叉验证,逐字段对比作者、标题、年份、卷期、页码, 标记卷年/DOI年冲突、作者顺序异常、页码偏差等问题,输出结构化验证报告。 可批量处理整篇论文/开题报告的参考文献列表,也可单条校验,支持与 Zotero 同步修正。 ---
# nature-ref-verifier — 学术参考文献多源验证技能
需要处理批量差异、反复出现的字段错误、DOI/标题冲突、作者顺序异常、页码漂移或 报告措辞时,读取 `references/common-patterns.md`。其他任务不要预加载该文件; `manifest.yaml` 记录了同一按需路由,新增资源时必须同时在本文件中写明加载条件。
## 触发词
`verify references`、`校验文献`、`check references`、`核对参考文献`、`文献验证`、`ref check`
## 适用场景
- 开题报告/论文提交前,对全部参考文献做最终核查 - 收到审稿意见指出引用错误时,精准定位问题 - 从旧项目迁移参考文献到新论文时,批量验证有效性 - Zotero 库定期健康检查
## 工作流
### Step 1: 解析输入
支持三种输入格式:
**A. 整篇论文/开题报告** - 提取所有 `[N]` 编号的参考文献列表 - 自动识别每条的 DOI(如有)
**B. 单条参考文献** - 用户直接粘贴一条引用文本 - 或传入 Zotero item key
**C. BibTeX 文件** - 直接解析 `.bib`,逐条校验
### Step 2: 多源并行查询
**Step 2.0(最便宜、最先做):DOI 可解析性检查。** 对每条有 DOI 的文献先请求 `https://api.crossref.org/works/<DOI>`:404 → DOI 本身错误(高度疑似错号);200 → 比对返回记录的标题/作者/卷期页与条目,不一致即"DOI 张冠李戴"。单次请求即可发现实践中最常见的一类错误(一次 35 条核查中 7/9 的错误属于此类)。
对每条文献,并行查询以下来源(可用哪些取决于环境配置):
| 来源 | 适用文献 | 典型覆盖率 | |------|---------|-----------| | **Crossref** | 有 DOI 的外文期刊 | ~70%(IEEE 老文献、中文期刊常有缺失)| | **IEEE Xplore** | IEEE 期刊/会议 | IEEE DOI 404 时的备选 | | **WebSearch (Bing/Google)** | 无 DOI 或来源缺失的文献 | 兜底方案 | | **CNKI/万方** (kimi-datasource / webbridge) | 中文期刊、学位论文 | 中文文献必查 | | **Zotero 本地库** (zotero-mcp) | 已入库文献 | 快速比对已有数据 |
**查询策略:** 优先用 DOI 查 Crossref,失败后降级用标题+作者搜 Web。
**批量策略:** 超过 20 条时按 10–15 条一组拆给并行子代理,每组独立查询后汇总——35 条规模实测 3 个并行子代理即可在一次往返内完成,串行会慢一个数量级。
### Step 3: 字段级对比
对每条文献执行以下对比矩阵,按严重程度分为三级:
#### 🔴 Critical(必须修正)
| 检查项 | 说明 | 典型案例 | |--------|------|---------| | 作者**姓名/顺序**不一致 | 第一作者不同、顺序颠倒、完全编造 | Smogavec→Leckebusch、Vainikainen→Mikhnev | | 作者**漏人** | 条目作者数少于出版方记录(常见于 5+ 作者文献只录前 3-4 人) | TGRS 2019 PCA 文漏第 5 作者 Ge;TAES 2021 UAV 文漏第 5 作者 Kim | | **页码**差异 ≥5 | 页码完全不匹配 | Noon: 1309-1319→1444-1449 | | **文章号字母误判** | 文章号含字母被写成形近数字(T/7、l/1、O/0) | SPIE 101880T 误作 1018807 | | **标题核心词**不一致 | 非大小写/标点差异 | Iwasaki T→Wu K H、Zhang W→Zhu M H | | DOI 指向不同论文 | DOI 存在但标题/作者不对应 | Abidi 1995: 10.1109/4.482157→10.1109/4.482187 | | DOI 张冠李戴 | DOI 可解析但解析到**另一篇**论文(比对标题作者即可发现) | JAG 2017 SVD 文 DOI 指向同卷 ERT 论文;AST 2022 旋翼文 DOI 指向涡轮噪声论文 |
#### 🟡 Warning(建议核对)
| 检查项 | 说明 | 典型案例 | |--------|------|---------| | **卷年** ≠ DOI 年 | 卷归属年份与 DOI 编号年不一致 | Dadrass 卷2025/上线2024、Ni 卷2022/DOI含2020 | | **Early Access 元数据漂移** | IEEE 等期刊 Early Access 转正式出版后卷/期/页/年会变化,**以 CrossRef 现值为准** | TGRS autoencoder 文 59(12):10437-10449,2021 → 60:1-13,2022 | | 作者**中间名缺失/多余** | "Rabiner L" vs "Rabiner L R" | 一般不影响检索 | | **期号**缺失 | 脚本有卷无期 | Smogavec 2025: 17→17(10) | | 页码偏差 ≤4 | 细微差异 | Leckebusch 15-24→15-25 | | 出版社名写法差异 | "IET" vs "IEE" | 历史名称变更 |
#### 🟢 Info(仅供参考)
| 检查项 | 说明 | |--------|------| | 标题大小写不同 | Title Case vs Sentence case | | 期刊名缩写 vs 全称 | "IEEE Trans. AES" vs "IEEE Transactions on Aerospace and Electronic Systems" | | 标点/连接词差异 | "and" vs "&" 等 |
### Step 4: 置信度评估
每条文献最终给出一个综合置信度:
| 等级 | 含义 | |------|------| | ✅ **Verified** | 多源一致,无需修改 | | ⚠️ **Check suggested** | 存在 🟡 级差异,需人工判断 | | ❌ **Needs fix** | 存在 🔴 级差异,必须更正 | | ❓ **Unverifiable** | 所有来源均无法查到(如内部报告、老旧学位论文)|
### Step 5: 输出报告
支持以下输出格式:
**Markdown 摘要报告:** ```markdown ## 验证结果:56 条文献
- ✅ Verified: 42 - ⚠️ Check suggested: 8 - ❌ Needs fix: 4 - ❓ Unverifiable: 2
### ❌ 必须修正 | # | 问题 | 当前值 | 正确值 | 来源 | |---|------|--------|--------|------| | [6] | 作者错误 | Smogavec P | Leckebusch J | Wiley | | [42] | 作者顺序颠倒 | Vainikainen P… | Mikhnev V A… | IEEE |
### ⚠️ 建议核对 | # | 问题 | 详情 | |---|------|------| | [18] | 卷年/DOI年不一致 | 卷年2025,DOI年2024 | ```
**BibTeX Patch:** 直接生成修正后的 `.bib` 文件内容。
**Zotero 更新指令:** 生成修正指令列表,用于批量修正 Zotero 库。注意写入路径的限制(2026 年实测):
- **Zotero 7 本地 HTTP API(localhost:23119)只读**——写操作返回 501,zotero-mcp 类集成不稳定多源于此层包装或 Zotero 繁忙,直连 curl 加 `--max-time` 探测即可判断; - **批量写入首选 pyzotero Web 模式**(需 userID + API key,全功能 CRUD,自带 429 退避); - 无 key 时可用本地 `/connector/saveItems` 端点**新增**条目(不能改已有条目); - 直接改 `zotero.sqlite` 仅在 Zotero 关闭后可行,且需手工维护多表关联与版本号,**仅作最后手段**; - 修正前先确认条目在库:按标题检索为空则说明 bib 另有来源(如文献管理 CSV),Zotero 侧无需修正。
## 多来源交叉验证策略
```text ┌─────────────┐ │ 用户输入 │ │ DOI/标题 │ └──────┬──────┘ │ ▼ ┌─────────────┐ │ 字段拆分 │ │ author/title │ │ year/vol/pg │ └──────┬──────┘ │ ┌──────────────┼──────────────┐ ▼ ▼ ▼ ┌──────────┐ ┌──────────┐ ┌──────────┐ │ CrossRef │ │ IEEE │ │ WebSearch│ │ (DOI) │ │ Xplore │ │ (Bing/GG)│ └────┬─────┘ └────┬─────┘ └────┬─────┘ │ │ │ ▼ ▼ ▼ ┌──────────────────────────────────────┐ │ 字段级对比 + 差异评级 │ │ author / title / year / vol / issue │ │ pages / DOI / journal │ └────────────────┬─────────────────────┘ │ ▼ ┌────────────────┐ │ 置信度评估 │ │ ✅ ⚠️ ❌ ❓ │ └────────────────┘ ```
## 已知局限与应对
| 局限 | 应对 | |------|------| | **中文 DOI 不在 Crossref 中** | 降级到 CNKI/万方(通过 webbridge 或 WebSearch)| | **IEEE 老文献 DOI 返回 404** | 用 IEEE Xplore 直接搜(其 DOI 不在 Crossref 注册)| | **学位论文无 DOI** | 用 CNKI / 万方 / ProQuest 验证标题+作者+年份 | | **产品手册/专利** | 不验证元数据,只确认来源可访问 | | **谷歌学术搜不到部分文献** | 切换搜索引擎(Bing、百度学术、Semantic Scholar)|
## 环境依赖
以下工具为可选,有则启用、无则降级:
- `pyzotero[cli]`:推荐的 Zotero 读写通道(本地只读 + Web 读写双模式,CLI 可直接被 agent 以 Bash 调用,无常驻进程) - `zotero-cli` / `zotero-mcp`:Zotero 库读写(本地包装层,实测稳定性较差) - `kimi-datasource`(scholar):学术搜索 - `kimi-webbridge`:带登录态的 CNKI 查询 - 基础 WebSearch / FetchURL:通用兜底
Source provenance
Decision snapshot
38,702 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for nature-ref-verifier, ready for a manual X post.
Before you hand an agent a repeatable workflow, give it a repeatable starting point. nature-ref-verifier: >- 38.7K stars https://www.openagentskill.com/skills/yuan1z0825-nature-ref-verifier?ref=x
Listing + install path for nature-ref-verifier: https://www.openagentskill.com/skills/yuan1z0825-nature-ref-verifier?ref=x Install: npx skills add Yuan1z0825/nature-skills --skill nature-ref-verifier
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to Yuan1z0825 but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/yuan1z0825-nature-ref-verifier?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/yuan1z0825-nature-ref-verifier?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/yuan1z0825-nature-ref-verifier/audit)
[](https://www.openagentskill.com/skills/yuan1z0825-nature-ref-verifier?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)Yuan1z0825
@yuan1z0825
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
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24.7K StarsInstall targets
Codex install prompt
Install the "nature-ref-verifier" agent skill from https://github.com/Yuan1z0825/nature-skills/tree/main/skills/nature-ref-verifier. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: >- After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"yuan1z0825-nature-ref-verifier","task":"Install nature-ref-verifier","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
CSV, SQL, notebooks, dashboards, data pipelines, BI, ETL, and spreadsheet analysis.
Scenario
Database and SQL
I need my agent to inspect database schemas, write SQL, and explain query results.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add Yuan1z0825/nature-skills --skill nature-ref-verifier
Maintenance
fresh
4d since push
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
39K
93/100 Quality · 76/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review · Permission surface may require sandboxing
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
39K GitHub stars
Repo activity
39K stars, 2.1K forks
Maintenance
4d since push
License
Apache-2.0
Install
npx skills add Yuan1z0825/nature-skills --skill nature-ref-verifier
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add Yuan1z0825/nature-skills --skill nature-ref-verifierDo not use when
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
high
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20nature-ref-verifier%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20nature-ref-verifier%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/yuan1z0825-nature-ref-verifier/install
Agent should check
Copy prompt
Task: Use nature-ref-verifier in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20nature-ref-verifier%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/yuan1z0825-nature-ref-verifier/install
Install command: npx skills add Yuan1z0825/nature-skills --skill nature-ref-verifier
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/yuan1z0825-nature-ref-verifier/install
LLM text format
/api/skills/yuan1z0825-nature-ref-verifier/install?format=text
Find alternatives
/api/skills/search?q=nature-ref-verifier&limit=3
Agent prompt
Use nature-ref-verifier for this task. Review https://www.openagentskill.com/api/skills/yuan1z0825-nature-ref-verifier/install, then install with: npx skills add Yuan1z0825/nature-skills --skill nature-ref-verifierRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/yuan1z0825-nature-ref-verifier
LLM text
/api/registry/manifest/yuan1z0825-nature-ref-verifier?format=text
Install alias
/api/registry/install/yuan1z0825-nature-ref-verifier
Recommend
/api/registry/recommend?task=Use%20nature-ref-verifier%20in%20an%20agent%20workflow&limit=3
Agent fit
RAG and knowledge
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
RAG and knowledge
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
PASS39K GitHub stars
Stars/forks activity
PASS39K stars, 2.1K forks; issue activity unavailable in current metadata
Recent maintenance
PASS4d since push
License clarity
PASSApache-2.0
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Search private knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Automate repeated work
I need my agent to automate a repeated workflow across tools and files.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Alternative shortlist
Similar skills that may fit this task.
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--- name: nature-ref-verifier description: >- 对学术文献逐条执行多源交叉验证,逐字段对比作者、标题、年份、卷期、页码, 标记卷年/DOI年冲突、作者顺序异常、页码偏差等问题,输出结构化验证报告。 可批量处理整篇论文/开题报告的参考文献列表,也可单条校验,支持与 Zotero 同步修正。 ---
# nature-ref-verifier — 学术参考文献多源验证技能
需要处理批量差异、反复出现的字段错误、DOI/标题冲突、作者顺序异常、页码漂移或 报告措辞时,读取 `references/common-patterns.md`。其他任务不要预加载该文件; `manifest.yaml` 记录了同一按需路由,新增资源时必须同时在本文件中写明加载条件。
## 触发词
`verify references`、`校验文献`、`check references`、`核对参考文献`、`文献验证`、`ref check`
## 适用场景
- 开题报告/论文提交前,对全部参考文献做最终核查 - 收到审稿意见指出引用错误时,精准定位问题 - 从旧项目迁移参考文献到新论文时,批量验证有效性 - Zotero 库定期健康检查
## 工作流
### Step 1: 解析输入
支持三种输入格式:
**A. 整篇论文/开题报告** - 提取所有 `[N]` 编号的参考文献列表 - 自动识别每条的 DOI(如有)
**B. 单条参考文献** - 用户直接粘贴一条引用文本 - 或传入 Zotero item key
**C. BibTeX 文件** - 直接解析 `.bib`,逐条校验
### Step 2: 多源并行查询
**Step 2.0(最便宜、最先做):DOI 可解析性检查。** 对每条有 DOI 的文献先请求 `https://api.crossref.org/works/<DOI>`:404 → DOI 本身错误(高度疑似错号);200 → 比对返回记录的标题/作者/卷期页与条目,不一致即"DOI 张冠李戴"。单次请求即可发现实践中最常见的一类错误(一次 35 条核查中 7/9 的错误属于此类)。
对每条文献,并行查询以下来源(可用哪些取决于环境配置):
| 来源 | 适用文献 | 典型覆盖率 | |------|---------|-----------| | **Crossref** | 有 DOI 的外文期刊 | ~70%(IEEE 老文献、中文期刊常有缺失)| | **IEEE Xplore** | IEEE 期刊/会议 | IEEE DOI 404 时的备选 | | **WebSearch (Bing/Google)** | 无 DOI 或来源缺失的文献 | 兜底方案 | | **CNKI/万方** (kimi-datasource / webbridge) | 中文期刊、学位论文 | 中文文献必查 | | **Zotero 本地库** (zotero-mcp) | 已入库文献 | 快速比对已有数据 |
**查询策略:** 优先用 DOI 查 Crossref,失败后降级用标题+作者搜 Web。
**批量策略:** 超过 20 条时按 10–15 条一组拆给并行子代理,每组独立查询后汇总——35 条规模实测 3 个并行子代理即可在一次往返内完成,串行会慢一个数量级。
### Step 3: 字段级对比
对每条文献执行以下对比矩阵,按严重程度分为三级:
#### 🔴 Critical(必须修正)
| 检查项 | 说明 | 典型案例 | |--------|------|---------| | 作者**姓名/顺序**不一致 | 第一作者不同、顺序颠倒、完全编造 | Smogavec→Leckebusch、Vainikainen→Mikhnev | | 作者**漏人** | 条目作者数少于出版方记录(常见于 5+ 作者文献只录前 3-4 人) | TGRS 2019 PCA 文漏第 5 作者 Ge;TAES 2021 UAV 文漏第 5 作者 Kim | | **页码**差异 ≥5 | 页码完全不匹配 | Noon: 1309-1319→1444-1449 | | **文章号字母误判** | 文章号含字母被写成形近数字(T/7、l/1、O/0) | SPIE 101880T 误作 1018807 | | **标题核心词**不一致 | 非大小写/标点差异 | Iwasaki T→Wu K H、Zhang W→Zhu M H | | DOI 指向不同论文 | DOI 存在但标题/作者不对应 | Abidi 1995: 10.1109/4.482157→10.1109/4.482187 | | DOI 张冠李戴 | DOI 可解析但解析到**另一篇**论文(比对标题作者即可发现) | JAG 2017 SVD 文 DOI 指向同卷 ERT 论文;AST 2022 旋翼文 DOI 指向涡轮噪声论文 |
#### 🟡 Warning(建议核对)
| 检查项 | 说明 | 典型案例 | |--------|------|---------| | **卷年** ≠ DOI 年 | 卷归属年份与 DOI 编号年不一致 | Dadrass 卷2025/上线2024、Ni 卷2022/DOI含2020 | | **Early Access 元数据漂移** | IEEE 等期刊 Early Access 转正式出版后卷/期/页/年会变化,**以 CrossRef 现值为准** | TGRS autoencoder 文 59(12):10437-10449,2021 → 60:1-13,2022 | | 作者**中间名缺失/多余** | "Rabiner L" vs "Rabiner L R" | 一般不影响检索 | | **期号**缺失 | 脚本有卷无期 | Smogavec 2025: 17→17(10) | | 页码偏差 ≤4 | 细微差异 | Leckebusch 15-24→15-25 | | 出版社名写法差异 | "IET" vs "IEE" | 历史名称变更 |
#### 🟢 Info(仅供参考)
| 检查项 | 说明 | |--------|------| | 标题大小写不同 | Title Case vs Sentence case | | 期刊名缩写 vs 全称 | "IEEE Trans. AES" vs "IEEE Transactions on Aerospace and Electronic Systems" | | 标点/连接词差异 | "and" vs "&" 等 |
### Step 4: 置信度评估
每条文献最终给出一个综合置信度:
| 等级 | 含义 | |------|------| | ✅ **Verified** | 多源一致,无需修改 | | ⚠️ **Check suggested** | 存在 🟡 级差异,需人工判断 | | ❌ **Needs fix** | 存在 🔴 级差异,必须更正 | | ❓ **Unverifiable** | 所有来源均无法查到(如内部报告、老旧学位论文)|
### Step 5: 输出报告
支持以下输出格式:
**Markdown 摘要报告:** ```markdown ## 验证结果:56 条文献
- ✅ Verified: 42 - ⚠️ Check suggested: 8 - ❌ Needs fix: 4 - ❓ Unverifiable: 2
### ❌ 必须修正 | # | 问题 | 当前值 | 正确值 | 来源 | |---|------|--------|--------|------| | [6] | 作者错误 | Smogavec P | Leckebusch J | Wiley | | [42] | 作者顺序颠倒 | Vainikainen P… | Mikhnev V A… | IEEE |
### ⚠️ 建议核对 | # | 问题 | 详情 | |---|------|------| | [18] | 卷年/DOI年不一致 | 卷年2025,DOI年2024 | ```
**BibTeX Patch:** 直接生成修正后的 `.bib` 文件内容。
**Zotero 更新指令:** 生成修正指令列表,用于批量修正 Zotero 库。注意写入路径的限制(2026 年实测):
- **Zotero 7 本地 HTTP API(localhost:23119)只读**——写操作返回 501,zotero-mcp 类集成不稳定多源于此层包装或 Zotero 繁忙,直连 curl 加 `--max-time` 探测即可判断; - **批量写入首选 pyzotero Web 模式**(需 userID + API key,全功能 CRUD,自带 429 退避); - 无 key 时可用本地 `/connector/saveItems` 端点**新增**条目(不能改已有条目); - 直接改 `zotero.sqlite` 仅在 Zotero 关闭后可行,且需手工维护多表关联与版本号,**仅作最后手段**; - 修正前先确认条目在库:按标题检索为空则说明 bib 另有来源(如文献管理 CSV),Zotero 侧无需修正。
## 多来源交叉验证策略
```text ┌─────────────┐ │ 用户输入 │ │ DOI/标题 │ └──────┬──────┘ │ ▼ ┌─────────────┐ │ 字段拆分 │ │ author/title │ │ year/vol/pg │ └──────┬──────┘ │ ┌──────────────┼──────────────┐ ▼ ▼ ▼ ┌──────────┐ ┌──────────┐ ┌──────────┐ │ CrossRef │ │ IEEE │ │ WebSearch│ │ (DOI) │ │ Xplore │ │ (Bing/GG)│ └────┬─────┘ └────┬─────┘ └────┬─────┘ │ │ │ ▼ ▼ ▼ ┌──────────────────────────────────────┐ │ 字段级对比 + 差异评级 │ │ author / title / year / vol / issue │ │ pages / DOI / journal │ └────────────────┬─────────────────────┘ │ ▼ ┌────────────────┐ │ 置信度评估 │ │ ✅ ⚠️ ❌ ❓ │ └────────────────┘ ```
## 已知局限与应对
| 局限 | 应对 | |------|------| | **中文 DOI 不在 Crossref 中** | 降级到 CNKI/万方(通过 webbridge 或 WebSearch)| | **IEEE 老文献 DOI 返回 404** | 用 IEEE Xplore 直接搜(其 DOI 不在 Crossref 注册)| | **学位论文无 DOI** | 用 CNKI / 万方 / ProQuest 验证标题+作者+年份 | | **产品手册/专利** | 不验证元数据,只确认来源可访问 | | **谷歌学术搜不到部分文献** | 切换搜索引擎(Bing、百度学术、Semantic Scholar)|
## 环境依赖
以下工具为可选,有则启用、无则降级:
- `pyzotero[cli]`:推荐的 Zotero 读写通道(本地只读 + Web 读写双模式,CLI 可直接被 agent 以 Bash 调用,无常驻进程) - `zotero-cli` / `zotero-mcp`:Zotero 库读写(本地包装层,实测稳定性较差) - `kimi-datasource`(scholar):学术搜索 - `kimi-webbridge`:带登录态的 CNKI 查询 - 基础 WebSearch / FetchURL:通用兜底
Source provenance
Decision snapshot
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Outcome reports after resolve, review, install, and one narrow run.
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Scenario-led draft for nature-ref-verifier, ready for a manual X post.
Before you hand an agent a repeatable workflow, give it a repeatable starting point. nature-ref-verifier: >- 38.7K stars https://www.openagentskill.com/skills/yuan1z0825-nature-ref-verifier?ref=x
Listing + install path for nature-ref-verifier: https://www.openagentskill.com/skills/yuan1z0825-nature-ref-verifier?ref=x Install: npx skills add Yuan1z0825/nature-skills --skill nature-ref-verifier
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