Paper Search
openags/paper-search-mcp
Search, download, and read academic papers from 20+ sources (arXiv, PubMed, Semantic Scholar, CrossRef, etc).
验证经济金融研究想法的新颖性。在JF、JFE、RFS、JME等顶刊及arXiv中搜索近三年文献,输出结构化新颖性报告和定位策略。
$ npx skills add csmar432/finai-research --skill fin-novelty-check -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install csmar432/finai-research fin-novelty-check --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/csmar432/finai-research.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/fin-novelty-check .claude/skills/fin-novelty-check && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "fin-novelty-check" agent skill from https://github.com/csmar432/finai-research/tree/main/.agents/skills/fin-novelty-check into .claude/skills/fin-novelty-check/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fin-novelty-check", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/csmar432/finai-research/tree/main/.agents/skills/fin-novelty-checkType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add csmar432/finai-research --skill fin-novelty-check -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install csmar432/finai-research fin-novelty-check --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/csmar432/finai-research.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/fin-novelty-check .agents/skills/fin-novelty-check && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "fin-novelty-check" agent skill from https://github.com/csmar432/finai-research/tree/main/.agents/skills/fin-novelty-check into .agents/skills/fin-novelty-check/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fin-novelty-check", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add csmar432/finai-research --skill fin-novelty-check -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install csmar432/finai-research fin-novelty-check --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/csmar432/finai-research.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/fin-novelty-check .cursor/skills/fin-novelty-check && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "fin-novelty-check" agent skill from https://github.com/csmar432/finai-research/tree/main/.agents/skills/fin-novelty-check into .cursor/skills/fin-novelty-check/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fin-novelty-check", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/csmar432/finai-research.git --path .agents/skills/fin-novelty-check--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add csmar432/finai-research --skill fin-novelty-check -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install csmar432/finai-research fin-novelty-check --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/csmar432/finai-research.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/fin-novelty-check .gemini/skills/fin-novelty-check && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "fin-novelty-check" agent skill from https://github.com/csmar432/finai-research/tree/main/.agents/skills/fin-novelty-check into .gemini/skills/fin-novelty-check/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fin-novelty-check", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install csmar432/finai-research fin-novelty-checkInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add csmar432/finai-research --skill fin-novelty-check -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/csmar432/finai-research.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/fin-novelty-check .github/skills/fin-novelty-check && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "fin-novelty-check" agent skill from https://github.com/csmar432/finai-research/tree/main/.agents/skills/fin-novelty-check into .github/skills/fin-novelty-check/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fin-novelty-check", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add csmar432/finai-research --skill fin-novelty-check -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install csmar432/finai-research fin-novelty-check --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/csmar432/finai-research.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/fin-novelty-check .opencode/skills/fin-novelty-check && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "fin-novelty-check" agent skill from https://github.com/csmar432/finai-research/tree/main/.agents/skills/fin-novelty-check into .opencode/skills/fin-novelty-check/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fin-novelty-check", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
fin-novelty-check验证经济金融研究想法的新颖性。在JF、JFE、RFS、JME等顶刊及arXiv中搜索近三年文献,输出结构化新颖性报告和定位策略。
Fin Novelty Check is an agent skill from csmar432/finai-research. 验证经济金融研究想法的新颖性。在JF、JFE、RFS、JME等顶刊及arXiv中搜索近三年文献,输出结构化新颖性报告和定位策略。
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Research & Science, covering Academic paper search and Econometrics and empirical research. It works with arXiv and Model Context Protocol. The repository describes itself as: Evidence-first AI workflow for economic and financial research: literature → identification → data → econometrics → verifiable LaTeX. 43 data sources, 58 method modules, 18 AI… The licence is MIT.
7 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 47eebb7. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are python and markdown).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Fin Novelty Check loads about 1.4k tokens when it runs. Until then it costs about 21 tokens; SKILL.md has 234 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from csmar432/finai-research at commit 47eebb7, republished under its MIT licence (© csmar432). 234 words, ~1,447 tokens.
.claude/skills/fin-novelty-check/SKILL.md (or your agent's skills folder).在顶刊数据库中系统性检索,评估研究想法的原创性,输出定位策略。
将研究想法拆解为 3-5 个可检验的核心主张(Claims):
原始想法: "数字金融对中小企业创新的影响"
核心主张:
1. 数字金融能显著提升中小企业创新投入
2. 融资约束是主要作用机制
3. 东部地区效果强于西部地区
4. 对民营企业效果强于国有企业每个 Claim 需包含:
对每个 Claim 分别检索,使用以下模板:
server: user-brave-search
tool: brave_web_search
params: {
"query": "site:jf.com digital finance SME innovation empirical"
}
# 替换: site:jfe.oxfordjournals.org, site:rfs.orgserver: user-arxiv
tool: semantic_search
params: {
"query": "digital finance AND (SME OR \"small business\") AND (innovation OR R&D) AND (2023 OR 2024 OR 2025)"
}server: user-nber-wp
tool: get_nber_papers
params: {
"category": "corporate finance OR financial economics",
"year_from": 2023
}server: user-brave-search
tool: brave_web_search
params: {
"query": "site:er.cngp.org.cn OR site:jr.cass.org.cn 数字金融 中小企业 创新 实证"
}
# 经济研究: site:er.cngp.org.cn
# 金融研究: site:jr.cass.org.cn
# 管理世界: site:管理与世界.ajcass.comserver: user-openalex
tool: get_openalex_works
params: {
"query": "digital finance innovation SMEs empirical",
"per_page": 30
}对每个 Claim 逐一评估:
| 维度 | 评估问题 | 评分 (1-10) |
|---|---|---|
| 相似度 (S) | 已有多少研究做了一样的 X→Y? | 1=完全相同, 10=从未做过 |
| 方法差异 (M) | 你的方法与已有研究有何不同? | 1=方法相同, 10=全新方法 |
| 样本独特性 (U) | 数据/样本是否独特? | 1=常用数据, 10=独有数据 |
| 机制新颖性 (N) | 机制解释是否新颖? | 1=常见机制, 10=全新机制 |
评估标准详解:
相似度 (S):
方法差异 (M):
样本独特性 (U):
机制新颖性 (N):
计算每个 Claim 的加权得分:
Claim_Score = 0.3*S + 0.25*M + 0.25*U + 0.2*N整体评分:
评级:
找出与本研究最相似的 3 篇论文:
选择标准:
1. X→Y 组合相同或高度相似
2. 发表在同级及以上期刊
3. 时间在近5年内
对每篇论文说明:
- 为什么相似(Claim 重叠度)
- 本研究的差异化点
- 如何在 Introduction 中委婉处理如果评分为 MEDIUM 或 LOW,提供调整建议:
| 问题类型 | 调整策略 |
|---|---|
| 相似度过高 | 聚焦细分样本(特定行业/地区/规模) |
| 方法无差异 | 引入新方法或数据来源 |
| 样本无独特性 | 使用独有数据或组合多个数据库 |
| 机制常见 | 挖掘新机制或异质性分析 |
定位策略模板:
本研究与 [竞争论文] 的区别:
1. [维度1]: [本研究做法] vs [竞争论文做法]
2. [维度2]: ...
3. [维度3]: ...
Contribution 重申:
- 本研究首次在 [样本/情境] 下检验 [X→Y]
- 采用 [新方法/改进方法] 解决了 [问题]
- 发现 [新机制/异质性模式]# 新颖性报告: [研究想法标题]
> 评估日期: [日期]
> 评估者: fin-novelty-check
## 整体评级: HIGH / MEDIUM / LOW
## 综合评分: X/10
---
## 研究想法摘要
**核心主张**:
1. [主张1]
2. [主张2]
3. [主张3]
**预期贡献**:
- 理论贡献: [1-2句话]
- 实证贡献: [1-2句话]
- 政策贡献: [1-2句话]
---
## 主张分析
| 主张 | 相似度(S) | 方法(M) | 样本(U) | 机制(N) | 单项得分 | 权重分 |
|------|-----------|---------|---------|---------|----------|--------|
| 1. X→Y | 7 | 8 | 6 | 5 | 6.55 | 0.30 |
| 2. M中介 | 6 | 7 | 8 | 7 | 6.95 | 0.25 |
| 3. 异质性 | 8 | 6 | 7 | 8 | 7.30 | 0.25 |
| 4. [样本] | 9 | 8 | 7 | 8 | 8.15 | 0.20 |
**加权综合得分**: 7.19/10
---
## 顶刊检索结果
### JF/JFE/RFS
- [竞争论文1] — [期刊] [年份] — [相似点] / [差异点]
- [竞争论文2] — ...
### arXiv / NBER
- [预印本1] — [年份] — [相似点] / [差异点]
### 中文顶刊
- [文献1] — [期刊] [年份] — [相似点] / [差异点]
---
## Top 3 竞争论文
### 1. [Citation]
**期刊**: [期刊名] | **年份**: [年份]
**相似点**: [为什么与本研究重叠]
**差异点**: [本研究的独特之处]
**在 Introduction 中的处理**: [如何委婉地承认相关研究同时指出差异]
### 2. [Citation]
...
### 3. [Citation]
...
---
## 审稿人风险评估
| 风险 | 审稿人可能质疑 | 缓解策略 |
|------|---------------|----------|
| R1 | "这个选题太老了" | 强调样本/方法/情境的独特性 |
| R2 | "方法没有新意" | 展示方法改进或新方法应用 |
| R3 | "数据不够独特" | 说明数据来源的不可替代性 |
---
## 定位策略
[仅当 MEDIUM/LOW 时填写]
### 当前问题
- 相似度较高维度: [维度]
- 需要改进方向: [方向]
### 建议调整
1. **样本聚焦**: [具体建议]
2. **方法改进**: [具体建议]
3. **机制挖掘**: [具体建议]
### 差异化定位本研究的核心差异化:
---
## 建议期刊
根据研究主题和评分建议目标期刊:
- [期刊1] — [理由]
- [期刊2] — [理由]
---
## 下一步
- [ ] 如果 HIGH:可直接进入 `fin-experiment-design`
- [ ] 如果 MEDIUM:按调整建议修改想法后重新评估
- [ ] 如果 LOW:建议重新生成想法或更换研究方向Checkpoint:向用户展示报告,询问是否继续:
## 新颖性评估完成
**评级**: HIGH (7.8/10)
**核心风险**: 相似度中等,需加强方法差异
**是否继续**?
[1] 继续 — 进入实验设计 (`fin-experiment-design`)
[2] 调整 — 按建议调整想法后重新评估
[3] 更换 — 重新生成研究想法| 数据源 | 工具 | 查询模板 |
|---|---|---|
| JF | brave_web_search | site:jf.com [keywords] |
| JFE | brave_web_search | site:jfe.oxfordjournals.org [keywords] |
| arXiv | semantic_search | [topic] AND [method] AND (2023 OR 2024 OR 2025) |
| NBER | get_nber_papers | category, year_from=2023 |
| OpenAlex | get_openalex_works | query, per_page=30 |
| 论文全文 | get_context7_by_query | query, max_results |
fin-generate-idea → 输出候选想法供验证fin-lit-review → 文献综述为新颖性判断提供依据fin-experiment-design → 新颖性验证通过后进入设计fin-paper-writing → 在 Introduction 中引用竞争论文© csmar432, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .agents/skills/fin-novelty-check of csmar432/finai-research.
Open the folder on GitHubat commit 47eebb7
Fin Novelty Check next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Fin Novelty Check this skillcsmar432/finai-research | 109 | — | ~1.4k | Automated safety check: Pass | MIT | |
| Paper Searchopenags/paper-search-mcp | 2.8k | — | ~1.2k | Automated safety check: Notes | MIT | |
| Arxiv MCP Serverblazickjp/arxiv-mcp-server | 3.2k | — | ~353 | Automated safety check: Pass | Apache-2.0 | |
| Nature Academic Searchwp-a/nature-academic-search | 304 | — | ~1.4k | Automated safety check: Pass | MIT | |
| Paper Searchopenags/paper-search-mcp | 2.8k | — | ~794 | Automated safety check: Notes | MIT | |
| Rival Search MCPdamionrashford/RivalSearchMCP | 132 | — | ~796 | Automated safety check: Pass | MIT |
openags/paper-search-mcp
Search, download, and read academic papers from 20+ sources (arXiv, PubMed, Semantic Scholar, CrossRef, etc).
blazickjp/arxiv-mcp-server
A skill your agent uses when finding, comparing, reading, or monitoring arXiv papers, including requests for abstracts, citation graphs, original LaTeX, section-level technical details, or…
wp-a/nature-academic-search
A skill your agent uses when users ask to 找文献、做文献检索、查论文、查临床试验、核验引用、去重文献、设计 PubMed/MeSH 检索式、追踪上下游引文、解析 DOI/PMID/PMCID/arXiv/OpenAlex/Semantic Scholar/NCT ID, 或导出 RIS、BibTeX、NBIB、ENW;also use for…
openags/paper-search-mcp
Search, download, and read academic papers through the paper-search MCP tools (mcppaper-search), covering arXiv, PubMed, bioRxiv, Semantic Scholar, Crossref, OpenAlex and 15+ other sources.
damionrashford/RivalSearchMCP
Deterministic deep research via RivalSearchMCP. An agent skill from damionrashford/RivalSearchMCP.
Yuan1z0825/nature-skills
Finds papers across literature sources, verifies and converts citations, builds MeSH strategies and audits independent citations of a paper.
csmar432/finai-research
生成研究/项目架构图、流程图、层次图(swimlane / processflow / hierarchytree)。适合 PPT 汇报、技术文档、综述插图。输出风格接近 draw.io,可选 graphviz(高质量)/ matplotlib(零依赖)双后端。
csmar432/finai-research
根据用户输入或已有研究输出(文献综述/想法报告/新颖性报告),自动生成或更新FINBRIEF.md,减少用户填写负担. An agent skill from csmar432/finai-research.
csmar432/finai-research
根据REFINEDDESIGN.md中的变量定义,自动获取所需数据并生成可执行的回归分析脚本(Python/Stata)。
csmar432/finai-research
经济金融实证方法设计。根据研究想法和REFINEDDESIGN.md,生成完整的实证研究设计方案,覆盖识别策略选择、样本构建、变量定义、稳健性检验清单和内生性处理方案。
csmar432/finai-research
针对经济金融研究方向的创意生成与评估。生成8-12个可发表的研究idea,过滤后在数据可行的情况下进行小规模实证验证,输出排序后的研究想法报告。
csmar432/finai-research
经济金融研究的完整想法发现流程。从研究方向出发,经过文献综述、想法生成、新颖性验证、实证方法设计和数据获取,输出经过数据实证验证的可执行研究方案。
Works with
Categories
验证经济金融研究想法的新颖性。在JF、JFE、RFS、JME等顶刊及arXiv中搜索近三年文献,输出结构化新颖性报告和定位策略。. Fin Novelty Check is an agent skill from csmar432/finai-research.
Fin Novelty Check fits situations like: tasks that involve Academic paper search; tasks that involve Econometrics and empirical research.
Run `npx skills add csmar432/finai-research --skill fin-novelty-check -a claude-code`. Or copy the skill folder (.agents/skills/fin-novelty-check in csmar432/finai-research) into .claude/skills/fin-novelty-check in your project. Claude Code loads it when a task matches its description.
Run `npx skills add csmar432/finai-research --skill fin-novelty-check -a codex`. Or copy the skill folder (.agents/skills/fin-novelty-check in csmar432/finai-research) into .agents/skills/fin-novelty-check in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add csmar432/finai-research --skill fin-novelty-check -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/fin-novelty-check, .gemini/skills/fin-novelty-check, .github/skills/fin-novelty-check and .opencode/skills/fin-novelty-check in your project.
SKILL.md names no scripts, command-line tools or credentials: Fin Novelty Check is instructions for the agent only. Our summary lists: Python 3.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Fin Novelty Check is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.4k tokens (SKILL.md is roughly 5.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Fin Novelty Check: Paper Search (openags/paper-search-mcp, 2.8k stars), Arxiv MCP Server (blazickjp/arxiv-mcp-server, 3.2k stars), Nature Academic Search (wp-a/nature-academic-search, 304 stars) and Paper Search (openags/paper-search-mcp, 2.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
csmar432 (a GitHub user) maintains it in csmar432/finai-research, which has 109 GitHub stars. The repository holds 15 skills in this directory. The repository was last updated on October 6, 2026.
Source: csmar432/finai-research on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.