Paper Search
openags/paper-search-mcp
Search, download, and read academic papers from 20+ sources (arXiv, PubMed, Semantic Scholar, CrossRef, etc).
经济金融领域的系统性文献综述。整合 Semantic Scholar + ArXiv + OpenAlex + NBER 构建引文网络，识别研究缺口，生成结构化文献地图。
Install Fin Lit Review
$ npx skills add csmar432/finai-research --skill fin-lit-review -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install csmar432/finai-research fin-lit-review --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-lit-review .claude/skills/fin-lit-review && 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-lit-review" agent skill from https://github.com/csmar432/finai-research/tree/main/.agents/skills/fin-lit-review into .claude/skills/fin-lit-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fin-lit-review", 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-lit-reviewType 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-lit-review -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install csmar432/finai-research fin-lit-review --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-lit-review .agents/skills/fin-lit-review && 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-lit-review" agent skill from https://github.com/csmar432/finai-research/tree/main/.agents/skills/fin-lit-review into .agents/skills/fin-lit-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fin-lit-review", 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-lit-review -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install csmar432/finai-research fin-lit-review --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-lit-review .cursor/skills/fin-lit-review && 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-lit-review" agent skill from https://github.com/csmar432/finai-research/tree/main/.agents/skills/fin-lit-review into .cursor/skills/fin-lit-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fin-lit-review", 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-lit-review--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-lit-review -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install csmar432/finai-research fin-lit-review --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-lit-review .gemini/skills/fin-lit-review && 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-lit-review" agent skill from https://github.com/csmar432/finai-research/tree/main/.agents/skills/fin-lit-review into .gemini/skills/fin-lit-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fin-lit-review", 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-lit-reviewInstalls 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-lit-review -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-lit-review .github/skills/fin-lit-review && 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-lit-review" agent skill from https://github.com/csmar432/finai-research/tree/main/.agents/skills/fin-lit-review into .github/skills/fin-lit-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fin-lit-review", 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-lit-review -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-lit-review --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-lit-review .opencode/skills/fin-lit-review && 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-lit-review" agent skill from https://github.com/csmar432/finai-research/tree/main/.agents/skills/fin-lit-review into .opencode/skills/fin-lit-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fin-lit-review", 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.
Facts
- Skill name
fin-lit-review- GitHub stars
- 109
- Token cost
- ~1.2k tokens
- SKILL.md length
- 175 words
- Files
- 1
- Skills in repo
- 15
- Repo updated
- First seen
- Licence
- MIT
At a glance
经济金融领域的系统性文献综述。整合 Semantic Scholar + ArXiv + OpenAlex + NBER 构建引文网络，识别研究缺口，生成结构化文献地图。
- Works in 7 steps: PICO 解析 → 多源并行检索 → PRISMA 筛选 → …
- Tasks that involve Academic paper search
- SKILL.md covers 核心功能, 工作流程, MCP 工具快速参考 and 与其他技能的关系, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Fin Lit Review is an agent skill from csmar432/finai-research. 经济金融领域的系统性文献综述。整合 Semantic Scholar + ArXiv + OpenAlex + NBER 构建引文网络，识别研究缺口，生成结构化文献地图。
Its SKILL.md is about 1.2k 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. It works with arXiv, Semantic Scholar, Model Context Protocol and Prisma. 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.
When your agent uses it
- Tasks that involve Academic paper search
Example prompts
- “/fin-lit-review”
Requirements
- Python 3
Workflow steps
7 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 47eebb7. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are python, markdown and json).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Fin Lit Review loads about 1.2k tokens when it runs. Until then it costs about 25 tokens; SKILL.md has 175 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.
Safety
Auto-check passed
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.
SKILL.md
The full file from csmar432/finai-research at commit 47eebb7, republished under its MIT licence (© csmar432). 175 words, ~1,214 tokens.
Download SKILL.mdSave it as
.claude/skills/fin-lit-review/SKILL.md (or your agent's skills folder).- name
- fin-lit-review
- description
- 经济金融领域的系统性文献综述。整合 Semantic Scholar + ArXiv + OpenAlex + NBER 构建引文网络，识别研究缺口，生成结构化文献地图。
- argument-hint
- 研究主题或PICO关键词
经济金融系统性文献综述
整合多源学术数据库，构建引文网络，识别研究缺口。
核心功能
- 多源并行检索：OpenAlex / ArXiv / NBER / 百度学术
- PRISMA 筛选流程：Inclusion/Exclusion 标准透明
- 引文网络构建：NetworkX 有向图，可视化知识结构
- 研究缺口识别：LLM 分析 + 人工标注
- 结构化输出：LIT_REVIEW.md / LIT_SUMMARY.md / CITATION_GRAPH.json
工作流程
Step 1: PICO 解析
将研究问题拆解为 PICO 四要素：
P (Population): 研究对象 — 企业/投资者/银行/政府
I (Intervention): 处理变量 — 政策/工具/事件
C (Comparator): 对照组 — 处理前/未受政策影响
O (Outcome): 结果变量 — 创新/绩效/风险/效率示例输入："碳排放权交易对企业绿色创新的影响"
→ PICO: P=制造业企业, I=碳排放权交易试点, C=非试点企业, O=绿色专利/研发投入
Step 2: 多源并行检索
使用以下 MCP 工具并行搜索：
OpenAlex（优先，推荐 50 篇）
server: user-openalex
tool: get_openalex_works
params: {
"query": "carbon trading OR carbon emission trading green innovation",
"per_page": 50,
"sort": "citation_count"
}ArXiv（预印本，最新方法）
server: user-arxiv
tool: semantic_search
params: {
"query": "carbon trading innovation policy effect DID",
"max_results": 30
}NBER（工作论文，高质量）
server: user-nber-wp
tool: get_nber_papers
params: {
"category": "corporate finance OR environmental economics",
"year_from": 2021
}中文文献（百度学术 + CNKI）
server: user-brave-search
tool: brave_web_search
params: {
"query": "碳排放权交易 绿色创新 DID 双重差分 经济研究"
}研报补充（东方财富）
server: user-eastmoney-reports
tool: get_stock_news
params: {
"ts_code": "000001.SZ",
"limit": 20
}
# 用于补充行业背景，不作为核心文献Step 3: PRISMA 筛选
对检索到的所有文献应用筛选标准：
Inclusion Criteria:
✓ 实证研究（排除纯理论/综述）
✓ 经济金融领域（或跨学科应用）
✓ 英文/中文全文可获取
✓ 2000年后发表
Exclusion Criteria:
✗ 纯工程/技术类研究（非金融视角）
✗ 无DOI/无法溯源
✗ 样本量<100 或 方法严重缺陷
✗ 与研究问题无关Checkpoint：筛选完成后，向用户展示筛选数量统计：
## PRISMA 筛选结果
- 检索总数: [N]
- 去重后: [N]
- 标题/摘要筛选排除: [N]
- 全文筛选排除: [N]
- 最终纳入: [N]
是否继续生成文献综述？
[1] 继续
[2] 调整筛选标准
[3] 补充更多文献Step 4: 引文网络构建
使用 scripts/citation_graph.py 构建知识图谱：
from scripts.citation_graph import CitationGraphBuilder
builder = CitationGraphBuilder()
graph = builder.build(papers) # papers: list of dict with title/doi/cite_count
# 提取高影响力文献
influential = builder.get_influential_papers(top_n=20)
# 提取引文聚类（研究主题簇）
clusters = builder.get_citation_clusters()
# 导出 JSON
graph_json = builder.to_json()输出结构：
{
"nodes": [
{"id": "doi", "title": "...", "year": 2023, "journal": "JFE", "cite_count": 150}
],
"edges": [
{"source": "doi1", "target": "doi2", "weight": 5}
],
"clusters": [
{"cluster_id": 1, "theme": "碳交易政策评估", "papers": ["doi1", "doi2"]}
]
}Step 5: 质量评级
对纳入文献按期刊层级评级：
| 等级 | 期刊示例 | 权重 |
|---|---|---|
| Top 5 | JF / JPE / Econometrica | 5 |
| Top 10 | JFE / RFS / JME / 金融研究 | 4 |
| Top 30 | JAE / JDE / 经济研究 / 管理世界 | 3 |
| 普通 | 其他SSCI/CSSCI | 2 |
| Working Paper | NBER / arXiv | 1 |
Step 6: 研究缺口识别
使用 LLM 分析引文网络，识别：
- 理论缺口：现有理论无法解释的现象
- 方法缺口：现有方法的局限性
- 样本缺口：研究样本的局限（地区/行业/时间）
- 机制缺口：中介/调节机制未被充分探讨
- 情境缺口：特定情境（新兴市场、数字经济等）研究不足
LLM 分析提示词：
你是一个经济金融领域专家。基于以下文献列表和引文网络，
识别出3-5个最主要的研究缺口，并说明：
1. 每个缺口的现状（现有研究做了什么）
2. 为什么是缺口（未解决什么问题）
3. 对该研究方向的启示Step 7: 生成输出文件
output/fin-literature/LIT_REVIEW.md
# 系统性文献综述: [研究主题]
> 综述日期: [日期]
> 检索来源: OpenAlex + ArXiv + NBER + 百度学术
> 纳入文献: [N] 篇
## 1. 研究概述
[研究问题定义 + PICO]
## 2. 理论框架
[理论基础：X理论、Y理论...]
## 3. 主要实证文献
### 3.1 [主题分组1]
| 文献 | 期刊 | 方法 | 样本 | 核心发现 |
|------|------|------|------|----------|
| ... | ... | ... | ... | ... |
### 3.2 [主题分组2]
...
## 4. 研究方法趋势
[按方法分类的文献分布]
## 5. 引文网络分析
[高影响力文献 + 聚类结构]
## 6. 研究缺口
1. [缺口1]
2. [缺口2]
3. [缺口3]
## 7. 未来研究方向
[基于缺口的建议]
## 参考文献
[BibTeX 格式]output/fin-literature/LIT_SUMMARY.md
三页executive summary，供快速阅读：
# 文献综述摘要: [研究主题]
## 一句话结论
[研究领域现状的一句话概括]
## 核心发现（Top 5）
1. [发现1]
2. [发现2]
...
## 主要研究方法
[DID / IV / RDD / PSM 分布]
## 最大研究缺口
[最值得切入的研究空白]
## 对本研究的启示
[基于综述的3个具体建议]output/fin-literature/CITATION_GRAPH.json
引文网络完整数据（用于后续可视化）。
MCP 工具快速参考
| 数据源 | 工具 | 参数 |
|---|---|---|
| OpenAlex | get_openalex_works | query, per_page=50, sort=citation_count |
| ArXiv | semantic_search | query, max_results=30 |
| NBER | get_nber_papers | category, year_from |
| 中文检索 | brave_web_search | query |
| 论文全文 | get_context7_by_arxiv | arxiv_id |
| 中文文献 | search_chinese_papers | query, per_page |
| CSSCI | search_cssci_papers | query |
与其他技能的关系
- 上游：无（独立使用或配合用户描述）
- 下游：
fin-generate-idea→ 基于研究缺口生成想法fin-novelty-check→ 验证想法新颖性fin-paper-writing→ 基于综述撰写引言
注意事项
- 中文文献优先百度学术/知网：英文数据库对中文政策研究覆盖不足
- NBER 是高质量补充：工作论文往往代表最新方法
- 研报仅作背景补充：研报不作为学术文献纳入
- PRISMA 流程透明：Checkpoint 展示筛选数量，用户可调整
- 引文网络需要DOI：优先使用有DOI的文献构建网络
© csmar432, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in .agents/skills/fin-lit-review of csmar432/finai-research.
Open the folder on GitHubat commit 47eebb7
Compare with similar skills
Fin Lit Review 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 Lit Review this skillcsmar432/finai-research | 109 | — | ~1.2k | Automated safety check: Pass | MIT | |
| Paper Searchopenags/paper-search-mcp | 2.8k | — | ~1.2k | Automated safety check: Notes | MIT | |
| 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 | |
| Nature Academic Searchjing1312/nature-figure-skill | 171 | — | ~1.3k | Automated safety check: Notes | MIT | |
| Paper Searchdr-dumpling/paper-search-cli | 135 | — | ~1.1k | Automated safety check: Pass | MIT |
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Fin Experiment Design
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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。
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Fin Idea Discovery
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。
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Questions about Fin Lit Review
What does Fin Lit Review do?
经济金融领域的系统性文献综述。整合 Semantic Scholar + ArXiv + OpenAlex + NBER 构建引文网络，识别研究缺口，生成结构化文献地图。. Fin Lit Review is an agent skill from csmar432/finai-research.
When should I use Fin Lit Review?
Fin Lit Review fits situations like: tasks that involve Academic paper search.
How do I install Fin Lit Review in Claude Code?
Run `npx skills add csmar432/finai-research --skill fin-lit-review -a claude-code`. Or copy the skill folder (.agents/skills/fin-lit-review in csmar432/finai-research) into .claude/skills/fin-lit-review in your project. Claude Code loads it when a task matches its description.
How do I install Fin Lit Review in Codex?
Run `npx skills add csmar432/finai-research --skill fin-lit-review -a codex`. Or copy the skill folder (.agents/skills/fin-lit-review in csmar432/finai-research) into .agents/skills/fin-lit-review in your project. Codex loads it when a task matches its description.
Can I use Fin Lit Review in Cursor, Gemini CLI or GitHub Copilot?
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-lit-review -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-lit-review, .gemini/skills/fin-lit-review, .github/skills/fin-lit-review and .opencode/skills/fin-lit-review in your project.
What does Fin Lit Review need to run?
SKILL.md names no scripts, command-line tools or credentials: Fin Lit Review is instructions for the agent only. Our summary lists: Python 3.
Does Fin Lit Review access the network?
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.
Is Fin Lit Review safe to install?
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.
What licence does Fin Lit Review use?
Fin Lit Review is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Fin Lit Review use?
About 1.2k tokens (SKILL.md is roughly 4.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Fin Lit Review?
Skills that share tags, products or a category with Fin Lit Review: Paper Search (openags/paper-search-mcp, 2.8k stars), Nature Academic Search (wp-a/nature-academic-search, 304 stars), Paper Search (openags/paper-search-mcp, 2.8k stars) and Nature Academic Search (jing1312/nature-figure-skill, 171 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Fin Lit Review?
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.