fin-novelty-check SKILL.md skillA
This file is byte-identical to the first copy the registry indexed. Same content hash, so the same checks give both the same grade.
fin-novelty-check from csmar432/finai-research is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add csmar432/finai-research/fin-novelty-check@git:20260616.8eba436Pins git:20260616.8eba436 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- csmar432/finai-research
- Path
.cursor/skills/fin-novelty-check/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260616.8eba436, committed Jun 16, 2026
- Size
- 9,388 bytes
- Repository stars
- 108
- License
- MIT
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。.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# 研究想法新颖性验证
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。
## 核心功能
- **四维评估**:相似度 / 方法差异 / 样本独特性 / 机制新颖性
- **顶刊检索**:JF / JFE / RFS / JME / arXiv / NBER
- **中文顶刊**:经济研究 / 金融研究 / 管理世界
- **综合评分**:HIGH (≥8) / MEDIUM (6-8) / LOW (<6)
- **定位策略**:差异化路径 + 潜在风险规避
## 工作流程
### Step 1: 想法解析
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:
- **变量关系**:[X] → [Y]
- **假设方向**:[正向/负向/倒U型]
- **适用情境**:[样本范围]
### Step 2: 多源并行检索
对每个 Claim 分别检索,使用以下模板:
#### JF/JFE/RFS(英文顶刊)
```python
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.org
```
#### arXiv(近3年预印本)
```python
server: 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)"
}
```
#### NBER(工作论文)
```python
server: user-nber-wp
tool: get_nber_papers
params: {
"category": "corporate finance OR financial economics",
"year_from": 2023
}
```
#### 中文顶刊
```python
server: user-brave-search
tool: brave_web_search
params: {
…Read the whole file at its exact version.
How to install
mdr add csmar432/finai-research/fin-novelty-check@sha256:eabf480a58b3754aThe line at the top of this page pins the label git:20260616.8eba436, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_thx2njxqysgqogjw)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Jun 16, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (9388 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
csmar432/finai-research · 108 stars · license MIT · pushed 2026-11-03 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_thx2njxqysgqogjw GET https://markdownregistry.com/api/v1/resolve?ref=csmar432/finai-research/fin-novelty-check GET https://markdownregistry.com/api/v1/blob/eabf480a58b3754adcc07e3af9029078a9a1e1ff3630999ebe115cfe6f6431d9
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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