fin-idea-discovery 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-idea-discovery 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-idea-discovery@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-idea-discovery/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260616.8eba436, committed Jun 16, 2026
- Size
- 18,128 bytes
- Repository stars
- 108
- License
- MIT
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。.
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
# 经济金融研究想法发现流程
从研究方向 `$ARGUMENTS` 开始，经过系统化流程，输出经过数据验证的可执行研究方案。
## 流程概览
```
研究方向输入
↓
阶段1: 研究方向理解 — 解析研究领域（绿色金融/数字金融/ESG/碳经济学/宏观金融/公司金融）
↓
阶段2: 文献综述 — 使用 MCP 工具搜索 OpenAlex/ArXiv/NBER/中文顶刊
↓
阶段3: 研究缺口识别 — 从文献中识别 3-5 个具体研究缺口
↓
阶段4: 想法生成 — 从缺口生成 8-12 个研究想法
↓
阶段5: 新颖性预检查 — 对每个想法快速检索 arXiv/NBER
↓
阶段6: 【强制】想法-数据交叉验证 — 使用 idea_data_checker.py 验证每个想法的数据可行性
↓ checkpoint（必须暂停，展示数据可行性表格给用户）
↓
阶段7: 排序输出 — 按新颖性(40%) + 数据可行性(30%) + 发表潜力(30%) 排序
↓
输出: IDEA_REPORT.md + IDEA_DATA_CHECK.md
```
## 核心原则
### 数据优先原则（必须遵守）
**数据验证必须前移到想法阶段，不等到数据获取阶段才发现无数据**
```
传统流程（有问题）:
想法生成 → 新颖性验证 → 实证设计 → 数据获取 ← 到这里才发现无数据！
↓ ↓
浪费大量时间 不得不返回更换主题
改进流程（当前）:
想法生成 → 【想法-数据交叉验证】→ 新颖性验证 → 实证设计 → 数据获取
↓ ↓
在此处检查数据可行性 数据已知可行，只需执行
无数据→立即告知用户 预先设计的获取方案
```
### 强制 checkpoint
阶段6（数据验证）完成后，**必须暂停**并展示数据可行性表格给用户，在用户确认前不得进入下一阶段。
## 输出文件
```
output/fin-ideas/
├── IDEA_REPORT.md ← 完整想法报告（包含所有想法的详细信息）
├── IDEA_DATA_CHECK.md ← 数据可行性报告（阶段6输出）
└── IDEA_CANDIDATES.md ← 精简版（TOP 3-5 最优想法）
output/fin-novelty/
…Read the whole file at its exact version.
How to install
mdr add csmar432/finai-research/fin-idea-discovery@sha256:0f0752a85ffe2ee9The 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_pnzmmpyz6yp4kmp5)
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 (18128 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_pnzmmpyz6yp4kmp5 GET https://markdownregistry.com/api/v1/resolve?ref=csmar432/finai-research/fin-idea-discovery GET https://markdownregistry.com/api/v1/blob/0f0752a85ffe2ee99adbc104a4adf8a40a999e2992b67a39379204b858373fcb
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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