fin-generate-idea SKILL.md skillA
fin-generate-idea 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-generate-idea@git:20260712.ce45dd4Pins git:20260712.ce45dd4 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- csmar432/finai-research
- Path
.agents/skills/fin-generate-idea/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260712.ce45dd4, committed Jul 12, 2026
- Size
- 15,339 bytes
- Repository stars
- 108
- License
- MIT
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。.
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
# 经济金融研究想法生成器
针对研究方向 `$ARGUMENTS` 生成 8-12 个排序研究想法，经过数据可行性筛选后输出推荐名单。
## 流程概览
```
研究方向输入
↓
阶段1: 研究领域解析 + 约束提取
↓
阶段2: 文献提取 — 使用 MCP 获取高影响力论文
↓
阶段3: 缺口分析 — 识别领域内"未完成"的工作
↓
阶段4: 想法生成 — 基于文献生成 8-12 个想法
↓
阶段5: 【强制】数据可行性筛选 — 对每个想法运行数据源检查
↓
阶段6: 过滤标记 — 无数据路径的想法标记"需授权模拟"
↓
阶段7: 综合排序 — noverlty × 0.4 + data × 0.3 + publish × 0.3
↓
输出: IDEA_REPORT.md
```
## 触发条件
当用户明确要求生成具体研究想法时触发，例如：
- "有什么关于[领域]的研究想法"
- "生成[领域]的研究idea"
- "帮我找[领域]的研究方向"
- "我想研究[主题]，有什么新想法"
## 输出文件
```
output/fin-ideas/
├── IDEA_REPORT.md ← 完整想法报告（8-12个想法，含评分）
├── IDEA_DATA_CHECK.md ← 数据可行性检查结果
└── IDEA_CANDIDATES.md ← 精简版（TOP 3-5）
```
## 阶段详解
### 阶段1: 研究领域解析
#### 1.1 解析研究领域
识别研究方向所属的宏观领域：
| 领域 | 核心关键词 | 典型研究问题 |
|------|----------|-------------|
| 绿色金融 | ESG、碳排放、绿色债券、气候风险、绿色信贷 | 绿色政策效果、环境信息披露 |
| 数字金融 | Fintech、数字支付、互联网金融、API银行 | 数字普惠、金融科技赋能 |
| 碳经济学 | 碳交易、碳配额、碳关税、减排激励 | 碳市场效率、政策有效性 |
| 宏观金融 | 货币政策传导、金融周期、系统性风险 | 政策传导机制、金融稳定 |
| 公司金融 | 融资约束、资本结构、公司治理、并购 | 融资决策优化、公司价值 |
| 资产定价 | 因子模型、异常收益、机构投资者 | 定价因子、收益预测 |
| 行为金融 | 投资者情绪、散户行为、羊群效应 | 行为偏差、市场效率 |
| 金融科技 | 区块链、数字货币、开放银行 | 新技术应用、模式创新 |
#### 1.2 提取约束
从用户输入中提取约束条件：
```python
constraints = {
…Read the whole file at its exact version.
How to install
mdr add csmar432/finai-research/fin-generate-idea@sha256:ea3d5327c53003cdThe line at the top of this page pins the label git:20260712.ce45dd4, 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_drxvpjib43awas7x)
5 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Jul 12, 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 (15339 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_drxvpjib43awas7x GET https://markdownregistry.com/api/v1/resolve?ref=csmar432/finai-research/fin-generate-idea GET https://markdownregistry.com/api/v1/blob/ea3d5327c53003cd8b4a8ba733d5ee32440854029f81c915b07e0fd4addfeedd
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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