fin-brief-generator SKILL.md skillA
fin-brief-generator 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-brief-generator@v1.0.0Pins v1.0.0 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-brief-generator/SKILL.md- Versions recorded
- 1
- Latest version
- v1.0.0, committed Jul 12, 2026
- Size
- 9,551 bytes
- Repository stars
- 108
- License
- MIT
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FIN_BRIEF.md，减少用户填写负担。.
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
# fin-brief-generator
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FIN_BRIEF.md，减少用户填写负担。
## 触发条件
- 关键词: `生成简报` `FIN_BRIEF` `brief` `研究简报` `简报` `研究概要`
- Skill语法: `Skill: fin-brief-generator`
- 前置条件: 可选 — 已有研究输出文件
## 三种工作模式
### 模式一：推理模式 (Inference Mode)
当项目中已有研究输出文件时，从现有文件中自动推断字段值。
**输入文件优先级**:
```
1. output/fin-literature/LIT_REVIEW.md → 提取研究领域、方法、文献缺口
2. output/fin-ideas/IDEA_REPORT.md → 提取候选想法、评分
3. output/fin-novelty/NOVELTY_REPORT.md → 提取定位策略
4. output/fin-refinement/REFINED_DESIGN.md → 提取研究设计细节
```
**执行流程**:
```python
from scripts.brief_generator import BriefGenerator, InferenceMode
generator = BriefGenerator(project_root=".")
# 推理模式：从现有文件推断
brief = generator.generate_from_outputs(mode=InferenceMode)
# 仅向用户展示未知字段
unknown_fields = brief.get_unknown_fields()
print(f"需要您补充 {len(unknown_fields)} 个字段:")
for field in unknown_fields:
print(f" - {field}")
```
**示例**:
```
已推断字段: 12/17
- 研究主题: 碳排放权交易对企业绿色创新的影响 ✅
- 因果推断方法: 双重差分法 (DID) ✅
- 目标期刊: 经济研究 ✅
需补充字段: 5/17
- 主要作者: ?
- 协作者: ?
- 资助机构: ?
- 文献综述截止日期: ?
- 初稿截止日期: ?
```
### 模式二：问卷模式 (Questionnaire Mode)
当有部分信息时，通过结构化问卷收集缺失信息。
**问卷流程**:
```python
from scripts.brief_generator import QuestionnaireMode
…Read the whole file at its exact version.
How to install
mdr add csmar432/finai-research/fin-brief-generator@sha256:7eb865ca900e07d5The line at the top of this page pins the label v1.0.0, 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_axsuzpv4n5fbiagv)
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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 (9551 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_axsuzpv4n5fbiagv GET https://markdownregistry.com/api/v1/resolve?ref=csmar432/finai-research/fin-brief-generator GET https://markdownregistry.com/api/v1/blob/7eb865ca900e07d514332dbef96cde1f33bf3c671610be4cf347613b1936269f
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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