fin-brief-generator

fin-brief-generator is a skill for Claude Code, Codex from csmar432/finai-research. It costs 42 tokens per session (2,769 once invoked), scanned A, original, MIT.

A tool for creating or updating FIN_BRIEF.md, a structured research brief for a financial or economics study. It can use existing research files or ask for missing information.

In plain words
What is it for?
Use it to prepare a research summary containing the study topic, methods, literature gaps, candidate ideas, positioning, and other project details.
Why use it?
It reduces the amount of information researchers must enter by finding details already present in literature reviews, idea reports, novelty reports, or research designs.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

Good fit Use it to prepare a research summary containing the study topic, methods, literature gaps, candidate ideas, positioning, and other project details.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/csmar432/finai-research/fin-brief-generator
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add csmar432/finai-research --skill fin-brief-generator
Clone the repo
git clone --depth 1 https://github.com/csmar432/finai-research

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for fin-brief-generator

README.md
[![agentmods](https://agentmods.dev/badge/skills/csmar432/finai-research/fin-brief-generator/github.svg)](https://agentmods.dev/skills/csmar432/finai-research/fin-brief-generator)
Your own site
<a href="https://agentmods.dev/skills/csmar432/finai-research/fin-brief-generator"><img src="https://agentmods.dev/badge/skills/csmar432/finai-research/fin-brief-generator/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for fin-brief-generator

Your own site · 80×15
<a href="https://agentmods.dev/skills/csmar432/finai-research/fin-brief-generator"><img src="https://agentmods.dev/badge/skills/csmar432/finai-research/fin-brief-generator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,769 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00042 $0.02769
Opus 5 $0.00021 $0.01385
Sonnet 5 $0.00008 $0.00554
Haiku 4.5 $0.00004 $0.00277

Measured 12d ago against content hash 7eb865ca900e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

fin-brief-generator scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.agents/skills/fin-brief-generator/SKILL.md · 366 lines

How it starts

The opening of the file, as written. The whole thing — 366 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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:

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:

from scripts.brief_generator import QuestionnaireMode

generator = BriefGenerator(project_root=".")

# 运行问卷
answers = generator.run_questionnaire(
    questions=[
        {
            "id": "topic",
            "question": "研究主题是什么?请用一句话描述",
            "type": "text",
            "required": True,
        },
        {
            "id": "journal",
            "question": "目标期刊是哪个?",
            "type": "choice",
            "options": ["JF", "JFE", "RFS", "经济研究", "金融研究", "管理世界", "其他"],
            "required": True,
        },
        {
            "id": "data_source",
            "question": "主要数据来源是什么?",
            "type": "choice",
            "options": ["Tushare/A股", "CSMAR", "Wind", "Yfinance/美股", "手动收集", "其他"],
            "required": True,
        },
        {
            "id": "method",
            "question": "有偏好的研究方法吗?",
            "type": "choice",
            "options": ["DID", "IV/2SLS", "RDD", "合成控制", "PSM", "面板GMM", "无偏好"],
            "required": False,
        },
    ],
    interactive=True,  # 对话式问卷
)

Read the full file on GitHub · 366 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 366 lines · 42 tokens per session scan A 7eb865ca900e

Subscribe to this mod's changes

fin-brief-generator is a skill published in the GitHub repository csmar432/finai-research (100 stars, last pushed 3d ago), licensed MIT. It adds 42 tokens to every session and 2,769 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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