fin-paper-draft

fin-paper-draft is a skill for Claude Code from csmar432/finai-research. It costs 49 tokens per session (10,051 once invoked), scanned A, original, MIT.

A drafting workflow for writing the main sections of an economics or finance paper in English or Chinese LaTeX. It uses the paper outline, research design, variable definitions, robustness plan, literature review, data details, and related planning files.

In plain words
What is it for?
Use it to draft the introduction, literature review, methods, results, robustness checks, conclusion, or abstract, while incorporating planned variables, data, figures, tables, and supporting evidence.
Why use it?
It brings the paper’s research design, evidence, literature, and planned presentation into one drafting process. When an empirical package exists, it also checks whether key evidence is ready before presenting results as findings.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter. Also seen: installed under .agents/ (shared by several agents); built for cline.

Good fit Use it to draft the introduction, literature review, methods, results, robustness checks, conclusion, or abstract, while incorporating planned variables, data, figures, tables, and supporting evidence.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/csmar432/finai-research/fin-paper-draft
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-paper-draft
Clone the repo
git clone --depth 1 https://github.com/csmar432/finai-research

Made for: Claude Code.

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-paper-draft

README.md
[![agentmods](https://agentmods.dev/badge/skills/csmar432/finai-research/fin-paper-draft/github.svg)](https://agentmods.dev/skills/csmar432/finai-research/fin-paper-draft)
Your own site
<a href="https://agentmods.dev/skills/csmar432/finai-research/fin-paper-draft"><img src="https://agentmods.dev/badge/skills/csmar432/finai-research/fin-paper-draft/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-paper-draft

Your own site · 80×15
<a href="https://agentmods.dev/skills/csmar432/finai-research/fin-paper-draft"><img src="https://agentmods.dev/badge/skills/csmar432/finai-research/fin-paper-draft.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 10,051 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 $0.00049 $0.10051
Opus 5 $0.00024 $0.05025
Sonnet 5 $0.00010 $0.02010
Haiku 4.5 $0.00005 $0.01005

Measured 12d ago against content hash c104b484e9da, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

fin-paper-draft 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-paper-draft/SKILL.md · 989 lines

How it starts

The opening of the file, as written. The whole thing — 989 lines — stays where its author put it; the contents beside it link to each section on GitHub.

经济金融论文正文写作

根据论文大纲和研究设计,生成完整的论文正文草稿(LaTeX格式)。

触发条件

触发关键词写章节生成正文draft chapter写Introduction写Methodology写Conclusion

指定章节introductionliteraturemethodologyresultsrobustnessconclusionabstract

前置条件

读取以下文件(按优先级):

优先级 文件路径 说明
1 FIN_BRIEF.md 目标期刊、语言、字数目标
2 output/fin-manuscript/PAPER_OUTLINE.md 论文大纲
3 output/fin-refinement/REFINED_DESIGN.md 研究设计
4 output/fin-refinement/VARIABLE_DEFINITIONS.md 变量定义
5 output/fin-refinement/ROBUSTNESS_PLAN.md 稳健性检验方案
6 output/fin-manuscript/FIGURE_PLAN.md 图表计划
7 output/fin-manuscript/TABLE_PLAN.md 表格计划
8 output/fin-literature/LIT_REVIEW.md 文献综述
9 output/fin-novelty/NOVELTY_REPORT.md 新颖性报告
10 output/fin-experiments/DATA_MANIFEST.md 数据清单
11 output/fin-refinement/empirical_package.jsonoutput/empirical_package.json 实证包写稿门

政策 DID / 因果主张开写前必须过写稿门:

python -m scripts.core.empirical_package audit output/empirical_package.json --manuscript <草稿>

无包文件的纯写作轨可跳过。有包则四件同时(主栏显著、控制有职务、活机制表、图干净)才许把结果写成「研究发现」。正文禁止备忘录腔(不应解释为 / 升为主结果),参考文献表不写 DOI。

输出文件

output/fin-manuscript/draft_v{N}/
├── introduction.tex       # 引言
├── literature.tex          # 文献综述与假说
├── methodology.tex         # 数据与实证方法
├── results.tex             # 实证结果
├── robustness.tex          # 稳健性检验
├── conclusion.tex          # 结论
├── abstract.tex            # 摘要
└── references.bib           # 参考文献

论文规格确认

FIN_BRIEF.md 提取:

目标期刊: [JF/JFE/RFS/经济研究/金融研究/管理世界]
语言: [English/中文]
字数目标: [X词/字]
LaTeX模板: [aea/jfe/rfs/经济研究/...]

章节写作模板

Abstract / 摘要

英文摘要模板(JF/JFE风格,250 words)
\begin{abstract}
This paper examines whether [RESEARCH QUESTION] using [DATA SOURCE]
covering [SAMPLE PERIOD]. Our identification strategy exploits
[NATURAL EXPERIMENT / IDENTIFICATION STRATEGY], which allows us to
address [ENDOGENEITY CONCERN]. We find that [MAIN FINDING 1],
consistent with [THEORY/PREDICTION]. A one-standard-deviation
increase in [X] is associated with [Y] basis points
[increase/decrease] in [OUTCOME], representing [ECONOMIC MAGNITUDE].
Further analysis reveals that [MECHANISM]: the effect operates
primarily through [CHANNEL]. The result is stronger for [SUBGROUP]
and weaker for [SUBGROUP]. Our results are robust to [ROBUSTNESS
CHECKS] and continue to hold after controlling for [ALTERNATIVE
EXPLANATIONS]. The findings contribute to [LITERATURE STREAMS] and
have implications for [POLICY/INVESTORS/REGULATORS].

\textbf{JEL Classification:} [e.g., G01, G14, G32]
\textbf{Keywords:} [3--5 keywords]
\end{abstract}

Read the full file on GitHub · 989 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 · 989 lines · 49 tokens per session scan A c104b484e9da

Subscribe to this mod's changes

fin-paper-draft is a skill published in the GitHub repository csmar432/finai-research (100 stars, last pushed 3d ago), licensed MIT. It adds 49 tokens to every session and 10,051 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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