fin-submit-check

fin-submit-check is a skill for Claude Code, Codex from csmar432/finai-research. It costs 37 tokens per session (2,290 once invoked), scanned A, original, MIT.

A pre-submission checklist for an academic paper and its LaTeX files. It checks journal requirements such as anonymous authorship, length, spacing, margins, citations, figures, data availability, and other submission details.

In plain words
What is it for?
Use it before submitting to check formatting, remove identifying information, review references and tables, verify figure resolution, and confirm that required data or supporting files are available.
Why use it?
It catches formal and presentation problems that can delay or prevent a submission even when the research itself is complete. It also checks whether figures meet the required resolution and whether the manuscript is prepared for anonymous review.

Skill for Claude CodeCodex

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

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is python scripts/journal_template.py --validate-refs --journal JF.

Good fit Use it before submitting to check formatting, remove identifying information, review references and tables, verify figure resolution, and confirm that required data or supporting files are available.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/csmar432/finai-research
agentmods
npx agentmods add skills/csmar432/finai-research/fin-submit-check

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-submit-check

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/csmar432/finai-research/fin-submit-check"><img src="https://agentmods.dev/badge/skills/csmar432/finai-research/fin-submit-check.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 37 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,290 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 $0.00037 $0.02290
Opus 5 $0.00018 $0.01145
Sonnet 5 $0.00007 $0.00458
Haiku 4.5 $0.00004 $0.00229

Measured 12d ago against content hash d5a6f2e0dd7c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

fin-submit-check 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-submit-check/SKILL.md · 326 lines

How it starts

The opening of the file, as written. The whole thing — 326 lines — stays where its author put it; the contents beside it link to each section on GitHub.

fin-submit-check

根据目标期刊要求,对论文进行投稿前全面检查,涵盖格式、引用、图表、数据可用性等所有投稿必需项。

触发条件

  • 关键词: 投稿前检查 submit check 格式检查 合规检查 投稿检查 论文检查
  • Skill语法: Skill: fin-submit-check
  • 前置条件: 已有完整的论文草稿 (.tex 文件)

十大检查类别

1. 匿名性检查 (双盲审稿)

检查项:
□ 作者姓名未出现在正文、致谢、基金声明中
□ 无"感谢XX老师的指导"类致谢
□ 基金编号是否匿名化处理
□ 运行 latexmk 或 pdflatex 后检查 .log 中是否有 "[author name] removed"

检查命令:
grep -i "author" paper.tex
grep -i "感谢" paper.tex
grep "removed" paper.log || echo "No author info found"

2. 格式检查

检查项:
□ 字数/页数在限制内
□ 行距正确 (单倍/双倍)
□ 页边距符合要求
□ 字体要求满足 (如 JF 要求 Times New Roman 12pt)
□ 标题格式正确
□ 脚注格式正确

针对 JF/JFE:
- 主文本不超过 50 页 (含参考文献)
- 12pt Times New Roman
- 双倍行距
- 2.54cm 页边距

3. 图表分辨率检查

from PIL import Image
from pathlib import Path

def check_figure_resolution(figures_dir: str, min_dpi: int = 300) -> list:
    """检查所有图表分辨率"""
    issues = []
    for f in Path(figures_dir).glob("*.png"):
        img = Image.open(f)
        dpi = img.info.get("dpi", (72, 72))
        if min(dpi) < min_dpi:
            issues.append(f"LOW DPI: {f} = {dpi}")
        print(f"{f.name}: {dpi[0]:.0f} x {dpi[1]:.0f} DPI")
    return issues

# 执行
issues = check_figure_resolution("figures/", min_dpi=300)
检查项:
□ 所有图表 >= 300 DPI
□ 图表有清晰标题
□ 图表在正文中被引用
□ 图表编号连续
□ EPS/PDF 格式用于矢量图
□ PNG/JPEG 用于位图

4. 引用完整性检查

检查项:
□ 无 [?], [citation needed] 等占位符
□ 所有参考文献 .bib 条目都在正文中被引用
□ 所有引用的文献都在 .bib 中
□ DOI 链接有效
□ 无重复引用

检查命令:
grep -c "\[?\]" paper.tex  # 应为 0
grep -c "\\cite{" paper.tex

5. 参考文献格式检查

检查项:
□ JF/JFE 格式: Author (Year). Title. Journal Volume: Pages.
□ 经济研究/金融研究: GB/T 7714-2015
□ 作者姓名格式一致
□ 期刊名称缩写正确
□ 年份准确

验证命令:
python scripts/journal_template.py --validate-refs --journal JF

常见格式错误:
❌ Author, A. B. (Year). Title. Journal. -> 缺少卷期页
❌ Author, A. (ed.). Title. -> 作者格式不一致

6. 公式编号检查

检查项:
□ 所有公式都有编号
□ 编号连续无跳跃
□ 交叉引用有效 (\eqref{eq:xxx})
□ 重要公式有名称标注

检查命令:
grep "\\label{" paper.tex | grep -v "fig:" | grep -v "tab:" | wc -l
grep -E "\\ref\{eq:" paper.tex | sort -u

Read the full file on GitHub · 326 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 · 326 lines · 37 tokens per session scan A d5a6f2e0dd7c

Subscribe to this mod's changes

fin-submit-check is a skill published in the GitHub repository csmar432/finai-research (100 stars, last pushed 3d ago), licensed MIT. It adds 37 tokens to every session and 2,290 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.

Related

Other skills, from other repositories

econometrics-phd-level

A guide to econometrics, the use of statistics to study relationships in data, based on a 12-part Korean lecture series. It routes questions to explanations of topics such as regression, panel data, instrumental variables, and causal comparisons.

jayjeo/econometrics-phd-level-skill · 201 tokens

r-econometrics

Generates rigorous, modern, reproducible R code for causal inference and panel econometrics with fixest, heterogeneity-robust DiD estimators (Callaway-Sant'Anna, Sun-Abraham, BJS, de Chaisemartin-D'Haultfoeuille), weak-IV-robust inference, optimal-bandwidth RDD via rdrobust, and wild cluster bootstrap. Use when the…

JonasWeinert/EconAgentSkills · 138 tokens

audit-reproducibility

Enforce the replication-protocol.md rule by cross-checking numeric claims in a manuscript against the actual R / Stata / Python outputs. Report PASS/FAIL per claim against tolerance thresholds. Use before submission and before releasing a replication package.

pedrohcgs/claude-code-my-workflow · 54 tokens

review-paper

Comprehensive manuscript review with three modes: single-pass (default), --adversarial critic-fixer loop, and --peer [journal] simulated peer-review pipeline (editor + 2 dispositioned referees + editorial decision, calibrated to a target journal). R&R continuation via --peer --r2/--r3; hostile-editor stress test via…

pedrohcgs/claude-code-my-workflow · 114 tokens

grant-proposal

Scaffold a research grant proposal (NSF, NIH, ERC, or foundation) by composing existing primitives — pulls identification strategy from an /interview-me spec, delegates the data-management plan to /data-management-plan and the facilities statement to /capture-environment, and emits a funder-requirements checklist. Use…

pedrohcgs/claude-code-my-workflow · 131 tokens

preregister

Draft a structured preregistration document (OSF, AsPredicted, or AEA RCT Registry style) from a research spec or free-form study description. Output is a Markdown file with hypotheses, design, sampling plan, analysis plan, exclusions, and inference criteria — annotated with MUST / SHOULD / MAY clarity flags. Use when…

pedrohcgs/claude-code-my-workflow · 153 tokens