Stata
dylantmoore/stata-skill
Comprehensive Stata reference for writing correct .do files, data management, econometrics, causal inference, graphics, Mata programming, and 20 community packages (reghdfe, estout, did, rdrobust…
经济金融论文的对抗性review循环。对草稿进行多轮严格评审，检查实证严谨性、方法正确性、理论贡献和写作质量，给出可操作的修改建议。（AI review 不能替代同行评审，草稿必须经研究者核实后投稿。）
Install Fin Review Loop
$ npx skills add csmar432/finai-research --skill fin-review-loop -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install csmar432/finai-research fin-review-loop --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/csmar432/finai-research.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/fin-review-loop .claude/skills/fin-review-loop && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "fin-review-loop" agent skill from https://github.com/csmar432/finai-research/tree/main/.agents/skills/fin-review-loop into .claude/skills/fin-review-loop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fin-review-loop", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/csmar432/finai-research/tree/main/.agents/skills/fin-review-loopType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add csmar432/finai-research --skill fin-review-loop -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install csmar432/finai-research fin-review-loop --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/csmar432/finai-research.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/fin-review-loop .agents/skills/fin-review-loop && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "fin-review-loop" agent skill from https://github.com/csmar432/finai-research/tree/main/.agents/skills/fin-review-loop into .agents/skills/fin-review-loop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fin-review-loop", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add csmar432/finai-research --skill fin-review-loop -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install csmar432/finai-research fin-review-loop --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/csmar432/finai-research.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/fin-review-loop .cursor/skills/fin-review-loop && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "fin-review-loop" agent skill from https://github.com/csmar432/finai-research/tree/main/.agents/skills/fin-review-loop into .cursor/skills/fin-review-loop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fin-review-loop", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/csmar432/finai-research.git --path .agents/skills/fin-review-loop--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add csmar432/finai-research --skill fin-review-loop -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install csmar432/finai-research fin-review-loop --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/csmar432/finai-research.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/fin-review-loop .gemini/skills/fin-review-loop && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "fin-review-loop" agent skill from https://github.com/csmar432/finai-research/tree/main/.agents/skills/fin-review-loop into .gemini/skills/fin-review-loop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fin-review-loop", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install csmar432/finai-research fin-review-loopInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add csmar432/finai-research --skill fin-review-loop -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/csmar432/finai-research.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/fin-review-loop .github/skills/fin-review-loop && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "fin-review-loop" agent skill from https://github.com/csmar432/finai-research/tree/main/.agents/skills/fin-review-loop into .github/skills/fin-review-loop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fin-review-loop", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add csmar432/finai-research --skill fin-review-loop -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install csmar432/finai-research fin-review-loop --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/csmar432/finai-research.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/fin-review-loop .opencode/skills/fin-review-loop && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "fin-review-loop" agent skill from https://github.com/csmar432/finai-research/tree/main/.agents/skills/fin-review-loop into .opencode/skills/fin-review-loop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fin-review-loop", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
fin-review-loop- GitHub stars
- 109
- Token cost
- ~970 tokens
- SKILL.md length
- 164 words
- Files
- 1
- Skills in repo
- 15
- Repo updated
- First seen
- Licence
- MIT
At a glance
经济金融论文的对抗性review循环。对草稿进行多轮严格评审，检查实证严谨性、方法正确性、理论贡献和写作质量，给出可操作的修改建议。（AI review 不能替代同行评审，草稿必须经研究者核实后投稿。）
- Works in 3 steps: 读取 output/fin-manuscript/ 下的所有 .tex 文件 → 提取论文结构：Introduction, Literature Review,… → 如文件不存在，扫描项目根目录和 papers/ 目录
- Tasks that involve Econometrics and empirical research
- SKILL.md covers 触发条件, 评分维度与权重, 评审难度级别 and 评审难度示例, plus 6 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Fin Review Loop is an agent skill from csmar432/finai-research. 经济金融论文的对抗性review循环。对草稿进行多轮严格评审，检查实证严谨性、方法正确性、理论贡献和写作质量，给出可操作的修改建议。（AI review 不能替代同行评审，草稿必须经研究者核实后投稿。）
Its SKILL.md is about 970 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Research & Science, covering Econometrics and empirical research. The repository describes itself as: Evidence-first AI workflow for economic and financial research: literature → identification → data → econometrics → verifiable LaTeX. 43 data sources, 58 method modules, 18 AI… The licence is MIT.
When your agent uses it
- Tasks that involve Econometrics and empirical research
Example prompts
- “/fin-review-loop”
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- 读取 output/fin-manuscript/ 下的所有 .tex 文件
- 提取论文结构：Introduction, Literature Review, Data, Methodology, Results, Conclusion
- 如文件不存在，扫描项目根目录和 papers/ 目录
What it can do on your machine
Read from SKILL.md and the folder at commit 47eebb7. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Fin Review Loop loads about 970 tokens when it runs. Until then it costs about 29 tokens; SKILL.md has 164 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from csmar432/finai-research at commit 47eebb7, republished under its MIT licence (© csmar432). 164 words, ~970 tokens.
Download SKILL.mdSave it as
.claude/skills/fin-review-loop/SKILL.md (or your agent's skills folder).- name
- fin-review-loop
- description
- 经济金融论文的对抗性review循环。对草稿进行多轮严格评审，检查实证严谨性、方法正确性、理论贡献和写作质量，给出可操作的修改建议。（AI review 不能替代同行评审，草稿必须经研究者核实后投稿。）
- trigger
- review|评审|审稿|检查论文
- version
- 1.0.0
- created
- 2026-06-13
- tags
- paper, review, adversarial, quality
fin-review-loop
经济金融论文的对抗性review循环。对草稿进行多轮严格评审，检查实证严谨性、方法正确性、理论贡献和写作质量，给出可操作的修改建议。（AI review 不能替代同行评审，草稿必须经研究者核实后投稿。）
触发条件
- 关键词:
review评审审稿检查论文对抗性review论文检查 - Skill语法:
Skill: fin-review-loop
评分维度与权重
| 维度 | 权重 | 通过阈值 |
|---|---|---|
| 新颖性 (Novelty) | 30% | >= 6.0 |
| 实证严谨性 (Empirical Rigour) | 30% | >= 6.0 |
| 文献覆盖 (Literature Coverage) | 15% | >= 5.0 |
| 写作清晰 (Writing Clarity) | 15% | >= 5.0 |
| 学术影响 (Academic Impact) | 10% | >= 5.0 |
其中"写作清晰"维度必须包含 AI 味检测：全文不得出现 AI 典型句式 （详见 docs/writing-guide/ANTI_AI_WRITING_GUIDE.md）， 结论段必须包含底气要素（具体数字/经济规模/机制描述/对比发现之一）。
评审难度级别
standard: 模拟标准学术审稿人strict: 模拟顶刊审稿人 (JF/JFE 级别)nightmare: 模拟严苛批评型审稿人 (如被拒稿后的防御性检查)
评审难度示例
standard
- 发现问题时会给出温和建议
- 接受主流方法选择
- 关注核心贡献是否清晰
strict
- 要求所有实证细节完备
- 质疑识别策略的每一步
- 检查文献是否覆盖最新顶刊
nightmare
- 预设论文会被拒，准备攻击
- 寻找方法论上的致命缺陷
- 模拟最严格的匿名审稿人
停止条件 (立即终止评审并报告用户)
满足以下任一条件时，立即停止评审：
- 新颖性 < 6.0 → 建议重新评估研究定位
- 实证严谨性 < 6.0 → 必须修复实证问题才能继续
- 已达到最大评审轮次 (4轮)
评审流程
第一步：解析论文
- 读取
output/fin-manuscript/下的所有.tex文件 - 提取论文结构：Introduction, Literature Review, Data, Methodology, Results, Conclusion
- 如文件不存在，扫描项目根目录和
papers/目录
第二步：诊断性检查
自动运行以下检查：
□ 平行趋势检验结果是否存在
□ 稳健性检验 >= 6 种
□ 异质性分析是否包含
□ 机制分析是否包含
□ 参考文献是否包含近3年顶刊论文
□ 变量定义表是否完整
□ 数据来源是否标注
□ 实证方法选择是否合理第三步：逐维度评分
对每个维度进行 1-10 分评分，并说明理由：
| 维度 | 评分 | 理由 |
|---|---|---|
| 新颖性 | X | 边际贡献是什么？与现有文献区别？ |
| 实证严谨性 | X | 识别策略是否合理？数据是否可靠？ |
| 文献覆盖 | X | 是否覆盖最新顶刊？经典文献？ |
| 写作清晰 | X | 逻辑是否清晰？论证是否连贯？ |
| 学术影响 | X | 对该领域的潜在影响？引用潜力？ |
第四步：生成逐节反馈
为论文每个章节生成具体、可操作的反馈：
### Introduction
- 问题: 边际贡献描述不够具体
- 建议: 明确说明与X论文的区别，本文的增量贡献是什么
### Data & Methodology
- 问题: 平行趋势图缺少统计显著性标注
- 建议: 在图中标注pre-treatment各期系数的置信区间
### Results
- 问题: 基准回归系数解读不够严谨
- 建议: 添加经济显著性解释（1个标准差变动对应Y变化X%）第五步：识别审稿人攻击点
识别论文中最可能被审稿人攻击的弱点：
## 审稿人攻击点
1. [高风险] 审稿人会质疑平行趋势假设——需要pre-trends test p值
2. [中风险] 样本期间选择——为何选择2012-2022年？
3. [低风险] 稳健性检验中未包含安慰剂检验第六步：生成修订计划
生成 REVISION_PLAN.md，按优先级列出修复项：
# 修订计划 — Round N
## 优先级 P0 (必须修复)
1. [实证] 添加平行趋势检验的p值到图中
2. [实证] 补充安慰剂检验
## 优先级 P1 (强烈建议)
1. [写作] 明确边际贡献表述
2. [文献] 补充近3年JF/JFE论文引用
## 优先级 P2 (可选优化)
1. [写作] 优化摘要结构
2. [格式] 检查参考文献格式第七步：等待用户确认修订
[CHECKPOINT] 评审完成。请确认：
1. 接受修订计划 → 开始修订
2. 修改修订计划 → 告知修改内容
3. 终止评审 → 记录当前状态第八步：重复评审
修订完成后，重新运行评审流程。重复直到通过所有阈值或达到停止条件。
输出格式
# Review Report — Round N
## Overall Score: X/10 (WEIGHTED)
## Dimension Scores
| Dimension | Score | Pass? |
|-----------|-------|-------|
| Novelty | 7.5 | ✅ |
| Rigour | 6.0 | ✅ |
| Literature | 7.0 | ✅ |
| Clarity | 6.5 | ✅ |
| Impact | 7.0 | ✅ |
## Diagnostic Checks
| Check | Status |
|-------|--------|
| Parallel trends test | ✅ |
| Robustness >= 6 types | ✅ |
| Heterogeneity analysis | ✅ |
| Mechanism analysis | ✅ |
| Recent top-journal refs | ✅ |
## Section-by-Section Feedback
### Introduction
- Issue: 边际贡献描述不够具体
- Suggestion: 明确说明与X论文的区别
### Data & Methodology
- Issue: 平行趋势图缺少统计显著性标注
- Suggestion: 在图中标注pre-treatment各期系数的置信区间
## Reviewer Attack Vectors
1. [HIGH RISK] 审稿人会质疑平行趋势假设——需要pre-trends test p-value
2. [MEDIUM RISK] 样本期间选择——为何选择2012-2022年？
## PASS/FAIL/REVISION NEEDED输出文件
output/fin-review/REVIEW_REPORT_ROUND_N.md— 本轮评审报告output/fin-review/REVISION_PLAN.md— 修订计划
依赖项
scripts/research_framework/modern_did.py— DID诊断工具scripts/research_framework/robustness_runner.py— 稳健性检验运行器scripts/journal_template.py— 期刊格式验证
约束
- 每轮评审必须完整执行所有8个步骤
- 停止条件满足时必须立即报告，不得继续评审
- 反馈必须具体、可操作，避免泛泛而谈
- 攻击点识别必须基于真实审稿人行为模式
- 修订计划必须标注优先级 (P0/P1/P2)
© csmar432, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in .agents/skills/fin-review-loop of csmar432/finai-research.
Open the folder on GitHubat commit 47eebb7
Compare with similar skills
Fin Review Loop next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Fin Review Loop this skillcsmar432/finai-research | 109 | — | ~970 | Automated safety check: Pass | MIT | |
| Statadylantmoore/stata-skill | 291 | 1 repos | ~4.2k | Automated safety check: Pass | Custom licence | |
| Stata C Pluginsdylantmoore/stata-skill | 291 | 1 repos | ~5.8k | Automated safety check: Pass | Custom licence | |
| Example Datasetspymc-labs/CausalPy | 1.2k | — | ~587 | Automated safety check: Pass | Apache-2.0 | |
| Stata AuditSepineTam/mcp-for-stata | 264 | — | ~1.2k | Automated safety check: Pass | AGPL-3.0 | |
| Stata Skill Contributordylantmoore/stata-skill | 291 | 1 repos | ~2.4k | Automated safety check: Pass | Custom licence |
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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。
Fin Idea Discovery
csmar432/finai-research
经济金融研究的完整想法发现流程。从研究方向出发，经过文献综述、想法生成、新颖性验证、实证方法设计和数据获取，输出经过数据实证验证的可执行研究方案。
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Questions about Fin Review Loop
What does Fin Review Loop do?
经济金融论文的对抗性review循环。对草稿进行多轮严格评审，检查实证严谨性、方法正确性、理论贡献和写作质量，给出可操作的修改建议。（AI review 不能替代同行评审，草稿必须经研究者核实后投稿。）. Fin Review Loop is an agent skill from csmar432/finai-research.
When should I use Fin Review Loop?
Fin Review Loop fits situations like: tasks that involve Econometrics and empirical research.
How do I install Fin Review Loop in Claude Code?
Run `npx skills add csmar432/finai-research --skill fin-review-loop -a claude-code`. Or copy the skill folder (.agents/skills/fin-review-loop in csmar432/finai-research) into .claude/skills/fin-review-loop in your project. Claude Code loads it when a task matches its description.
How do I install Fin Review Loop in Codex?
Run `npx skills add csmar432/finai-research --skill fin-review-loop -a codex`. Or copy the skill folder (.agents/skills/fin-review-loop in csmar432/finai-research) into .agents/skills/fin-review-loop in your project. Codex loads it when a task matches its description.
Can I use Fin Review Loop in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add csmar432/finai-research --skill fin-review-loop -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/fin-review-loop, .gemini/skills/fin-review-loop, .github/skills/fin-review-loop and .opencode/skills/fin-review-loop in your project.
What does Fin Review Loop need to run?
SKILL.md names no scripts, command-line tools or credentials: Fin Review Loop is instructions for the agent only.
Does Fin Review Loop access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Fin Review Loop safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Fin Review Loop use?
Fin Review Loop is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Fin Review Loop use?
About 970 tokens (SKILL.md is roughly 3.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Fin Review Loop?
Skills that share tags, products or a category with Fin Review Loop: Stata (dylantmoore/stata-skill, 291 stars), Stata C Plugins (dylantmoore/stata-skill, 291 stars), Example Datasets (pymc-labs/CausalPy, 1.2k stars) and Stata Audit (SepineTam/mcp-for-stata, 264 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Fin Review Loop?
csmar432 (a GitHub user) maintains it in csmar432/finai-research, which has 109 GitHub stars. The repository holds 15 skills in this directory. The repository was last updated on October 6, 2026.
Source: csmar432/finai-research on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.