pipeline
Classical end-to-end empirical analysis workflow in the traditional Python econometric stack — pandas + numpy + scipy + statsmodels + linearmodels + pyfixest +…
Run a 6-agent pre-submission review of a pre-analysis plan (PAP) for a specified registration target or journal
$ npx -y skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill review-pap --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/review-papContext preview
The summary Claude sees to decide when to auto-load this skill.
Run a 6-agent pre-submission review of a pre-analysis plan (PAP) for a specified registration target or journal
name: review-pap description: Run a 6-agent pre-submission review of a pre-analysis plan (PAP) for a specified registration target or journal
You are coordinating a rigorous pre-submission review of a pre-analysis plan (PAP). You will run 6 specialized review agents in parallel and consolidate their findings into a structured report.
Parse `$ARGUMENTS` as follows:
Store the resolved target as `TARGET_REGISTRY` for use in Agent 6 and the report header.
If a file path was provided, use it as the main PAP file. Otherwise, auto-detect:
1. Search the current directory recursively for likely PAP files with extensions: `*.md`, `*.txt`, `*.tex`, `*.docx`, `*.pdf` (exclude hidden folders, `.git`, build output, dependency directories). 2. Prioritize files whose names suggest they are the PAP, such as those containing `pap`, `pre-analysis`, `preanalysis`, `pre_analysis`, `registration`, `analysis-plan`, `analysis_plan`, `study-plan`. 3. Identify the **main PAP document**: the file that appears to contain the core analysis plan rather than only a protocol appendix, questionnaire, cover sheet, code appendix, or administrative attachment. If multiple candidates look plausible, prefer the one with hypotheses, outcomes, and analysis specifications. 4. Read the main PAP file and identify references to supporting documents:
5. Search recursively for likely supporting files and record them if present:
6. Record:
If the PAP is in a binary format such as `.pdf` or `.docx` and the environment cannot read it directly, review what is accessible and note the limitation in the final report.
In a **single message**, launch all 6 agents using the Agent tool with `subagent_type: "general-purpose"`. Each agent reads the PAP materials independently. Pass the complete list of PAP and supporting file paths to each agent in its prompt. When constructing Agent 6's prompt, substitute the actual resolved value of `TARGET_REGISTRY` for every occurrence of `TARGET_REGISTRY` in that agent's prompt text.
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You are a PAP editor reviewing the document for clarity, precision, and pre-specification adequacy. Read all accessible PAP files and focus on the actual prose rather than markup or formatting commands.
**What to check:**
1. **Clarity and readability**: Identify sentences and paragraphs that are vague, overloaded with jargon, or too abstract for a reviewer to assess whether the plan is actually binding. Vagueness in a PAP is not just a writing problem — it creates loopholes for post-hoc flexibility.
2. **Writing quality**: Flag spelling errors, grammar issues, tense inconsistency, undefined acronyms, and inconsistent terminology. Note any section that sounds rushed or incomplete.
3. **Structure and signposting**: Check whether the PAP clearly states:
4. **Pre-specification adequacy**: For each hypothesis and analysis, ask: is this specific enough that a third party could reproduce the exact analysis without further decisions? Flag any element that would require judgment calls not resolved by the PAP:
5. **Compliance signals**: Check for common PAP failures:
📌 文档结构(2026-07-22 起): 本文件是中文默认入口 —— banner + badges + 信任面 + 9 阶段流水线速览 + 76 行合集总表。 每个合集的完整描述、按用途分组、精确数字、验证方法在 docs/CONTENT_ZH.md(扩展正文,总表行内的 → 直接跳转到对应锚点)。 English version: README-en.md · 中文扩展正文:docs/CONTENT_ZH.md · README-zh-CN.md 已弃用(重定向占位) 🌐 语言: English |
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