| name | paper-submission |
| description | Evaluate a paper's contribution novelty, identify best-fit SSCI journal fields and ABS star rating, and recommend 20 target journals. Trigger when user says "paper submission" / "paper-submission" / "投稿评估" / "期刊推荐" / "target journal" / "选刊". |
| allowed-tools | Read, Bash, Edit, Write, Glob, Grep, AskUserQuestion, WebSearch, WebFetch, Agent |
| argument-hint | [path-to-paper-pdf-or-project-folder] |
Paper Submission Evaluator
Overview
This skill evaluates an academic paper and produces a comprehensive submission target report. It performs four assessments:
- Contribution Novelty Score (0-100): How much the paper advances existing literature, assessed via web search for related work.
- Best-Fit SSCI Journal Fields: Which ABS field categories best match the paper.
- Appropriate ABS Star Rating: What star level (1, 2, 3, 4, 4*) the paper's quality warrants.
- Top 20 Journal Recommendations: From the 2 best-fitting fields, at the recommended ABS star level, list 20 SSCI-indexed journals with rationale.
The ABS journal list is read from C:\Users\Admin\.claude\skills\paper-submission\asset\Business School Journal List 2023.pdf (referred to as AJG2025). This file is bundled with the skill in the asset/ folder, so it is always available regardless of changes to the user's desktop.
The final report is saved as target.pdf in the paper's directory.
Workflow
Phase 1: Initialization
- Receive paper path from user (via
$ARGUMENTS or ask). Accept either:
- A PDF file containing the full paper
- A project folder containing LaTeX files (main.tex, tables, etc.)
- Read the paper thoroughly:
- For PDF: Read all pages using the Read tool with page ranges.
- For LaTeX project: Read main.tex and key result files.
- Extract key information and record internally:
- Research question / hypothesis
- Methodology (empirical strategy, identification, data)
- Data source and sample (country, market, time period)
- Key findings (baseline results, mechanisms, heterogeneity)
- Stated or implied contributions
- Keywords and JEL codes (if present)
- Summarize the paper in ~200 words for use in subsequent phases. Present this summary to the user for confirmation:
我已阅读论文，以下是摘要：
研究问题：[...]
方法：[...]
数据：[...]
主要发现：[...]
贡献方向：[...]
请确认以上理解是否正确，或进行调整。
- Wait for user confirmation before proceeding.
Phase 2: Literature Novelty Assessment (Web Search Required)
This phase evaluates how novel the paper's contribution is relative to existing literature. Web search is mandatory.
Step 2a: Identify Search Dimensions
Based on the paper summary, identify 3-5 search dimensions that capture the paper's core novelty claims. Each dimension represents a facet of the paper's contribution. Examples:
- Topic novelty: "Has [X effect on Y] been studied before?"
- Methodological novelty: "Has [identification strategy Z] been applied to [this question]?"
- Data novelty: "Has [this data source / market / country] been used for [this question]?"
- Mechanism novelty: "Have [these channels] been documented?"
- Setting novelty: "Has [this policy / institutional context] been exploited?"
Step 2b: Conduct Web Searches
For each dimension, conduct at least 2 targeted web searches using WebSearch. Search queries should be in English and target academic literature. Example queries:
"[dependent variable]" AND "[independent variable]" site:ssrn.com OR site:nber.org"[key mechanism]" AND "[research context]" journal article[topic keywords] survey OR review OR meta-analysis
For each search:
- Execute the WebSearch query.
- Read the top results using WebFetch to check abstracts and findings.
- Record: (a) how many closely related papers exist, (b) how the current paper differs from them, (c) whether the core finding has been documented before.
Step 2c: Score the Contribution
Assign a novelty score out of 100 based on these criteria:
| Score Range | Meaning | Criteria |
|---|
| 85-100 | Highly novel | No prior paper addresses this exact question with this approach. Opens a new research direction. |
| 70-84 | Substantially novel | Few prior papers on a similar topic, but this paper offers a clearly distinct angle (new data, new mechanism, new identification). |
| 55-69 | Moderately novel | Topic has been studied, but this paper contributes incremental insights (new setting, additional robustness, extension of known results). |
| 40-54 | Limited novelty | Multiple papers have addressed similar questions with similar methods. Contribution is primarily confirmatory or extends to a new sample. |
| 0-39 | Low novelty | The main findings have been well-documented. Contribution is marginal. |
For each dimension, assign a sub-score and weight. The final score is the weighted average.
Present the assessment to the user:
文献创新性评估结果：
维度1: [dimension name] — 子分 [X]/100
已有文献：[list 2-3 most relevant prior papers with year]
本文区别：[how this paper differs]
维度2: [dimension name] — 子分 [X]/100
...
综合创新性得分：[SCORE]/100
评级：[Highly novel / Substantially novel / Moderately novel / Limited novelty / Low novelty]
主要创新点：
1. [innovation point 1]
2. [innovation point 2]
3. [innovation point 3]
潜在风险：
- [e.g., "Reviewer may argue that [X] has been shown by [Author, Year]"]
Phase 3: Field Matching and ABS Star Rating
Step 3a: Identify Best-Fit Fields
The ABS journal list uses these field categories (22 fields total):
- ACCOUNT (Accounting)
- FINANCE (Finance)
- ECON (Economics)
- STRAT (Strategy)
- MKT (Marketing)
- OPS&TECH (Operations and Technology)
- OR&MANSCI (Operations Research and Management Science)
- ORG STUD (Organization Studies)
- HRM&EMP (Human Resource Management and Employment)
- IB&AREA (International Business and Area Studies)
- INNOV (Innovation)
- PUB SEC (Public Sector Management)
- SOC SCI (Social Sciences)
- SECTOR (Sector Studies)
- BUS & ECON HIST (Business and Economic History)
- MDEV&EDU (Management Development and Education)
- REGIONAL (Regional Studies)
- ENT-SBM (Entrepreneurship and Small Business Management)
- ETHICS-CSR-MAN (Ethics, CSR and Management)
- INFO MAN (Information Management)
- PSYCH (GENERAL) (Psychology - General)
- PSYCH (WOP-OB) (Psychology - Work and Organizational)
Based on the paper's topic, methodology, and data, identify the 2 most suitable fields. Consider:
- What is the paper's primary disciplinary home? (e.g., corporate finance paper → FINANCE)
- What is a strong secondary field? (e.g., uses accounting data → ACCOUNT; studies innovation → INNOV)
- Where would the paper's contribution resonate most?
Step 3b: Determine Appropriate ABS Star Rating
Assess the paper's quality level to determine the appropriate ABS star tier for targeting:
| Star Level | Criteria |
|---|
| 4* | World-leading journals. Paper must have: exceptional novelty (score 85+), rigorous identification, clean causal story, broad implications, polished writing. Very selective — only recommend if the paper is truly outstanding. |
| 4 | Top field journals. Paper should have: high novelty (score 70+), solid identification strategy, clear contribution, well-executed empirics. |
| 3 | Highly regarded journals. Paper should have: moderate-to-high novelty (score 55+), reasonable identification, clear results, good execution. |
| 2 | Well-recognized journals. Paper with: some novelty (score 40+), standard methodology, sound results. |
| 1 | Recognized journals. Paper with: limited novelty, basic methodology, narrow contribution. |
Decision rules:
- Novelty score alone does not determine the star level — also consider methodology rigor, data quality, writing quality, and scope of implications.
- If the paper uses a novel identification strategy (natural experiment, RDD, etc.), upgrade by 0.5 star.
- If the paper uses Chinese data targeting international journals, be realistic: Chinese-market papers rarely appear in 4* journals unless the finding has universal implications.
- Be honest and calibrated. Over-optimistic recommendations waste the author's time.
Present the assessment:
领域匹配与星级评估：
最佳匹配领域：
1. [Field 1] — [rationale]
2. [Field 2] — [rationale]
建议投稿星级：ABS [N] 星
理由：
- 创新性：[novelty score] 分，[assessment]
- 方法论：[methodology assessment]
- 数据质量：[data assessment]
- 贡献范围：[scope assessment]
是否同意以上评估？如需调整星级，请告知。
Wait for user confirmation before proceeding.
Phase 4: Journal Recommendations
Step 4a: Extract Journal Data from ABS PDF
Read the ABS journal list PDF (C:\Users\Admin\.claude\skills\paper-submission\asset\Business School Journal List 2023.pdf) using a Python script to extract all journals matching:
- Field = one of the 2 identified fields
- ABS star rating = the recommended level (also include one level above and one level below for reference)
- SSCI indexed = Yes (prioritize SSCI journals, but include non-SSCI journals as backup)
Use the following Python approach via Bash:
import fitz
doc = fitz.open(r'C:\Users\Admin\.claude\skills\paper-submission\asset\Business School Journal List 2023.pdf')
Step 4b: Rank and Select 20 Journals
From the extracted journals, select the top 20 recommendations across the 2 fields. Ranking criteria:
- Field relevance: How well the journal's scope matches the paper's topic
- Star level match: Journals at the recommended star level ranked first
- SSCI status: SSCI-indexed journals preferred
- JIF: Higher impact factor preferred (as tiebreaker)
- Publication precedent: Journals that have published similar topics (based on your knowledge)
Organize the list as:
- Field 1: 10 journals (ranked by fit)
- Field 2: 10 journals (ranked by fit)
For each journal, provide:
- Journal name
- ABS star rating
- SSCI status and JCR quartile
- JIF (if available)
- 1-sentence rationale for why this journal fits the paper
Phase 5: Report Generation
Generate the final report as target.pdf saved in the paper's directory (or user-specified location).
Report Structure
The report should contain:
═══════════════════════════════════════════
论文投稿目标评估报告
Paper Submission Target Report
═══════════════════════════════════════════
生成日期：[YYYY-MM-DD]
论文标题：[Paper title if available]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
一、论文概要
[200-word paper summary]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
二、文献创新性评估
综合得分：[SCORE]/100 — [Rating]
[For each dimension:]
维度 [N]: [Name] — [Sub-score]/100
相关文献：[2-3 papers]
本文创新：[How this paper differs]
主要创新点：
1. [...]
2. [...]
3. [...]
潜在审稿风险：
- [...]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
三、目标领域与星级
最佳领域：[Field 1], [Field 2]
建议星级：ABS [N] 星
评估维度：
- 创新性：[...]
- 方法论：[...]
- 数据质量：[...]
- 贡献范围：[...]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
四、推荐期刊（共20本）
[Field 1 Name]（10本）:
┌────┬──────────────────────┬──────┬──────┬──────┬─────────────────────────┐
│ # │ Journal │ ABS │ SSCI │ JIF │ 推荐理由 │
├────┼──────────────────────┼──────┼──────┼──────┼─────────────────────────┤
│ 1 │ ... │ ... │ ... │ ... │ ... │
│ ...│ │ │ │ │ │
└────┴──────────────────────┴──────┴──────┴──────┴─────────────────────────┘
[Field 2 Name]（10本）:
┌────┬──────────────────────┬──────┬──────┬──────┬─────────────────────────┐
│ # │ Journal │ ABS │ SSCI │ JIF │ 推荐理由 │
├────┼──────────────────────┼──────┼──────┼──────┼─────────────────────────┤
│ 1 │ ... │ ... │ ... │ ... │ ... │
│ ...│ │ │ │ │ │
└────┴──────────────────────┴──────┴──────┴──────┴─────────────────────────┘
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
五、投稿建议
[2-3 paragraphs of strategic advice:]
- Which journal to try first and why
- Backup strategy if rejected
- Any adjustments to the paper that would improve chances at higher-tier journals
PDF Generation Method
Use the Python script scripts/generate_report.py to produce the PDF. The script uses fpdf2 with Chinese font support (SimSun from C:\Windows\Fonts\simsun.ttc).
Interaction pattern:
报告已生成并保存至：[path]/target.pdf
报告包含：
- 创新性评估：[SCORE]/100
- 推荐领域：[Field 1], [Field 2]
- 推荐星级：ABS [N] 星
- 推荐期刊：20本（每个领域10本）
Important Notes
- Web search is mandatory for Phase 2. Do not skip novelty assessment.
- Be calibrated and honest in scoring. An inflated score wastes the author's time on unrealistic targets.
- ABS journal list PDF is the authoritative source for journal data. Extract data programmatically from the PDF — do not rely on memory alone.
- SSCI indexing is strongly preferred but not strictly required. If fewer than 10 SSCI journals exist in a field at the target star level, supplement with non-SSCI journals and mark them clearly.
- Star level flexibility: The 20 journal recommendations should primarily be at the recommended star level. If fewer than 10 journals exist at that level in a field, include journals from one level above or below, clearly marked.
- The report language is Chinese for headings and explanations, English for journal names and academic content.
- If the user provides a specific target journal or field preference, adjust recommendations accordingly.
- The output file is always named
target.pdf unless the user specifies otherwise.
