version: "1.0.0" name: paper-reader description: > Deep-read an arXiv paper and generate structured Deep Note reading notes. Default output: markdown deep note file (low token cost, git-friendly). Optional: HTML page from template. Trigger: 帮我读一下, DNL, 论文速读, paper notes, or an arXiv link.

Paper Reader — Deep Reading Notes (v3.1)

Overview

Given an arXiv paper, produce a structured deep reading note as a markdown file. Optionally generate an HTML page from the paper-note template.

Default output format: Markdown Deep Note (saves tokens, git-friendly, composable). HTML output: Add --html or say 生成 HTML to also produce an HTML page.

Triggers: arXiv link · 帮我读一下 · DNL · 论文速读 · paper notes

Step 0 — Load Research Profile (Always First)

Before running, load: ~/.openclaw/workspace/research-claw-config.md

If missing, use defaults silently and mention at the end:

Want to customize? Say "更新我的研究画像"

Step 1 — Extract arXiv ID

Recognize patterns:

• https://arxiv.org/abs/2503.XXXXX → 2503.XXXXX
• https://arxiv.org/pdf/2503.XXXXX → 2503.XXXXX
• https://arxiv.org/pdf/2503.XXXXX.pdf → 2503.XXXXX
• Bare ID: 2503.XXXXX

Step 2 — Fetch Metadata

web_fetch: https://arxiv.org/abs/{ARXIV_ID}

Extract: title, authors, year, abstract, subject categories, venue if mentioned. Also fetch HTML version for figures: https://arxiv.org/html/{ARXIV_ID}v1

---## Step 3 — Analyze Paper Content

Use web_fetch on the HTML version for structured content extraction. Focus on: Abstract, Introduction, Method, Experiments (tables/numbers), Conclusion.

Extract using the Deep Note 7-section framework:

Scoring System

Base score: 1 (any complete paper with benchmarks)

Quality bonus (0-2):

• +1: Solid experiments with proper ablation
• +2: Strong ablation + SOTA results + novel methodology

Observation bonus (0-2):

• +1: Finding directly relevant to reader's research
• +2: Paradigm-shifting insight for the field

Final = Base + Quality + Observation (max 5/5)

---## Step 4 — Write Markdown Deep Note File

Output directory: Same repo as reading notes (e.g., papers/ directory). Filename: YYYY-MM-DD_{alias}.md (e.g., 2026-04-01_gems.md)

Markdown Deep Note Template

# Deep Note — {ALIAS}
 
## 0) Metadata
-**Title:** {FULL_TITLE}
-**Alias:** {ALIAS}
-**Authors / Org:** {AUTHORS} ({INSTITUTIONS})
-**Venue / Status:** {VENUE_OR_ARXIV_ID} ({STATUS})
-**Date:** {PAPER_DATE}
-**Links:**
  -Abs: https://arxiv.org/abs/{ARXIV_ID}
  -HTML: https://arxiv.org/html/{ARXIV_ID}v1
  -PDF: https://arxiv.org/pdf/{ARXIV_ID}
  -Code: {CODE_URL_OR_PROJECT_PAGE}
-**Tags:** {comma-separated tags}
-**My rating:** {STARS} ({N}/5)
-**Read depth:** deep
-**Scoring ({BREAKDOWN}):** {EXPLANATION} = **{N}/5**
 
---
 
## 1) 一句话 Why-read
-**Key claim/contribution + key observation：** {ONE_PARAGRAPH}
 
---
 
## 2) CRGP 拆解 Introduction
### C — Context
{2-3 sentences on research background}
 
### R — Related work
{Bullet list grouped by methodology line}
 
### G — Gap
{2-3 sentences on specific limitations}
 
### P — Proposal
{2-3 sentences on proposed solution + key insight}
 
---
 
## 3) Figure 区
{For each key figure:}
-图N（{description}）：
![figN]({arxiv_html_figure_url})
  {One-line interpretation}
 
---
 
## 4) Experiments — Key Numbers
 
### Main Results
| Benchmark | Metric | This Work | Best Baseline | Delta |
|-----------|--------|-----------|---------------|-------|
| ... | ... | ... | ... | ... |
 
### Ablation
{Key ablation findings with numbers}
 
### Limitations
{2-3 honest limitations}
 
---
 
## 5) Why it matters — 对我研究的启发
{2-4 numbered insights connecting to reader's research}
 
## 6) Actionable next step
-[ ] {Follow-up item 1}
-[ ] {Follow-up item 2}
-[ ] {Follow-up item 3}
 
## 7) 评分解释
**{N}/5（{BREAKDOWN}）**
{Bullet explanation for each component}

Key rules for markdown deep note:

1. Use real numbers — never write "XX" or placeholders
2. Figures must have URLs from arxiv HTML version when available
3. Tables use pipe format — compatible with GitHub/Obsidian
4. Chinese + English mixed — technical terms in English, analysis in Chinese
5. Scoring breakdown must be explicit — show the math

---## Step 5 — Output Chat Summary

After writing the markdown file, output a brief summary in chat:

📝 Deep Note 完成 | {ALIAS}
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
📌 **{TITLE}**
👤 {AUTHORS} | 📅 {YEAR} | ⭐ {RATING}
🔗 https://arxiv.org/abs/{ARXIV_ID}
 
💡 **核心发现：** {WHY_READ one sentence}
📊 **关键数据：** {BEST_RESULT metric + number}
✨ **启发：** {TOP_INSIGHT one sentence}
 
💾 笔记 → {OUTPUT_PATH}

Step 6 — (Optional) Generate HTML

Only if user requests HTML (--html / 生成 HTML / 生成网页):

1. Load template from {SKILL_DIR}/../../templates/paper-note.html
2. Fill all {{PLACEHOLDER}} tags using extracted content
3. Save to output directory as {ARXIV_ID}.html
4. Report the saved path

See the root SKILL.md for the full placeholder mapping table.

Error Handling

Token Efficiency Notes

• Markdown deep note costs ~2-3K output tokens (vs ~8-10K for HTML template filling)
• Markdown files are git-friendly: diff, merge, grep all work naturally
• Reading list tables can directly link to markdown notes via relative paths
• HTML generation is now opt-in, not default — saves tokens on every paper read