paper-reader

name	paper-reader
description	Deep-read an arXiv paper and generate structured DNL (Deep Note & List) reading notes. Default output: markdown DNL 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 DNL reading note as a markdown file. Optionally generate an HTML page from the paper-note template.

Default output format: Markdown DNL (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 DNL 7-section framework:

Section	What to extract
0) Metadata	Title, alias, authors, venue, date, links, tags, rating, scoring breakdown
1) Why-read	One-sentence: key claim + key observation
2) CRGP	Context, Related work, Gap, Proposal — from Introduction
3) Figures	Key figures with URLs from arxiv HTML + one-line descriptions
4) Experiments	Main results table, ablation highlights, limitations
5) Why it matters	Research insights for the reader's own work (2-4 bullets)
6) Next steps	Actionable follow-up items as checkboxes
7) Scoring	Rating breakdown explanation

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 DNL 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 DNL Template

# DNL 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 DNL:

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:

📝 DNL 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

Error	Action
arXiv HTML unavailable	Use abstract page only; note [HTML unavailable]
Very long paper (>50 pages)	Focus on Abstract, Intro, Method, Results tables, Conclusion
No figures found in HTML	Skip Figure section, note [No figures extracted]
Config file missing	Use defaults; suggest "更新我的研究画像"

---

Token Efficiency Notes

• Markdown DNL 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