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paper-digest

Given an arXiv ID or URL, fetch the paper, spawn sub-agents to read its key citations, and write an executive summary under.

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直接复制以下提示词,发送给你的 AI 助手即可完成安装。

请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 paper-digest 技能。 若已安装,则直接安装 paper-digest 技能。

Overview

Skill Key
damoonsh/paper-digest
Author
Damoon
Source Repo
openclaw/skills
Version
0.0.1
Source Path
skills/damoonsh/paper-digest
Latest Commit SHA
199bacee08a986059d611ecbc6ec0769d9cb3333

Extracted Content

SKILL.md excerpt

# Paper Digest

## Input

- `arxiv_id`: bare ID like `2305.11206` or full `https://arxiv.org/abs/2305.11206` (Normalise: strip the URL prefix, extract bare ID.)

## Step 1 — Fetch the main paper

Try HTML first: web.fetch https://arxiv.org/html/<arxiv_id>
- If HTTP 200 → use this as `paper_text`.
- If Falis: add v1 at the end, and try again: web.fetch https://arxiv.org/html/<arxiv_id>v1
- else if all fails skip and ABORT!

If the `paper_text` is retrieved then write the summary to `~/.openclaw/workspace/papers/<arxiv-id>.md`.

## Step 2 — Extract citations

Note: DO NOT DO THIS STEP INSIDE sub-agents

Within the `main agent` and from `paper_text`, identify **at most 5 citations** the paper most directly builds on. Prioritize:
- Papers that are **explicitly extended** or improved upon
- Papers used as the **primary baseline** for comparison
- Papers that **provide the core architecture** this work adopts
- Papers **referred to repeatedly** (not just mentioned once) or that provide essential context

For each citation, extract either the `arXiv ID` or the **title**. Then resolve to an arXiv URL:
- If an arXiv ID is in the reference → `https://arxiv.org/html/<id>`
- Otherwise search `https://arxiv.org/search/?query=<title>&searchtype=all` and take the first match.

## Step 3 — Spawn sub-agents for citations

***Note***: Ensure that the sub-agent related task is precise and concise so the sub-agent does not have to re-read the previously read SKILLs and files.

For each resolved citation:
- Check if the file for citation exists: `~/.openclaw/workspace/papers/<arxiv-id>.md`, if it does then skip and consider the sub-agent concluded.
- If the previous step fails then spawn a sub-agent with this EXACT instruction in VERBATIM: 
  - Fetch https://arxiv.org/html/<citation_id> (or add v1 at the end, and try again: web.fetch https://arxiv.org/html/<arxiv_id>v1). If unavailable, SKIP. If retrieved then Write the summary to `~/.openclaw/workspace/papers/<arxiv-id>.md`.


## Step...

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