OpenClaw

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.

damoonsh0 来源安装数☆ 0 仓库 Starsv0.0.1

查看来源 ↗安装与使用 SKILL.md ↗

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求，再添加到工作流。

SkillHub CLI

skillhub install damoonsh/paper-digest

打开来源仓库，查看说明和兼容环境后，按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent，让它先读取说明、核对依赖，并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

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...

来源信息

Source: github
Repository: openclaw/skills
Path: skills/damoonsh/paper-digest
Version: 0.0.1
Commit: 199bacee08a986059d611ecbc6ec0769d9cb3333
分类来源: rules
状态: active
可见性: public

这些信息来自收录时的来源分析，可能滞后；使用前请核对最新来源文件。

来源内容

SKILL.md

# 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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