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
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。
# 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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