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Paper Digest

  • 8 installs
  • 33 repo stars
  • Updated April 26, 2026
  • bighardperson/computer-science-skills-collection

paper-digest is a Claude skill that fetches an arXiv paper, reads its key citations via sub-agents, and writes an executive summary in flowing prose.

About

paper-digest takes an arXiv ID or URL, fetches the paper's HTML, and writes an executive summary. It identifies up to five of the paper's most-cited foundational references, spawns sub-agents to read each one, then combines them into a single flowing-prose markdown report. It writes intermediate summaries to disk and cites references as markdown links, without fabricating results.

  • Fetches an arXiv paper by ID or URL and writes an executive summary
  • Spawns sub-agents to read up to 5 key cited references
  • Outputs a single flowing-prose markdown report with inline citation links

Paper Digest by the numbers

  • 8 all-time installs (skills.sh)
  • Ranked #1,167 of 1,879 Documentation skills by installs in the Skillselion catalog
  • Data as of Jul 30, 2026 (Skillselion catalog sync)
At a glance

paper-digest capabilities & compatibility

Free; fetches public arXiv HTML, no API key required.

Capabilities
research · documentation
Use cases
research · documentation
Pricing
Free
From the docs

What paper-digest says it does

spawn sub-agents to read its key citations, and write an executive summary under.
SKILL.md
identify **at most 5 citations** the paper most directly builds on.
SKILL.md
npx skills add https://github.com/bighardperson/computer-science-skills-collection --skill paper-digest

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Listed on Skillselion
Installs8
repo stars33
Last updatedApril 26, 2026
Repositorybighardperson/computer-science-skills-collection

What it does

Fetch an arXiv paper, summarize its key cited references via sub-agents, and write one prose executive summary.

Who is it for?

Producing a context-aware executive summary of an arXiv paper and its foundational references.

When should I use this skill?

You have an arXiv ID or URL and want an executive summary that accounts for the paper's key citations.

What you get

A single flowing-prose markdown executive summary of the paper with inline citation links to key references.

  • A flowing-prose markdown executive summary with inline citation links

By the numbers

  • Reads at most 5 of the paper's key citations
  • Writes summaries to ~/.openclaw/workspace/papers/ and digests to /digest/

Files

SKILL.mdMarkdownGitHub ↗

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 4 — Write the executive summary

Check the citation summaries within ~/.openclaw/workspace/papers/ then utilize the main paper we are summarising with citation summaries and write a single markdown document in flowing prose (no bullet lists) to ~/.openclaw/workspace/digest/report_<arxiv-id>. Use this structure:

# <Title>

<What problem this solves and why it matters. Context and related references summary>

<What prior work missed and how this paper addresses that gap. Cite inline as [Author et al., YEAR](<arxiv_link>).

<Core method in plain terms>

<Headline result. How it differs from previous work.

<One limitation and one future direction>

<Detailed Ablations, benchmarks if present in this paper or cited references>

Rules

  • Every citation must be a markdown link: [Author et al., YEAR](<arxiv_or_url>)
  • No bullet lists in the output — prose only.
  • If a section is absent from the paper (e.g., no ablations), skip it silently.
  • Do not fabricate results, metrics, or author claims.
  • Citation resolution retry: If a citation URL cannot be resolved after one retry, write the citation as plain text without a link: [Author et al., YEAR].

Related skills

FAQ

How many citations does paper-digest read?

At most 5, prioritizing papers that are explicitly extended, used as the primary baseline, or provide the core architecture.

What format is the output?

A single markdown document in flowing prose with no bullet lists and every citation as a markdown link.

Documentationresearchagents

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