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Agent skill

Daily Paper Digest

by Galaxy-Dawn in Galaxy-Dawn/claude-scholar

Finds recent arXiv and bioRxiv papers on a topic, narrows them in stages to one pick per field, and writes bilingual Chinese and English summaries.

MITAuto-check passedResearch & Science

Install Daily Paper Digest

skills CLI
$ npx skills add Galaxy-Dawn/claude-scholar --skill daily-paper-generator -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Galaxy-Dawn/claude-scholar daily-paper-generator --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Galaxy-Dawn/claude-scholar.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/daily-paper-generator .claude/skills/daily-paper-generator && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
daily-paper-generator
GitHub stars
5.7k
Token cost
~1k tokens
SKILL.md length
471 words
Files
6 (incl. scripts, references)
Skills in repo
34
Repo updated
First seen
Licence
MIT

At a glance

Finds recent arXiv and bioRxiv papers on a topic, narrows them in stages to one pick per field, and writes bilingual Chinese and English summaries.

  • Works in 7 steps: Define query → Search arXiv and/or bioRxiv → Top 10 candidate selection (per field) → …
  • Producing a daily or weekly paper digest on a research topic
  • SKILL.md covers Overview, When to Use, Output Format and Quick Reference, plus 3 more sections
  • Runs Python scripts from its folder; calls python

What it does

Each run starts with a topic query and a time window. The bundled arxiv_search.py script then searches arXiv, bioRxiv or both and sorts merged results by date. The agent builds an explicit list of ten candidates per field, scores them against a quality-criteria reference, keeps the best three, and picks one final paper per field.

Every summary carries the title, authors and source, links and date, a Chinese review of roughly 300 words, a concise English review, a metadata table and an optional appendix. Reference files supply general topic queries, scoring criteria and a Chinese writing style, and a sample digest is included. Output is saved into a folder named daily paper.

When your agent uses it

  • Producing a daily or weekly paper digest on a research topic
  • Collecting recent arXiv and bioRxiv papers for a reading list
  • Writing bilingual reading notes on a chosen paper

Example prompts

  • “Make today's paper digest on multimodal foundation models for healthcare.”
  • “Search only bioRxiv for protein language model interpretability from the last week.”
  • “Give me a weekly digest on test-time adaptation for medical imaging from arXiv and bioRxiv.”

Requirements

  • Python to run scripts/arxiv_search.py
  • Network access to arXiv and bioRxiv

Workflow steps

7 steps, taken from the step headings in SKILL.md.

  1. Define query
  2. Search arXiv and/or bioRxiv
  3. Top 10 candidate selection (per field)
  4. Top 3 quality shortlist (per field)
  5. Final Top 1 selection (per field)
  6. Generate bilingual summaries
  7. Save output

What it can do on your machine

Read from SKILL.md and the folder at commit 9037873. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Daily Paper Digest loads about 1k tokens when it runs, and up to ~3.8k if it reads all its reference files. Until then it costs about 57 tokens; SKILL.md has 471 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~57
When it runs · the whole SKILL.md, loaded when a task matches
~1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.8k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from Galaxy-Dawn/claude-scholar at commit 9037873, republished under its MIT licence (© Galaxy-Dawn). 471 words, ~1,024 tokens.

Download SKILL.mdSave it as .claude/skills/daily-paper-generator/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.
name
daily-paper-generator
description
Use when the user asks to generate daily paper digests on a general topic. This skill supports both arXiv and bioRxiv (or either one), then produces structured Chinese/English summaries for selected papers.
version
0.5.1

Daily Paper Generator

Overview

Discover, screen, and summarize recent papers for any research topic.

Supported sources:

  • arXiv
  • bioRxiv
  • both (--source both)

Core workflow:

  1. Define topic query and time window
  2. Search papers from arXiv / bioRxiv
  3. Select Top 10 candidates per field
  4. Score and narrow to Top 3 per field
  5. Choose Top 1 per field
  6. Generate bilingual summaries
  7. Save outputs to daily paper/

When to Use

Use this skill when:

  • The user asks for a daily/weekly paper digest on any topic
  • The user wants recent papers from arXiv and/or bioRxiv
  • The user needs structured bilingual notes for reading and tracking

Output Format

Each summary should contain:

  1. Paper title
  2. Authors and venue/source
  3. Link(s) and date
  4. Chinese review (~300 words)
  5. English review (concise academic prose)
  6. Metadata table
  7. Appendix (optional resources)

Quick Reference

TaskMethod
Search papersUse scripts/arxiv_search.py with `--source arxiv
Topic selectionUse general-topic queries from references/keywords.md
Evaluate qualityUse references/quality-criteria.md
Write Chinese reviewUse references/writing-style.md
Write English reviewFollow scientific writing best practices

Workflow

Step 1: Define query

Choose a concrete topic query. Examples:

  • test-time adaptation for medical imaging
  • multimodal foundation model for healthcare
  • protein language model interpretability
Step 2: Search arXiv and/or bioRxiv

Use helper script:

bash
python skills/daily-paper-generator/scripts/arxiv_search.py \
  --query "test-time adaptation for medical imaging" \
  --source both \
  --months 1 \
  --max-results 80 \
  --output /tmp/papers.json

Notes:

  • --source arxiv: arXiv only
  • --source biorxiv: bioRxiv only
  • --source both: merge both sources and sort by date
Step 3: Top 10 candidate selection (per field)

For each candidate paper:

  1. Check topic relevance from title + abstract
  2. Remove obviously off-topic papers
  3. Keep Top 10 candidates for this field

Minimum rule:

  • Do not jump directly from raw search results to final paper.
  • Keep an explicit Top 10 list first.
Show full SKILL.md (192 more words)Show less
Step 4: Top 3 quality shortlist (per field)

For the Top 10 pool:

  1. Score each paper with references/quality-criteria.md
  2. Rank by weighted score
  3. Keep Top 3
Step 5: Final Top 1 selection (per field)

For the Top 3 shortlist:

  1. Compare novelty + method completeness + experimental credibility
  2. Check practical impact for the field
  3. Select Top 1 as the final pick

Required output trace:

  • Top 10 candidate list
  • Top 3 scored shortlist (with weighted scores)
  • Final Top 1 and one-paragraph selection rationale
Step 6: Generate bilingual summaries

For each selected paper, generate:

  • 中文评语：背景、挑战、贡献、方法、结果、局限
  • English Review: concise, factual, non-formulaic
Step 7: Save output

Recommended directory and naming:

text
daily paper/
  YYYY-MM-DD-HHMM-paper-1.md
  YYYY-MM-DD-HHMM-paper-2.md
  YYYY-MM-DD-HHMM-paper-3.md

Additional Resources

  • references/keywords.md: general-topic query templates
  • references/quality-criteria.md: scoring rubric
  • references/writing-style.md: review writing style
  • example/daily paper example.md: output example
  • scripts/arxiv_search.py: arXiv + bioRxiv search helper

Important Notes

  1. Use explicit topic queries, avoid single-word vague queries.
  2. Keep the time window explicit (--months N).
  3. Distinguish source in metadata (arxiv vs biorxiv).
  4. Use the fixed narrowing rule: Top 10 -> Top 3 -> Top 1 (per field).
  5. If a paper lacks robust evaluation, mark confidence and limitations clearly.
  6. Do not fabricate unavailable fields (institution/GitHub/code links).

© Galaxy-Dawn, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 5 other files (scripts, references) in skills/daily-paper-generator of Galaxy-Dawn/claude-scholar.

  • SKILL.md
  • example/daily paper example.md
  • references/keywords.md
  • references/quality-criteria.md
  • references/writing-style.md
  • scripts/arxiv_search.py

Open the folder on GitHubat commit 9037873

Compare with similar skills

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Daily Paper Digest compared with similar skills
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Systematic Literature Review Builderbytedance/deer-flow84k2 repos~4.3kAutomated safety check: PassMIT
Paper Research on arXivXiaomiMiMo/MiMo-Code14k—~1.5kAutomated safety check: PassMIT

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Works with

Categories

Questions about Daily Paper Digest

What does Daily Paper Digest do?

Finds recent arXiv and bioRxiv papers on a topic, narrows them in stages to one pick per field, and writes bilingual Chinese and English summaries. Each run starts with a topic query and a time window.py script then searches arXiv, bioRxiv or both and sorts merged results by date.

When should I use Daily Paper Digest?

Daily Paper Digest fits situations like: producing a daily or weekly paper digest on a research topic; collecting recent arXiv and bioRxiv papers for a reading list; writing bilingual reading notes on a chosen paper.

How do I install Daily Paper Digest in Claude Code?

Run `npx skills add Galaxy-Dawn/claude-scholar --skill daily-paper-generator -a claude-code`. Or copy the skill folder (skills/daily-paper-generator in Galaxy-Dawn/claude-scholar) into .claude/skills/daily-paper-generator in your project. Claude Code loads it when a task matches its description.

How do I install Daily Paper Digest in Codex?

Run `npx skills add Galaxy-Dawn/claude-scholar --skill daily-paper-generator -a codex`. Or copy the skill folder (skills/daily-paper-generator in Galaxy-Dawn/claude-scholar) into .agents/skills/daily-paper-generator in your project. Codex loads it when a task matches its description.

Can I use Daily Paper Digest in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Galaxy-Dawn/claude-scholar --skill daily-paper-generator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/daily-paper-generator, .gemini/skills/daily-paper-generator, .github/skills/daily-paper-generator and .opencode/skills/daily-paper-generator in your project.

What does Daily Paper Digest need to run?

Going by SKILL.md and its folder, Daily Paper Digest needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python to run scripts/arxiv_search.py; Network access to arXiv and bioRxiv.

Does Daily Paper Digest access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Daily Paper Digest safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Daily Paper Digest use?

Daily Paper Digest is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Daily Paper Digest use?

About 1k tokens (SKILL.md is roughly 4.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.7k tokens, read only when the agent opens those files.

What are the alternatives to Daily Paper Digest?

Skills that share tags, products or a category with Daily Paper Digest: Paper Navigator (AI4Scientist/nano-scientist, 128 stars), Read arXiv Paper (karpathy/nanochat, 59k stars), Literature Review (neflibata-feng/MyArxiv-Agent, 126 stars) and Systematic Literature Review Builder (bytedance/deer-flow, 84k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Daily Paper Digest?

Galaxy-Dawn (a GitHub user) maintains it in Galaxy-Dawn/claude-scholar, which has 5,725 GitHub stars. The repository holds 34 skills in this directory. The repository was last updated on September 23, 2026.

Source: Galaxy-Dawn/claude-scholar on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.