Agent skill

Deepxiv Trending Digest

by DeepXiv in DeepXiv/deepxiv_sdk

Summarize recent hot academic papers using deepxiv trending, brief, head, and section reads, then produce a markdown digest highlighting what each paper is about and which papers deserve deeper…

MITAuto-check passedResearch & Science

Install Deepxiv Trending Digest

skills CLI
$ npx skills add DeepXiv/deepxiv_sdk --skill deepxiv-trending-digest -a claude-code

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

GitHub CLI
$ gh skill install DeepXiv/deepxiv_sdk deepxiv-trending-digest --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/DeepXiv/deepxiv_sdk.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/deepxiv-trending-digest .claude/skills/deepxiv-trending-digest && 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
deepxiv-trending-digest
GitHub stars
804
Token cost
~1.2k tokens
SKILL.md length
490 words
Files
1
Skills in repo
3
Repo updated
First seen
Licence
MIT

At a glance

Summarize recent hot academic papers using deepxiv trending, brief, head, and section reads, then produce a markdown digest highlighting what each paper is about and which papers deserve deeper…

  • Works in 5 steps: Pull trending papers → Brief every candidate → Rank for deeper reading → …
  • Tasks that involve Markdown
  • SKILL.md covers Goal, Default Workflow, Markdown Output and Writing Rules, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Deepxiv Trending Digest is an agent skill from DeepXiv/deepxiv_sdk. Summarize recent hot academic papers using deepxiv trending, brief, head, and section reads, then produce a markdown digest highlighting what each paper is about and which papers deserve deeper reading.

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Research & Science, covering Markdown. The repository describes itself as: Talk to research papers like talking to authors - Python package with AI agent for arXiv papers. The licence is MIT.

When your agent uses it

  • Tasks that involve Markdown

Example prompts

  • “/deepxiv-trending-digest”

Workflow steps

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

  1. Pull trending papers
  2. Brief every candidate
  3. Rank for deeper reading
  4. Inspect paper structure
  5. Read only high-value sections

What it can do on your machine

Read from SKILL.md and the folder at commit 80be0b1. 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

    No scripts in the folder and no shell commands in SKILL.md (its code samples are bash and markdown).

    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

Deepxiv Trending Digest loads about 1.2k tokens when it runs. Until then it costs about 57 tokens; SKILL.md has 490 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
~1.2k

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from DeepXiv/deepxiv_sdk at commit 80be0b1, republished under its MIT licence (© DeepXiv). 490 words, ~1,222 tokens.

Download SKILL.mdSave it as .claude/skills/deepxiv-trending-digest/SKILL.md (or your agent's skills folder).
name
deepxiv-trending-digest
description
Summarize recent hot academic papers using deepxiv trending, brief, head, and section reads, then produce a markdown digest highlighting what each paper is about and which papers deserve deeper reading.

Use this skill when the user wants a recent hot-paper roundup, trending paper summary, weekly paper digest, or a markdown report based on DeepXiv trending papers.

Goal

Turn recent DeepXiv trending papers into a concise markdown digest:

  1. Find currently hot papers with deepxiv trending
  2. Brief each candidate with deepxiv paper <id> --brief
  3. Select the most promising papers for deeper inspection
  4. Inspect structure with deepxiv paper <id> --head
  5. Read only the most relevant sections with deepxiv paper <id> --section ...
  6. Write a clean .md summary with recommendations

Default Workflow

Start with a small, recent set unless the user asks otherwise.

bash
deepxiv trending --days 7 --limit 10 --json

Default heuristics:

  • Use --days 7 for "recent hot papers"
  • Use --limit 10 for a manageable first pass
  • If the user asks for a broader roundup, use --days 14 or --days 30
2. Brief every candidate

For each selected arXiv ID, fetch a brief first:

bash
deepxiv paper <arxiv_id> --brief

Capture:

  • title
  • arXiv ID
  • publish date
  • keywords
  • TLDR
  • citations if present
  • GitHub URL if present

Do not jump to full text yet. --brief is the default screening step.

3. Rank for deeper reading

After reading briefs, choose the top 1-3 papers for deeper inspection.

Use signals like:

  • strong novelty or surprising result
  • practical relevance
  • likely user interest
  • unusually clear contribution
  • useful code release
  • especially strong social or research momentum

If a paper sounds incremental, unclear, or out of scope, keep it in the digest but skip deep reading.

4. Inspect paper structure

For the chosen papers:

bash
deepxiv paper <arxiv_id> --head

Use --head to decide whether to drill down and which section matters most.

Look for sections such as:

  • Introduction
  • Method / Approach / Framework
  • Experiments / Results / Evaluation
  • Discussion / Limitations

Prefer section reads over full paper reads.

Show full SKILL.md (205 more words)Show less
5. Read only high-value sections

Read at most 1-2 sections per paper unless the user explicitly asks for a deep dive.

Examples:

bash
deepxiv paper <arxiv_id> --section Introduction
deepxiv paper <arxiv_id> --section Method
deepxiv paper <arxiv_id> --section Results

Selection guidance:

  • Read Introduction if the contribution is still fuzzy
  • Read Method if the core idea matters
  • Read Results if the claim sounds strong and needs verification
  • Read Limitations or Discussion if tradeoffs matter

Avoid reading everything.

Markdown Output

Write a markdown file in the current workspace unless the user gave a different path.

Recommended filename:

text
trending-paper-digest-YYYY-MM-DD.md

Recommended structure:

md
# Trending Paper Digest

Date: YYYY-MM-DD
Window: Last 7 days
Source: deepxiv trending

## Executive Summary

- 2-4 bullets with the main themes across the trending list
- Mention the 1-3 most promising papers

## Papers Reviewed

### 1. Paper Title (`arXiv:xxxx.xxxxx`)

What it is about:
Short paragraph based mainly on `--brief`.

Why it matters:
- Bullet
- Bullet

Worth deeper reading?
Yes/Maybe/No, with one sentence.

If deeper review was done:

Sections checked:
- Introduction
- Method

Deeper notes:
Short paragraph with the key insight, evidence, or caveat.

### 2. ...

## Recommended Deep Dives

### Paper Title

- Why it stands out
- Which section to read next
- What question it could answer

## Cross-Cutting Trends

- Repeated themes
- Common methods
- Shared limitations or hype signals

Writing Rules

  • Keep the digest skimmable
  • Prefer short paragraphs and flat bullets
  • Separate "what it says" from "whether it is worth deeper reading"
  • Be explicit when a conclusion is based only on --brief
  • Be explicit when a conclusion is based on --head or a section read
  • Do not pretend to have verified claims you have not checked

Decision Rules

  • If briefs are enough for the user's request, stop there
  • Use --head only for the most promising papers
  • Use --section only after --head suggests a high-value section
  • Do not read full paper markdown unless the user explicitly asks for a full analysis

Minimal Example

bash
deepxiv trending --days 7 --limit 5 --json
deepxiv paper 2603.20639 --brief
deepxiv paper 2603.26221 --brief
deepxiv paper 2603.20639 --head
deepxiv paper 2603.20639 --section Introduction

Then write the digest as markdown and clearly label:

  • all reviewed papers
  • which papers were only briefed
  • which papers received deeper inspection

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

Files

Just SKILL.md in skills/deepxiv-trending-digest of DeepXiv/deepxiv_sdk.

Open the folder on GitHubat commit 80be0b1

Compare with similar skills

Deepxiv Trending Digest next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Deepxiv Trending Digest compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Deepxiv Trending Digest this skillDeepXiv/deepxiv_sdk804—~1.2kAutomated safety check: PassMIT
Experiment Log StandardizerYuan1z0825/nature-skills47k2 repos~942Automated safety check: PassMIT
Nature Readerjing1312/nature-figure-skill171—~2.8kAutomated safety check: PassMIT
Agsy Writing Stylefranklee16/academic-research-skills2231 repos~1kAutomated safety check: PassNone
Aeja Submissionbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.3kAutomated safety check: PassMIT
Design Harnesstigerless-labs/design-harness230—~4.2kAutomated safety check: PassMIT

Similar skills

  • Experiment Log Standardizer

    Yuan1z0825/nature-skills

    Turns uploaded photos, voice notes, text or local files into standardized experiment logs in Markdown with YAML frontmatter, optionally through Feishu CLI and Obsidian.

    47k GitHub starsUsed in 2 repos~942 tokens
    Research & ScienceAuto-check passed
  • Nature Reader

    jing1312/nature-figure-skill

    Build full-paper Chinese-English side-by-side, figure/table-aware, source-grounded Markdown readers for journal or conference papers from PDF, DOI, arXiv, publisher HTML, or pasted text.

    171 GitHub stars~2.8k tokensUpdated 1 mo ago
    Research & ScienceAuto-check passed
  • Agsy Writing Style

    franklee16/academic-research-skills

    A skill your agent uses when drafting or polishing an Agricultural Systems (AgSy) manuscript so it reads clearly for a systems-science audience, follows the journal's format, and meets front-matter…

    223 GitHub starsUsed in 1 repo~1k tokens
    Research & ScienceAuto-check passed
  • Aeja Submission

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when running the final pre-submission preflight for an American Economic Journal: Applied Economics (AEJ: Applied) manuscript via the AEA ScholarOne system — single-blind…

    1.2k GitHub stars~1.3k tokensUpdated 13 days ago
    Research & ScienceAuto-check passed
  • Design Harness

    tigerless-labs/design-harness

    A decision board for evidence-based calls — the human adjudicates, the agent runs the errands.

    230 GitHub stars~4.2k tokensUpdated 1 mo ago
    Research & ScienceAuto-check passed
  • 从论文 PDF 文件或论文 PDF URL 生成通俗易懂、图文并茂、带批判性评估的中文 Markdown 解读,并保存到当前项目的 markdown 目录。Use when the user asks to interpret,精读,解读,summarize,explain,analyze, or write an article from an academic paper PDF…

    8.6k GitHub stars~1.5k tokensUpdated yesterday
    Documents & OfficeAuto-check passed

More from DeepXiv/deepxiv_sdk

  • Deepxiv Baseline Table

    DeepXiv/deepxiv_sdk

    Build a markdown baseline table for a research topic using deepxiv search, brief, head, and experiment-section reads, extracting paper title, URL, open-source status, datasets, benchmark scores, and…

    804 GitHub stars~1.6k tokensUpdated 1 mo ago
    Auto-check passed
  • Deepxiv CLI

    DeepXiv/deepxiv_sdk

    Access academic papers (arXiv, PMC, bioRxiv, medRxiv) via CLI with semantic search and intelligent content extraction

    804 GitHub stars~4.1k tokensUpdated 1 mo ago
    Auto-check: notes

Questions about Deepxiv Trending Digest

What does Deepxiv Trending Digest do?

Summarize recent hot academic papers using deepxiv trending, brief, head, and section reads, then produce a markdown digest highlighting what each paper is about and which papers deserve deeper…. Deepxiv Trending Digest is an agent skill from DeepXiv/deepxiv_sdk. Summarize recent hot academic papers using deepxiv trending, brief, head, and section reads, then produce a markdown digest highlighting what each paper is about and which papers deserve deeper reading.

When should I use Deepxiv Trending Digest?

Deepxiv Trending Digest fits situations like: tasks that involve Markdown.

How do I install Deepxiv Trending Digest in Claude Code?

Run `npx skills add DeepXiv/deepxiv_sdk --skill deepxiv-trending-digest -a claude-code`. Or copy the skill folder (skills/deepxiv-trending-digest in DeepXiv/deepxiv_sdk) into .claude/skills/deepxiv-trending-digest in your project. Claude Code loads it when a task matches its description.

How do I install Deepxiv Trending Digest in Codex?

Run `npx skills add DeepXiv/deepxiv_sdk --skill deepxiv-trending-digest -a codex`. Or copy the skill folder (skills/deepxiv-trending-digest in DeepXiv/deepxiv_sdk) into .agents/skills/deepxiv-trending-digest in your project. Codex loads it when a task matches its description.

Can I use Deepxiv Trending 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 DeepXiv/deepxiv_sdk --skill deepxiv-trending-digest -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/deepxiv-trending-digest, .gemini/skills/deepxiv-trending-digest, .github/skills/deepxiv-trending-digest and .opencode/skills/deepxiv-trending-digest in your project.

What does Deepxiv Trending Digest need to run?

SKILL.md names no scripts, command-line tools or credentials: Deepxiv Trending Digest is instructions for the agent only.

Does Deepxiv Trending 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 Deepxiv Trending 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. Review the folder before installing.

What licence does Deepxiv Trending Digest use?

Deepxiv Trending 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 Deepxiv Trending Digest use?

About 1.2k tokens (SKILL.md is roughly 4.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Deepxiv Trending Digest?

Skills that share tags, products or a category with Deepxiv Trending Digest: Experiment Log Standardizer (Yuan1z0825/nature-skills, 47k stars), Nature Reader (jing1312/nature-figure-skill, 171 stars), Agsy Writing Style (franklee16/academic-research-skills, 223 stars) and Aeja Submission (brycewang-stanford/Awesome-Journal-Skills, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Deepxiv Trending Digest?

DeepXiv (a GitHub organization) maintains it in DeepXiv/deepxiv_sdk, which has 804 GitHub stars. The repository holds 3 skills in this directory. The repository was last updated on September 4, 2026.

Source: DeepXiv/deepxiv_sdk on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.