deepxiv-trending-digest

deepxiv-trending-digest is a skill for Claude Code, Codex from DeepXiv/deepxiv_sdk. It costs 45 tokens per session (1,180 once invoked), scanned A, original, MIT.

A workflow for creating a concise digest of recently popular academic papers using the DeepXiv paper service. It first finds trending papers, then summarizes selected papers and reads only the sections needed for closer review.

In plain words
What is it for?
Making recent-paper roundups, summarizing what each paper does, inspecting paper structure, reading relevant sections, and recommending papers for further study.
Why use it?
It reduces the work of scanning many new papers and makes it easier to decide which ones deserve a deeper read.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Making recent-paper roundups, summarizing what each paper does, inspecting paper structure, reading relevant sections, and recommending papers for further study.

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Install with agentmods
npx agentmods add skills/deepxiv/deepxiv_sdk/deepxiv-trending-digest
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add DeepXiv/deepxiv_sdk --skill deepxiv-trending-digest
Clone the repo
git clone --depth 1 https://github.com/DeepXiv/deepxiv_sdk

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for deepxiv-trending-digest

README.md
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Your own site
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Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

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Your own site · 80×15
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Per session 45 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,180 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00045 $0.01180
Opus 5 $0.00023 $0.00590
Sonnet 5 $0.00009 $0.00236
Haiku 4.5 $0.00005 $0.00118

Measured 12d ago against content hash a16ff8ff07c0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

deepxiv-trending-digest scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/deepxiv-trending-digest/SKILL.md · 201 lines

How it starts

The opening of the file, as written. The whole thing — 201 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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

1. Pull trending papers

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

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:

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:

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

Read the full file on GitHub · 201 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 201 lines · 45 tokens per session scan A a16ff8ff07c0

Subscribe to this mod's changes

deepxiv-trending-digest is a skill published in the GitHub repository DeepXiv/deepxiv_sdk (782 stars, last pushed 8d ago), licensed MIT. It adds 45 tokens to every session and 1,180 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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