nature-literature-pipeline

Use it when:: You want new papers in your field found, ranked and summarized for you every day.
It does:: On a schedule, pulls candidates from arXiv, OpenAlex, Crossref and Semantic Scholar, scores them on six weighted dimensions and reads the top few.
You get:: A digest in Feishu, Telegram or another chat, with rank, score, methods, key results and commentary, plus de-duplicated notes in a local archive.
Unlike nature-academic-search:: That one searches once when you ask; this one keeps watching a topic.
Needs:: An agent scheduler, such as Hermes cron, on a machine that stays on, and a messaging target.

Daily runs depend on your agent's scheduler, such as Hermes cron, which runs locally, so the machine must stay on. Delivery needs a Feishu, Telegram or other messaging channel set up.

TL;DR

An automated literature-monitoring pipeline from the Nature skills repo. You tell the agent your research area, keywords, delivery target and archive path, then ask it to set up a daily job, such as 08:30 Beijing time with 30 candidates and the top 5 delivered. Each run searches arXiv, OpenAlex, Crossref and Semantic Scholar, falling back to the others when Semantic Scholar is down. A six-dimension score filters the candidates: topic match weighs 35, methodology 20, journal quality 15, and network relevance, applied value and archival value 10 each, with each dimension capped and totals recalculated. The top papers are read at full-text, abstract or metadata level, and each is tagged with which. The digest, whose template targets a Feishu group with Chinese field labels, gives rank, title, journal, score, a one-line takeaway, methods, key results and commentary. Archiving de-duplicates by DOI, arXiv and OpenAlex IDs, sorts papers into tiers you define and writes notes to a raw/ folder only, never to your wiki without approval. Keywords, weights, tiers, target and path all come from its config template.

Summarizes the skill at d774add.

npx skills add https://github.com/yuan1z0825/nature-skills --skill nature-literature-pipeline

skills.sh page Source on GitHub All skills from yuan1z0825/nature-skills

Total Downloads: 12,600 on skills.sh, Nov 9, 2026
Repo stars: 52,794 yuan1z0825/nature-skills
First seen: Jun 30, 2026 on skills.sh

Weekly Downloads

390

-58% over the 8 weeks to Nov 9

Weekly values

Week to	Installs
Sep 21	936
Sep 28	713
Oct 5	487
Oct 12	643
Oct 19	625
Oct 26	556
Nov 2	419
Nov 9	390

Category	category:science Research reproduction, financial data, charts and diagrams.
Type	type:workflow A multi-step process the agent follows: interview, debug, run a TDD loop, review.
Effect	effect:remote Its own steps change something outside your machine: post, send, deploy, provision, file issues, drive a website, or upload data to a service.
Needs	needs:account An account, API key or paid plan with an outside service.
Publisher	by:community Everyone else. Unverified vendor claims default to community.
Topics	research messaging
Stack	stack:arxiv stack:openalex stack:crossref stack:semantic-scholar stack:lark stack:telegram stack:hermes

SKILL.md

From yuan1z0825/nature-skills at d774add. Checked daily, last changed Nov 6, 2026.

Frontmatter

name: nature-literature-pipeline
description: |
  Complete automated literature discovery pipeline: multi-source search → six-dimension scoring → fine reading → formatted delivery → archival.
  Combines a configurable engine with daily cron-driven application layer. Works with Feishu, Telegram, or any messaging platform.
license: MIT
metadata:
  author: Jiahao8595
  hermes:
    tags: [research, literature, pipeline, cron, automation, discovery]
    related_skills: [nature-academic-search, nature-citation, arxiv, zotero]

Nature Literature Pipeline

A complete, production-tested automated literature pipeline. Not just "search for papers" — it's a structured engine that scores, classifies, reads, delivers, and archives research papers daily.

What It Does

Cron (daily trigger, e.g. 08:30)
  │
  ├─ ① SEARCH (30 candidates)
  │   arXiv / OpenAlex / Crossref / Semantic Scholar (auto-degradation)
  │
  ├─ ② COARSE FILTER (30 → 5)
  │   Six-dimension scoring: topic match × 35 + methodology × 20
  │   + journal quality × 15 + network relevance × 10
  │   + applied value × 10 + archival value × 10
  │
  ├─ ③ FINE READ (top 5)
  │   Abstract-level or full-text. Source level tagged:
  │   Full-text / Abstract only / Metadata only
  │
  ├─ ④ DELIVER
  │   Formatted digest to Feishu/Telegram/etc.
  │   🏅 rank | title | journal | ⭐ score | 💡 one-liner
  │   🔬 methods | 📊 key results | 🧭 commentary
  │
  └─ ⑤ ARCHIVE
      DOI/arXiv de-dup → classify → write notes → update index

Quick Start

After installing, tell your agent:

My research area is [X], keywords: [Y], deliver to [feishu group name], archive to [path]

The agent will configure keywords, delivery target, and archive path automatically.

Then set up a daily cron job:

Set up a daily literature push at 08:30 Beijing time, 30 candidates, top 5 delivered

Architecture

The skill is organized in two layers:

Layer	Purpose	Files
Engine	Scoring, classification, note templates, gap analysis	`references/scoring-system.md`, `references/gap-analysis.md`, `references/note-template.md`
Application	Daily cron pipeline, delivery formatting, archival workflow	`references/push-format.md`, `references/cron-setup.md`, `references/review-compilation-workflow.md`

Configuration

All domain-specific content is configurable:

Keywords — your research keywords (English + Chinese)
Scoring weights — adjust the six dimensions for your field
Classification rules — define your own tier system (A-E or custom)
Delivery target — Feishu group, Telegram channel, email, etc.
Archive path — local vault/wiki directory

A config template is provided in templates/literature-push-template.md.

Built-in Safeguards

Score validation: Each dimension capped, total recalculated — no 11/10 allowed
Triple de-duplication: DOI / arXiv ID / OpenAlex ID
Graceful degradation: Semantic Scholar down → auto-switch to OpenAlex + Crossref + arXiv
Read-only archive: Daily pipeline writes to raw/ literature directory only; never modifies wiki/knowledge base without user approval

Related Skills

nature-academic-search — ad-hoc literature search (complementary; this skill adds structured daily automation)
nature-citation — CNS citation export (for importing pipeline discoveries into manuscripts)
zotero — library management (for long-term organization of pipeline outputs)
arxiv — arXiv API (used as a search source)

References

Reference	Purpose
`references/scoring-system.md`	Six-dimension scoring rubric with weights, caps, and evaluation logic
`references/gap-analysis.md`	Methodology for identifying research gaps through systematic literature survey
`references/note-template.md`	Standardized literature note format with YAML frontmatter
`references/push-format.md`	Daily digest message template with field guidelines and example
`references/cron-setup.md`	Cron job creation, verification, and manual fallback procedures
`references/review-compilation-workflow.md`	End-to-end workflow for concentrated literature review writing

Pitfalls

Keyword drift: Review keywords monthly — research directions evolve
Score inflation: Subagents may inflate scores; always validate arithmetic
Duplicate creep: Classic papers will reappear; maintain a dedup index
Wiki safety: Pipeline writes to raw/ only; wiki integration is manual
Cron locality: Hermes cron is local, not cloud — machine must be running