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Yuan1z0825/nature-skills/skills/nature-literature-pipeline/SKILL.md

nature-literature-pipeline

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.

Source repository stars: 33,262
Declared platforms: 0
Static risk flags: 0
Last source update: 2026-08-04
Source checked: 2026-08-04

Decision Compatibility Install Workflow Permissions Evidence Source

Decision brief

What it does—and where it fits

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.

Best for

Not for

Tasks that require unconfirmed production actions or broad system permissions.
Environments where the pinned source and install steps cannot be inspected.

Compatibility matrix

Platform support, with evidence labels

Platform	Status	Evidence	What to check
Codex	Not declared	No explicit evidence	Portability before use
Claude Code	Not declared	No explicit evidence	Portability before use
Cursor	Not declared	No explicit evidence	Portability before use
Gemini CLI	Not declared	No explicit evidence	Portability before use

Open the compatibility checker

Installation

Inspect first. Install second.

The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.

Source-detected install commandSource

npx skills add https://github.com/Yuan1z0825/nature-skills --skill "skills/nature-literature-pipeline"

Safe inspection promptEditorial

Inspect the Agent Skill "nature-literature-pipeline" from https://github.com/Yuan1z0825/nature-skills/blob/b79c022946b7bf59a30655bee726444dccf199a9/skills/nature-literature-pipeline/SKILL.md at commit b79c022946b7bf59a30655bee726444dccf199a9. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.

Workflow

What the source asks the agent to do

01
Quick Start
After installing, tell your agent:
After installing, tell your agent:The agent will configure keywords, delivery target, and archive path automatically.Then set up a daily cron job:
02
What It Does
Review the “What It Does” section in the pinned source before continuing.
Review and apply the “What It Does” source section.
03
Architecture
The skill is organized in two layers:
The skill is organized in two layers:
04
Configuration
All domain-specific content is configurable:
Keywords — your research keywords (English + Chinese)Scoring weights — adjust the six dimensions for your fieldClassification rules — define your own tier system (A-E or custom)

Permission review

Static risk signals and limitations

No configured static risk pattern was detected

This is not proof of safety. Runtime behavior, indirect dependencies, and hidden external systems are outside the static scan.

Evidence record

Why each signal appears

EvidenceSourceComputedTestedEditorial

Signal	Value	Evidence type	Meaning
Quality score	84/100	Computed	Documentation, specificity, maintenance, and trust rules
Repository stars	33,262	Source	Repository attention, not individual Skill quality
Compatibility	0 platforms	Source	Declared in the catalog source record
Usage guide	automated source guide	Editorial	Generated or reviewed according to the visible evidence level

Pinned source

Provenance and original SKILL.md

Repository: Yuan1z0825/nature-skills
Skill path: skills/nature-literature-pipeline/SKILL.md
Commit: b79c022946b7bf59a30655bee726444dccf199a9
License: Apache-2.0
Collected: 2026-08-04
Default branch: main

View the original SKILL.md

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

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