Larksnap Fetch
AmbroseX/larksnap
把飞书/Lark 文档或普通网页抓取并保存到本地，也能编辑用户有权限的飞书文档，并用已登录浏览器执行一次网页搜索。用户要求下载、导出、抓取、写入飞书文档，或联网搜索资料/参考链接时使用本技能，即使没有提到 larksnap。底层通过技能自带 daemon 桥接已登录的 larksnap 浏览器扩展；arXiv 使用独立脚本。
Runs a daily literature pipeline: multi-source search, six-dimension scoring, fine reading, formatted delivery to a chat channel and archival of the notes.
Install Literature Discovery Pipeline
$ npx skills add Yuan1z0825/nature-skills --skill nature-literature-pipeline -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Yuan1z0825/nature-skills nature-literature-pipeline --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/Yuan1z0825/nature-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/nature-literature-pipeline .claude/skills/nature-literature-pipeline && rm -rf skills-srcUse ~/.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/
Install the "nature-literature-pipeline" agent skill from https://github.com/Yuan1z0825/nature-skills/tree/main/skills/nature-literature-pipeline into .claude/skills/nature-literature-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nature-literature-pipeline", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/Yuan1z0825/nature-skills/tree/main/skills/nature-literature-pipelineType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add Yuan1z0825/nature-skills --skill nature-literature-pipeline -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Yuan1z0825/nature-skills nature-literature-pipeline --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Yuan1z0825/nature-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/nature-literature-pipeline .agents/skills/nature-literature-pipeline && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "nature-literature-pipeline" agent skill from https://github.com/Yuan1z0825/nature-skills/tree/main/skills/nature-literature-pipeline into .agents/skills/nature-literature-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nature-literature-pipeline", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Yuan1z0825/nature-skills --skill nature-literature-pipeline -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Yuan1z0825/nature-skills nature-literature-pipeline --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Yuan1z0825/nature-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/nature-literature-pipeline .cursor/skills/nature-literature-pipeline && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "nature-literature-pipeline" agent skill from https://github.com/Yuan1z0825/nature-skills/tree/main/skills/nature-literature-pipeline into .cursor/skills/nature-literature-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nature-literature-pipeline", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/Yuan1z0825/nature-skills.git --path skills/nature-literature-pipeline--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Yuan1z0825/nature-skills --skill nature-literature-pipeline -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Yuan1z0825/nature-skills nature-literature-pipeline --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Yuan1z0825/nature-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/nature-literature-pipeline .gemini/skills/nature-literature-pipeline && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "nature-literature-pipeline" agent skill from https://github.com/Yuan1z0825/nature-skills/tree/main/skills/nature-literature-pipeline into .gemini/skills/nature-literature-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nature-literature-pipeline", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install Yuan1z0825/nature-skills nature-literature-pipelineInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add Yuan1z0825/nature-skills --skill nature-literature-pipeline -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Yuan1z0825/nature-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/nature-literature-pipeline .github/skills/nature-literature-pipeline && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "nature-literature-pipeline" agent skill from https://github.com/Yuan1z0825/nature-skills/tree/main/skills/nature-literature-pipeline into .github/skills/nature-literature-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nature-literature-pipeline", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Yuan1z0825/nature-skills --skill nature-literature-pipeline -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Yuan1z0825/nature-skills nature-literature-pipeline --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Yuan1z0825/nature-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/nature-literature-pipeline .opencode/skills/nature-literature-pipeline && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "nature-literature-pipeline" agent skill from https://github.com/Yuan1z0825/nature-skills/tree/main/skills/nature-literature-pipeline into .opencode/skills/nature-literature-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nature-literature-pipeline", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
nature-literature-pipeline- GitHub stars
- 47k
- Used in
- 2 other repos
- Token cost
- ~1.2k tokens
- SKILL.md length
- 339 words
- Files
- 12 (incl. references)
- Skills in repo
- 23
- Repo updated
- First seen
- Licence
- MIT
At a glance
Runs a daily literature pipeline: multi-source search, six-dimension scoring, fine reading, formatted delivery to a chat channel and archival of the notes.
- Works in 5 steps: Keyword drift: Review keywords monthly —… → Score inflation: Subagents may inflate… → Duplicate creep: Classic papers will… → …
- Getting a scored daily digest of new papers in a research area
- SKILL.md covers What It Does, Quick Start, Architecture and Configuration, plus 4 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
The skill combines a configurable engine with a daily cron-driven application layer. The engine holds scoring, classification, note templates and gap analysis, while the application layer covers the daily pipeline, delivery formatting and archival. A daily trigger searches for candidate papers, scores them on six dimensions, reads the best ones closely, delivers a formatted push and archives the notes. Delivery works with Feishu, Telegram or other messaging platforms, and the archive is a local vault or wiki directory.
To start, you tell the agent your research area, keywords, delivery group and archive path, then ask for a daily push at a chosen time, for example 30 candidates with the top 5 delivered. Keywords in English and Chinese, scoring weights, classification tiers, delivery target and archive path are all configurable, with a template in templates/literature-push-template.md.
Built-in safeguards cap each score dimension and recalculate totals, remove duplicates by DOI, arXiv ID and OpenAlex ID, fall back from Semantic Scholar to OpenAlex, Crossref and arXiv when it is down, and keep the daily archive confined to the raw literature directory, so the wiki is never changed without your approval. Related skills cover ad-hoc search, citation export, Zotero and arXiv.
When your agent uses it
- Getting a scored daily digest of new papers in a research area
- Archiving reading notes into a local vault or wiki
- Setting up a scheduled push of top papers to a Feishu or Telegram channel
Example prompts
- “My research area is solid-state batteries; deliver a daily top-5 paper push to our Feishu group and archive notes to ./vault/raw.”
- “Set up a daily literature push at 08:30 Beijing time with 30 candidates and the top 5 delivered.”
- “Adjust the scoring weights so methods papers rank higher.”
Requirements
- A scheduler for the daily cron job
- A messaging channel such as Feishu or Telegram
- Network access to Semantic Scholar, OpenAlex, Crossref and arXiv
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- 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
What it can do on your machine
Read from SKILL.md and the folder at commit e605b35. 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.
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
Literature Discovery Pipeline loads about 1.2k tokens when it runs, and up to ~6.3k if it reads all its reference files. Until then it costs about 74 tokens; SKILL.md has 339 words of instructions outside code blocks.
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 Yuan1z0825/nature-skills at commit e605b35, republished under its MIT licence (© Yuan1z0825). 339 words, ~1,163 tokens.
Download SKILL.mdSave it as
.claude/skills/nature-literature-pipeline/SKILL.md (or your agent's skills folder). This skill also uses 11 other files; get the full folder from GitHub.- 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
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 indexQuick 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 deliveredArchitecture
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
© Yuan1z0825, 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 11 other files (references) in skills/nature-literature-pipeline of Yuan1z0825/nature-skills.
- SKILL.md
- README.md
- README_EN.md
- agents/openai.yaml
- manifest.yaml
- references/cron-setup.md
- references/gap-analysis.md
- references/note-template.md
- references/push-format.md
- references/review-compilation-workflow.md
- references/scoring-system.md
- templates/literature-push-template.md
Open the folder on GitHubat commit e605b35
Used in 2 other repositories
We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in Yuan1z0825/nature-skills, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Literature Discovery Pipeline 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Literature Discovery Pipeline this skillYuan1z0825/nature-skills | 47k | 2 repos | ~1.2k | Automated safety check: Pass | MIT | |
| Larksnap FetchAmbroseX/larksnap | 291 | — | ~923 | Automated safety check: Pass | Apache-2.0 | |
| Literature Reviewneflibata-feng/MyArxiv-Agent | 126 | 20 repos | ~5.9k | Automated safety check: Notes | MIT | |
| Paper Research on arXivXiaomiMiMo/MiMo-Code | 14k | — | ~1.5k | Automated safety check: Pass | MIT | |
| Literature Review AgentAr9av/PaperOrchestra | 679 | 1 repos | ~5.2k | Automated safety check: Pass | Custom licence | |
| Paper AutoratersAr9av/PaperOrchestra | 679 | 1 repos | ~1.6k | Automated safety check: Pass | Custom licence |
Similar skills
Literature Review
neflibata-feng/MyArxiv-Agent
Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.).
Paper Research on arXiv
XiaomiMiMo/MiMo-Code
Searches arXiv, fetches metadata, generates BibTeX, downloads PDFs and finds citations and related papers using a bundled Python script.
Literature Review Agent
Ar9av/PaperOrchestra
Step 3 of the PaperOrchestra pipeline (arXiv:2604.05018). An agent skill from Ar9av/PaperOrchestra.
Paper Autoraters
Ar9av/PaperOrchestra
Run the four paper-quality autoraters from PaperOrchestra (arXiv:2604.05018, App.
Daily arXiv Paper Brief
juliye2025/evil-read-arxiv
Searches arXiv for recent papers matching your research interests, scores them and writes a daily recommendation note into an Obsidian vault.
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Related
Questions about Literature Discovery Pipeline
What does Literature Discovery Pipeline do?
Runs a daily literature pipeline: multi-source search, six-dimension scoring, fine reading, formatted delivery to a chat channel and archival of the notes. The skill combines a configurable engine with a daily cron-driven application layer. The engine holds scoring, classification, note templates and gap analysis, while the application layer covers the daily pipeline, delivery formatting and archival.
When should I use Literature Discovery Pipeline?
Literature Discovery Pipeline fits situations like: getting a scored daily digest of new papers in a research area; archiving reading notes into a local vault or wiki; setting up a scheduled push of top papers to a Feishu or Telegram channel.
How do I install Literature Discovery Pipeline in Claude Code?
Run `npx skills add Yuan1z0825/nature-skills --skill nature-literature-pipeline -a claude-code`. Or copy the skill folder (skills/nature-literature-pipeline in Yuan1z0825/nature-skills) into .claude/skills/nature-literature-pipeline in your project. Claude Code loads it when a task matches its description.
How do I install Literature Discovery Pipeline in Codex?
Run `npx skills add Yuan1z0825/nature-skills --skill nature-literature-pipeline -a codex`. Or copy the skill folder (skills/nature-literature-pipeline in Yuan1z0825/nature-skills) into .agents/skills/nature-literature-pipeline in your project. Codex loads it when a task matches its description.
Can I use Literature Discovery Pipeline 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 Yuan1z0825/nature-skills --skill nature-literature-pipeline -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/nature-literature-pipeline, .gemini/skills/nature-literature-pipeline, .github/skills/nature-literature-pipeline and .opencode/skills/nature-literature-pipeline in your project.
What does Literature Discovery Pipeline need to run?
SKILL.md names no scripts, command-line tools or credentials: Literature Discovery Pipeline is instructions for the agent only. Our summary lists: A scheduler for the daily cron job; A messaging channel such as Feishu or Telegram; Network access to Semantic Scholar, OpenAlex, Crossref and arXiv.
Does Literature Discovery Pipeline 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 Literature Discovery Pipeline 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 Literature Discovery Pipeline use?
Literature Discovery Pipeline is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Literature Discovery Pipeline use?
About 1.2k tokens (SKILL.md is roughly 4.7k 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 5.2k tokens, read only when the agent opens those files.
What are the alternatives to Literature Discovery Pipeline?
Skills that share tags, products or a category with Literature Discovery Pipeline: Larksnap Fetch (AmbroseX/larksnap, 291 stars), Literature Review (neflibata-feng/MyArxiv-Agent, 126 stars), Paper Research on arXiv (XiaomiMiMo/MiMo-Code, 14k stars) and Literature Review Agent (Ar9av/PaperOrchestra, 679 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Literature Discovery Pipeline?
Yuan1z0825 (a GitHub user) maintains it in Yuan1z0825/nature-skills, which has 47,222 GitHub stars. The repository holds 23 skills in this directory. The repository was last updated on October 11, 2026.
Source: Yuan1z0825/nature-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.