nature-reader

Yuan1z0825/nature-skills · Agent Skill

從 PDF、DOI 或 HTML 建立學術論文的雙語結構化 Markdown 閱讀器,保留圖表和方程式。

前往安裝 ↓

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發布者Yuan1z0825社群
儲存庫Yuan1z0825/nature-skills ↗
技能資料夾nature-reader
星39,583
附帶檔案2
授權Apache-2.0
最近更新2026年8月7日
連結技能原始碼 ↗ · 儲存庫 ↗

Mozgi 檢查

我們在技能檔案中發現的內容。詳細資訊需訂閱。

安全性
低風險 · 未發現明顯風險 — 完整報告會顯示細節
相容性
僅含說明 — 適用於多數代理
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安裝

技能就是一個含 SKILL.md 的資料夾。選擇你的代理,在專案根目錄的終端機(macOS、Linux 或 Windows 的 Git Bash)執行指令。

把提示貼到 Claude、Codex 或其他助理:它會自行檢查並安裝技能。

Install the “nature-reader” skill from mozgi.io (https://mozgi.io/skills/nature-reader/) for me.

1. Download the archive: https://mozgi.io/skills/nature-reader/download
   If it fails, take the skill folder from the source: https://github.com/Yuan1z0825/nature-skills/tree/main/skills/nature-reader
2. Read SKILL.md and the other files. Check the skill is safe: no hidden commands, no sending data elsewhere, no scripts doing something other than described. If anything looks suspicious, stop and tell me.
3. Put the “nature-reader” folder into your agent's skills folder: .claude/skills/ for Claude Code, .agents/skills/ for Codex, .cursor/skills/ for Cursor, .gemini/skills/ for Gemini CLI. Inside the project if we are in one, otherwise in the home folder (~/.claude/skills/ etc.).
4. Make sure <skills folder>/nature-reader/SKILL.md exists.
5. Briefly tell me what this skill does and offer to try it on my task.

If you cannot do a step yourself, tell me what to click or type.

技能檔案

2 個檔案 下載 ZIP

安裝前請先檢視 SKILL.md 與相關檔案。點擊檔案即可預覽。

SKILL.md 內容

作者原文 · 唯讀

Full-Paper Markdown Reader — Router

This skill is split into two layers:

  • A static layer under static/ that holds versioned, reusable content fragments (core principles, the reading workflow, the output contract, and per-source-format extraction guidance).
  • A dynamic layer (this file plus manifest.yaml) that detects the request's source format and loads only the fragments needed for the current job.

Do not try to apply the reading logic from memory or from this router. Always load fragments from disk as described below.

Routing protocol

Follow these five steps every time the skill is invoked.

1. Load the manifest and the core layer

Read manifest.yaml ↗. It declares the source_format axis, the allowed values, and the file paths each value maps to.

Also read every file listed under always_load. These hold the core principles, the reading workflow, and the output contract that apply to every reading job, plus the shared Terminology Ledger used to build the recurring-term table.

2. Detect the source format

Decide the source_format value using the manifest's detect: hint and the user's input:

  • pdf-text — selectable-text PDF. Default.
  • scanned-pdf — image-only or OCR-required PDF.
  • html — publisher or preprint HTML page.
  • doi-arxiv — a bare DOI or arXiv link that must be resolved first.
  • pasted-text — pasted prose or notes with no retrievable original layout.

State the detected value in one short line to the user before processing, so they can correct you cheaply. A source may map to more than one value (for example a DOI that resolves to a PDF); load the resolution fragment first, then the fragment for the resolved artifact.

3. Load the matching fragment(s)

Read the file mapped for the detected source_format. Do not read every fragment in static/. Load only what step 2 selected.

4. Build the reader using the loaded material

Apply the loaded fragments in this priority order:

1. Core principles (core/principles.md) — bilingual reader by default, translate for meaning, never degrade to a summary, copyright caution.

2. Source-format fragment — how to extract text, figures, and tables for this input.

3. Reading workflow (core/workflow.md) — the six-step source-map-first process.

4. Output contract (core/output-contract.md) — required files and the pre-response verification checklist.

Build the Terminology Ledger as you translate (../nature-shared/core/terminology-ledger.md); it becomes the paper.md recurring-term table and the source_map.json glossary.

If constraints prevent full processing, still create a draft reader and label missing pages, figures, or low-confidence crops in translation_notes.md. Do not switch to summary mode.

5. Reach for references only when needed

The files under references/ are deep references, not defaults. Open them on demand per the references.on_demand table in the manifest:

  • detailed figure/table cropping and placement → references/figure-extraction.md.
  • exact field schema for paper.md / source_map.json → references/output-spec.md.
  • equations, mathematical expressions, chemical formulae, or image-only formulae → references/equation-handling.md.
  • answering follow-up questions with source citations → references/grounding-rules.md.

Why this split

  • The static layer is versioned and reviewable. Adding a new source format is one new fragment plus one manifest line.
  • The dynamic layer keeps each invocation cheap: only the fragment relevant to this input enters context.
  • The router itself is short on purpose. Update fragments, not this file, when adding scope.
  • This structure mirrors nature-writing and nature-polishing so shared content lives in nature-shared/.

常見問題

nature-reader 技能有什麼用途?

從 PDF、DOI 或 HTML 建立學術論文的雙語結構化 Markdown 閱讀器,保留圖表和方程式。

如何安裝 nature-reader?

打開本頁的「安裝」區塊並選擇你的代理 — Claude Code、Codex、Cursor 或 Gemini CLI:那裡有把技能資料夾複製到正確位置的現成指令。也可以複製「透過助理」分頁中的提示,讓助理自行檢查並安裝技能。

nature-reader 適用哪些 AI 模型?

技能是純 Markdown 指示(Agent Skills 格式),因此 nature-reader 適用任何讀取 SKILL.md 的代理:Claude Code、Codex、Cursor、Gemini CLI、GitHub Copilot、OpenCode 等。只有在任務符合技能描述時,模型才會載入指示。

nature-reader 是免費的嗎?

此技能由 Yuan1z0825 公開發布,採用 Apache-2.0 授權。技能本身免費 — 你只需向 AI 供應商支付實際使用的 token 費用。

安裝技能安全嗎?

技能是代理會遵循的指示,安裝前請閱讀 SKILL.md 及相關檔案。技能資料夾中的腳本只有在代理執行時才會運行 — 留意它的動作,不要授予多餘權限。

技能和 MCP 伺服器或外掛有何不同?

MCP 伺服器或外掛為模型提供新工具 — 會執行並回傳結果的程式碼。技能提供的是知識與流程:如何處理任務、要遵循哪些步驟、好的成果長什麼樣子。它不需要伺服器或 API 金鑰。

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