Agent skill

Paper Interpretation

GPL-2.0Auto-check passedDocuments & Office

Install Paper Interpretation

skills CLI

$ npx skills add digoal/blog --skill paper-interpretation -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install digoal/blog paper-interpretation --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/digoal/blog.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/paper-interpretation .claude/skills/paper-interpretation && rm -rf skills-src

Use ~/.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/

Paste into Claude Code

Install the "paper-interpretation" agent skill from https://github.com/digoal/blog/tree/master/skills/paper-interpretation into .claude/skills/paper-interpretation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "paper-interpretation", 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

$skill-installer install https://github.com/digoal/blog/tree/master/skills/paper-interpretation

Type 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.

skills CLI

$ npx skills add digoal/blog --skill paper-interpretation -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install digoal/blog paper-interpretation --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/digoal/blog.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/paper-interpretation .agents/skills/paper-interpretation && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "paper-interpretation" agent skill from https://github.com/digoal/blog/tree/master/skills/paper-interpretation into .agents/skills/paper-interpretation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "paper-interpretation", 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.

skills CLI

$ npx skills add digoal/blog --skill paper-interpretation -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install digoal/blog paper-interpretation --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/digoal/blog.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/paper-interpretation .cursor/skills/paper-interpretation && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "paper-interpretation" agent skill from https://github.com/digoal/blog/tree/master/skills/paper-interpretation into .cursor/skills/paper-interpretation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "paper-interpretation", 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

$ gemini skills install https://github.com/digoal/blog.git --path skills/paper-interpretation

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add digoal/blog --skill paper-interpretation -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install digoal/blog paper-interpretation --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/digoal/blog.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/paper-interpretation .gemini/skills/paper-interpretation && rm -rf skills-src

Use ~/.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/

Paste into Gemini CLI

Install the "paper-interpretation" agent skill from https://github.com/digoal/blog/tree/master/skills/paper-interpretation into .gemini/skills/paper-interpretation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "paper-interpretation", 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.

GitHub CLI

$ gh skill install digoal/blog paper-interpretation

Installs 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).

skills CLI

$ npx skills add digoal/blog --skill paper-interpretation -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/digoal/blog.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/paper-interpretation .github/skills/paper-interpretation && rm -rf skills-src

Use ~/.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/

Paste into GitHub Copilot

Install the "paper-interpretation" agent skill from https://github.com/digoal/blog/tree/master/skills/paper-interpretation into .github/skills/paper-interpretation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "paper-interpretation", 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.

skills CLI

$ npx skills add digoal/blog --skill paper-interpretation -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install digoal/blog paper-interpretation --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/digoal/blog.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/paper-interpretation .opencode/skills/paper-interpretation && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "paper-interpretation" agent skill from https://github.com/digoal/blog/tree/master/skills/paper-interpretation into .opencode/skills/paper-interpretation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "paper-interpretation", 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: paper-interpretation
GitHub stars: 8.6k
Token cost: ~1.5k tokens
SKILL.md length: 709 words
Files: 4 (incl. scripts, references)
Skills in repo: 98
Repo updated: Sep 28, 2026
First seen: Oct 7, 2026
Licence: GPL-2.0

At a glance

Works in 5 steps: 论文定位 → 前置知识地图 → 论文精读 → …
The user asks to interpret
SKILL.md covers Goal, Intake, Extraction Workflow and Reading Checklist, plus 4 more sections
Runs Python scripts from its folder; calls python3

What it does

Paper Interpretation is an agent skill from digoal/blog. 从论文 PDF 文件或论文 PDF URL 生成通俗易懂、图文并茂、带批判性评估的中文 Markdown 解读，并保存到当前项目的 markdown 目录。Use when the user asks to interpret,精读,解读,summarize,explain,analyze, or write an article from an academic paper PDF, arXiv PDF, conference paper PDF, journal paper PDF, or local/remote PDF URL.

Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `agents/openai.yaml`, `references/article-template.md` and `scripts/extract_paper_assets.py`).

It sits in Documents & Office, covering PDF, Query optimization and Blog and article writing. It works with arXiv. The repository describes itself as: AI,Opensource,Database,Business,Finance,Minds. git clone --depth 1 https://github.com/digoal/blog. The licence is GPL-2.0.

When your agent uses it

The user asks to interpret
Write an article from an academic paper PDF
Conference paper PDF
Journal paper PDF

Example prompts

“/paper-interpretation”

Requirements

Python 3

Workflow steps

5 steps, taken from the step headings in SKILL.md.

论文定位
前置知识地图
论文精读
术语解释
批判性评估：论文强在哪里，边界在哪里

What it can do on your machine

Read from SKILL.md and the folder at commit 69fb793. 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
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
- python3
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

Paper Interpretation loads about 1.5k tokens when it runs, and up to ~1.9k if it reads all its reference files. Until then it costs about 73 tokens; SKILL.md has 709 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~73
When it runs · the whole SKILL.md, loaded when a task matches: ~1.5k
With references · SKILL.md plus every file in references/, read only if the agent opens them: ~1.9k

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); the scripts in this folder are not scanned.

SKILL.md

The full file from digoal/blog at commit 69fb793, republished under its GPL-2.0 licence (© digoal). 709 words, ~1,516 tokens.

Download SKILL.mdSave it as .claude/skills/paper-interpretation/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.

name: paper-interpretation
description: 从论文 PDF 文件或论文 PDF URL 生成通俗易懂、图文并茂、带批判性评估的中文 Markdown 解读，并保存到当前项目的 markdown 目录。Use when the user asks to interpret,精读,解读,summarize,explain,analyze, or write an article from an academic paper PDF, arXiv PDF, conference paper PDF, journal paper PDF, or local/remote PDF URL.

Paper Interpretation

Goal

Read the whole paper, including text, tables, figures, captions, appendices, and experiment details, then write a Chinese Markdown article that helps non-specialists understand the paper while preserving its academic and industrial value.

Always save the final Markdown under the current project's markdown/ directory. Create the directory if missing. Use a descriptive filename derived from the paper title, for example markdown/论文标题-通俗解读.md.

Intake

Accept either:

A local PDF path.
A PDF URL.

If the user gives a URL, download the PDF or use scripts/extract_paper_assets.py to download and extract it. If the PDF is scanned or extraction is incomplete, use OCR or available PDF/image tooling before writing. Do not rely only on abstract/introduction unless the PDF cannot be fully processed; state any limitation explicitly.

Extraction Workflow

Use the helper script when useful:

bash

python3 /Users/digoal/.codex/skills/paper-interpretation/scripts/extract_paper_assets.py INPUT_PDF_OR_URL --out .paper-work

The script creates:

paper.pdf for the normalized PDF.
paper_text.md with page-level text.
paper_tables.md with table candidates when pdfplumber is available.
figures/ with extracted embedded images when PyMuPDF is available.
manifest.json with extraction status and warnings.

Read the extracted files and inspect important figures/tables directly when they carry evidence, architecture, or results. If a library is unavailable, use other local tools if present; otherwise continue with the available extraction and mention the gap only if it affects confidence.

Reading Checklist

Before writing, identify:

Paper title, authors, venue/date when available.
Research problem and practical motivation.
Prior methods or baselines the paper contrasts against.
Proposed method, system architecture, algorithm, data, or theory.
Main experiments, metrics, datasets, tables, and figures.
Claimed academic contributions and industrial implications.
Assumptions, limitations, failure cases, and future work.

Article Structure

Write in Chinese. Make the result accessible, but do not dilute technical substance.

1. 论文定位

Start by answering "这是什么、跟我有什么关系、值不值得读":

Use 1-3 sentences to explain the real-world problem.
State academic value: what gap it fills or what new capability/evidence it adds.
State industrial value: where it can be used or what decision it can improve.
Give one intuitive analogy tailored to the paper. Avoid reusing examples blindly; for a multi-agent finance paper, an analogy like "给 AI 配了一个完整的投资团队" is appropriate.

2. 前置知识地图

Build a prerequisite knowledge map:

text

核心概念（必须懂） -> 支撑概念（有助于理解） -> 扩展概念（感兴趣再看）

For each important concept, explain with:

A chart or structured list.
An analogy.
A concrete example.

Use Mermaid when it improves clarity:

mermaid

flowchart LR
  A["核心概念"] --> B["支撑概念"]
  B --> C["扩展概念"]

3. 论文精读

Use the 5W1H frame and map it to the paper:

问题	对应论文结构	写作要求
Why：为什么要做这个研究？	Introduction / Motivation	讲清痛点和旧方法不足
What：提出了什么方法/系统？	Method / Architecture	用一句话先讲总方案
How：具体怎么实现？	Technical Details	拆成模块、流程、公式或伪代码
So What：结果怎么样？	Experiments / Results	引用关键表格/图/指标，解释数字意味着什么
Now What：对我们意味着什么？	Value / Discussion	总结工业和学术启发

Prefer comparison over isolated explanation:

Compare with prior methods or baselines.
Compare with a reader's intuitive expectation.
Explain what changes in the workflow, cost, accuracy, robustness, or scalability.

Show full SKILL.md (273 more words)Show less

4. 术语解释

Include a glossary for important terms. Use this template:

markdown

**Term（中文名）**
- 是什么：...
- 为什么重要：...
- 现实类比：...

Explain why the term is named that way when useful. Keep terms short and selective; prioritize terms required to understand the paper.

5. 批判性评估：论文强在哪里，边界在哪里

Evaluate, do not merely praise:

Which assumptions must hold in real deployments?
Are datasets, baselines, metrics, ablations, or statistical claims convincing?
Where might the method fail?
What cost, latency, safety, privacy, reproducibility, or integration risks exist?
What future improvements are realistic?

Separate paper claims from your inference. Use wording like "论文证明了..." for supported claims and "可推断..." for reasoned extrapolation.

Visual Requirements

Use Markdown-supported visuals at key points:

Mermaid for process, architecture, concept maps, causal chains, and experiment flow.
Markdown tables for comparisons, result interpretation, limitations, and term dictionaries.
Simple SVG only when a static diagram is clearer than Mermaid.
Text diagrams when they are more readable than formal charts.

Do not add decorative diagrams. Every visual must help explain a concept, method, result, or critique.

Source Discipline

Cite page numbers, section names, table numbers, or figure numbers whenever possible.
Do not invent results, claims, datasets, or author intent.
If extraction is incomplete, clearly label uncertain parts.
Preserve important formulas or algorithms, but explain them in plain language.
If the paper has supplementary material or appendices inside the PDF, include relevant evidence from them.

Output Checklist

The final Markdown must include:

Title.
Paper metadata.
1-3 sentence overview.
Academic value and industrial value.
Knowledge map.
Problem-solution-validation deep read.
Key figure/table interpretations.
Term glossary.
Critical evaluation and future directions.
References/source notes pointing back to paper sections, pages, figures, or tables.

After saving, report the absolute output path and any extraction limitations.

Files

SKILL.md and 3 other files (scripts, references) in skills/paper-interpretation of digoal/blog.

SKILL.md
agents/openai.yaml
references/article-template.md
scripts/extract_paper_assets.py

Open the folder on GitHubat commit 69fb793

Compare with similar skills

Paper Interpretation 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.

Paper Interpretation compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Paper Interpretation this skilldigoal/blog	8.6k	—	~1.5k	Automated safety check: Pass	GPL-2.0	11 days ago
Fulltext RetrievalAperivue/medsci-skills	329	—	~1.9k	Automated safety check: Pass	MIT	3 days ago
Paper LensYSQ-boop/paper-lens	101	—	~1.3k	Automated safety check: Pass	Apache-2.0	9 days ago
Paper Interpreterchujianyun/skills	740	—	~810	Automated safety check: Pass	Custom licence	14 days ago
Omh Paper Learningrlaope/oh-my-hermes	3.2k	—	~2.2k	Automated safety check: Pass	MIT	yesterday
Paper2htmlcnfjlhj/ai-collab-playbook	452	—	~2.4k	Automated safety check: Pass	None	24 days ago

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Works with

arXiv

Questions about Paper Interpretation

What does Paper Interpretation do?

从论文 PDF 文件或论文 PDF URL 生成通俗易懂、图文并茂、带批判性评估的中文 Markdown 解读，并保存到当前项目的 markdown 目录。Use when the user asks to interpret,精读,解读,summarize,explain,analyze, or write an article from an academic paper PDF…. Paper Interpretation is an agent skill from digoal/blog. 从论文 PDF 文件或论文 PDF URL 生成通俗易懂、图文并茂、带批判性评估的中文 Markdown 解读，并保存到当前项目的 markdown 目录。Use when the user asks to interpret,精读,解读,summarize,explain,analyze, or write an article from an academic paper PDF, arXiv PDF, conference paper PDF, journal paper PDF, or local/remote PDF URL.

When should I use Paper Interpretation?

Paper Interpretation fits situations like: the user asks to interpret; write an article from an academic paper PDF; conference paper PDF; journal paper PDF.

How do I install Paper Interpretation in Claude Code?

Run `npx skills add digoal/blog --skill paper-interpretation -a claude-code`. Or copy the skill folder (skills/paper-interpretation in digoal/blog) into .claude/skills/paper-interpretation in your project. Claude Code loads it when a task matches its description.

How do I install Paper Interpretation in Codex?

Run `npx skills add digoal/blog --skill paper-interpretation -a codex`. Or copy the skill folder (skills/paper-interpretation in digoal/blog) into .agents/skills/paper-interpretation in your project. Codex loads it when a task matches its description.

Can I use Paper Interpretation 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 digoal/blog --skill paper-interpretation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/paper-interpretation, .gemini/skills/paper-interpretation, .github/skills/paper-interpretation and .opencode/skills/paper-interpretation in your project.

What does Paper Interpretation need to run?

Going by SKILL.md and its folder, Paper Interpretation needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Paper Interpretation 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 Paper Interpretation 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Paper Interpretation use?

Paper Interpretation is published under the GPL-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Paper Interpretation use?

About 1.5k tokens (SKILL.md is roughly 6.1k 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 370 tokens, read only when the agent opens those files.

What are the alternatives to Paper Interpretation?

Skills that share tags, products or a category with Paper Interpretation: Fulltext Retrieval (Aperivue/medsci-skills, 329 stars), Paper Lens (YSQ-boop/paper-lens, 101 stars), Paper Interpreter (chujianyun/skills, 740 stars) and Omh Paper Learning (rlaope/oh-my-hermes, 3.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Paper Interpretation?

digoal (a GitHub user) maintains it in digoal/blog, which has 8,587 GitHub stars. The repository holds 98 skills in this directory. The repository was last updated on September 28, 2026.

Source: digoal/blog on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Paper Interpretation

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Paper Interpretation

Goal

Intake

Extraction Workflow

Reading Checklist

Article Structure

1. 论文定位

2. 前置知识地图

3. 论文精读

4. 术语解释

5. 批判性评估：论文强在哪里，边界在哪里

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