academic-paper-to-chinese-insight-pdf

academic-paper-to-chinese-insight-pdf is a skill for Claude Code, Codex from davidtoby/agent-skills. It costs 113 tokens per session (677 once invoked), scanned A, original, MIT.

A workflow that turns an academic paper PDF into a readable Chinese report and exports the result as a polished PDF. It explains the paper's topic, methods, results, and practical insights in simpler language.

In plain words
What is it for?
It is for translating or explaining research papers, summarising their experiments, adding analysis, and creating Chinese PDF handouts.
Why use it?
It removes the need to work through dense academic writing or produce a report from a raw translation alone.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It is for translating or explaining research papers, summarising their experiments, adding analysis, and creating Chinese PDF handouts.

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Install with agentmods
npx agentmods add skills/davidtoby/agent-skills/academic-paper-to-chinese-insight-pdf
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add davidtoby/agent-skills --skill academic-paper-to-chinese-insight-pdf
Clone the repo
git clone --depth 1 https://github.com/davidtoby/agent-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for academic-paper-to-chinese-insight-pdf

README.md
[![agentmods](https://agentmods.dev/badge/skills/davidtoby/agent-skills/academic-paper-to-chinese-insight-pdf/github.svg)](https://agentmods.dev/skills/davidtoby/agent-skills/academic-paper-to-chinese-insight-pdf)
Your own site
<a href="https://agentmods.dev/skills/davidtoby/agent-skills/academic-paper-to-chinese-insight-pdf"><img src="https://agentmods.dev/badge/skills/davidtoby/agent-skills/academic-paper-to-chinese-insight-pdf/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for academic-paper-to-chinese-insight-pdf

Your own site · 80×15
<a href="https://agentmods.dev/skills/davidtoby/agent-skills/academic-paper-to-chinese-insight-pdf"><img src="https://agentmods.dev/badge/skills/davidtoby/agent-skills/academic-paper-to-chinese-insight-pdf.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 113 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 677 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00113 $0.00677
Opus 5 $0.00056 $0.00338
Sonnet 5 $0.00023 $0.00135
Haiku 4.5 $0.00011 $0.00068

Measured 9d ago against content hash 9ad5038dcee7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

academic-paper-to-chinese-insight-pdf scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/extract_paper_text.py, scripts/render_cn_pdf.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/.archive/umbrella-curation-2026-04-29/user-imports/academic-paper-to-chinese-insight-pdf/SKILL.md · 72 lines

How it starts

The opening of the file, as written. The whole thing — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Academic Paper to Chinese Insight PDF

Produce a readable Chinese-first paper deliverable, not a raw dump.

Default output contract

Unless the user explicitly asks for literal full translation, prefer a Chinese insight edition with these parts:

  1. paper basics
  2. what the paper is about
  3. why it matters
  4. method summary
  5. key experiments/results
  6. your insights and opinions
  7. plain-language explanation
  8. concise takeaways
  9. polished Chinese PDF export

This default is usually more useful than a noisy page-by-page translation.

When to choose literal translation vs insight edition

Choose literal/full translation when

  • the user explicitly asks for full translation
  • the paper is short enough that fidelity matters more than readability
  • the user needs section-by-section academic preservation

Choose insight edition when

  • the extracted text is noisy or layout-corrupted
  • the user wants understanding,观点,启发, or explain-like-I’m-younger output
  • the user asks for a PDF handout/report

When you choose insight edition, say briefly that you are using a faithful Chinese精读整理 instead of brittle mechanical translation because it improves readability.

Workflow

  1. Extract text from the PDF.
  2. Inspect extraction quality before deciding output mode.
  3. Identify core sections: abstract, introduction, method, results, conclusion, limits.
  4. Draft the Chinese report in Markdown.
  5. Add your own insights as clearly labeled analysis, not as quoted paper claims.
  6. Add a plain-language explanation section when useful.
  7. Export with the Chinese PDF renderer.
  8. Verify the PDF exists and has non-trivial size.

Files to use

  • Use scripts/extract_paper_text.py to extract the paper text into Markdown.
  • Use scripts/render_cn_pdf.py to export the final Chinese Markdown into a polished PDF.
  • Read references/output-structure.md when shaping the final report.
  • Read references/quality-bar.md when deciding translation depth and delivery quality.

Read the full file on GitHub · 72 lines

Files

What ships with it

5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 72 lines · 0 tokens per session scan A 9ad5038dcee7

Subscribe to this mod's changes

academic-paper-to-chinese-insight-pdf is a skill published in the GitHub repository davidtoby/agent-skills (10 stars, last pushed 1mo ago), licensed MIT. It adds 113 tokens to every session and 677 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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