pdf

pdf is a skill for Claude Code, Codex from LeonChaoX/qinyan-academic-skills. It costs 92 tokens per session (2,082 once invoked), scanned A, a copy of pdf, MIT.

A skill for working with PDF files, including reading, extracting text and tables, combining, splitting, rotating, watermarking, and filling forms.

In plain words
What is it for?
Use it to extract information, merge or split documents, process forms, add watermarks, encrypt files, or extract embedded images.
Why use it?
It avoids treating PDFs as images or manually editing them when you need to inspect or change their contents.

Skill for Claude CodeCodex

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

Good fit Use it to extract information, merge or split documents, process forms, add watermarks, encrypt files, or extract embedded images.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/leonchaox/qinyan-academic-skills/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 LeonChaoX/qinyan-academic-skills --skill pdf
Clone the repo
git clone --depth 1 https://github.com/LeonChaoX/qinyan-academic-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 pdf

README.md
[![agentmods](https://agentmods.dev/badge/skills/leonchaox/qinyan-academic-skills/pdf/github.svg)](https://agentmods.dev/skills/leonchaox/qinyan-academic-skills/pdf)
Your own site
<a href="https://agentmods.dev/skills/leonchaox/qinyan-academic-skills/pdf"><img src="https://agentmods.dev/badge/skills/leonchaox/qinyan-academic-skills/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 pdf

Your own site · 80×15
<a href="https://agentmods.dev/skills/leonchaox/qinyan-academic-skills/pdf"><img src="https://agentmods.dev/badge/skills/leonchaox/qinyan-academic-skills/pdf.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 92 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,082 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 92% copy Near-identical to another mod 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 $0.00092 $0.02082
Opus 5 $0.00046 $0.01041
Sonnet 5 $0.00018 $0.00416
Haiku 4.5 $0.00009 $0.00208

Measured 7d ago against content hash 9f78b8359fbd, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

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 7d ago.

The scan reads SKILL.md. This mod also ships 8 executable files (scripts/check_bounding_boxes.py, scripts/check_fillable_fields.py, scripts/convert_pdf_to_images.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.

Origin

This is a copy

92% identical to pdf — 22 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/14-文档处理与数据工具/pdf/SKILL.md · 315 lines

How it starts

The opening of the file, as written. The whole thing — 315 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PDF Processing Guide

Overview

This guide covers essential PDF processing operations using Python libraries and command-line tools. For advanced features, JavaScript libraries, and detailed examples, see REFERENCE.md. If you need to fill out a PDF form, read FORMS.md and follow its instructions.

Quick Start

from pypdf import PdfReader, PdfWriter

# Read a PDF
reader = PdfReader("document.pdf")
print(f"Pages: {len(reader.pages)}")

# Extract text
text = ""
for page in reader.pages:
    text += page.extract_text()

Python Libraries

pypdf - Basic Operations

Merge PDFs
from pypdf import PdfWriter, PdfReader

writer = PdfWriter()
for pdf_file in ["doc1.pdf", "doc2.pdf", "doc3.pdf"]:
    reader = PdfReader(pdf_file)
    for page in reader.pages:
        writer.add_page(page)

with open("merged.pdf", "wb") as output:
    writer.write(output)
Split PDF
reader = PdfReader("input.pdf")
for i, page in enumerate(reader.pages):
    writer = PdfWriter()
    writer.add_page(page)
    with open(f"page_{i+1}.pdf", "wb") as output:
        writer.write(output)
Extract Metadata
reader = PdfReader("document.pdf")
meta = reader.metadata
print(f"Title: {meta.title}")
print(f"Author: {meta.author}")
print(f"Subject: {meta.subject}")
print(f"Creator: {meta.creator}")
Rotate Pages
reader = PdfReader("input.pdf")
writer = PdfWriter()

page = reader.pages[0]
page.rotate(90)  # Rotate 90 degrees clockwise
writer.add_page(page)

with open("rotated.pdf", "wb") as output:
    writer.write(output)

pdfplumber - Text and Table Extraction

Extract Text with Layout
import pdfplumber

with pdfplumber.open("document.pdf") as pdf:
    for page in pdf.pages:
        text = page.extract_text()
        print(text)
Extract Tables
with pdfplumber.open("document.pdf") as pdf:
    for i, page in enumerate(pdf.pages):
        tables = page.extract_tables()
        for j, table in enumerate(tables):
            print(f"Table {j+1} on page {i+1}:")
            for row in table:
                print(row)

Read the full file on GitHub · 315 lines

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. 7d ago First seen · 315 lines · 92 tokens per session scan A 9f78b8359fbd

Subscribe to this mod's changes

pdf is a skill published in the GitHub repository LeonChaoX/qinyan-academic-skills (880 stars, last pushed 1mo ago), licensed MIT. It adds 92 tokens to every session and 2,082 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 92% identical to pdf, differing in 22 lines, and is treated as a copy.

Related

Other skills, from other repositories

phd-deepread

Process academic PDFs into structured Obsidian literature notes and 9-node critical-thinking canvases. Activate when the user shares a PDF (drag-in or path) and asks to read, summarize, analyze, or "deeply read" it — or when they say things like "phd-deepread read this paper", "make a literature note", "critique this…

heleninsights-dot/phd-deepread-workflow · 92 tokens

pdf-analysis

A PDF analysis method for reading both normal PDFs with selectable text and scanned PDFs made from page images.

OpenSenseNova/SenseNova-Skills · 48 tokens

sn-da-non-spreadsheet-analysis

A skill for extracting and analysing content from Word files, PDFs, and PowerPoint presentations. It can work with text, tables, numbers, charts, formatting, and information across multiple documents.

OpenSenseNova/SenseNova-Skills · 234 tokens

ocr-and-documents

Extract text from PDFs and scanned documents. Use webextract for remote URLs, pymupdf for local text-based PDFs, marker-pdf for OCR/scanned docs. For DOCX use python-docx, for PPTX see the powerpoint skill.

moltis-org/moltis · 54 tokens

nano-pdf

Edit PDFs with natural-language instructions using the nano-pdf CLI. Modify text, fix typos, update titles, and make content changes to specific pages without manual editing.

moltis-org/moltis · 38 tokens

pdf-toolkit

A command-line toolkit for working with local PDF files, which are fixed-layout documents. It can merge files, split or extract pages, read text, and show page information using available tools or Python’s pypdf library.

dongsheng123132/u-claw · 30 tokens