pdf-processing

pdf-processing is a skill for Claude Code, Codex from beita6969/ScienceClaw. It costs 36 tokens per session (770 once invoked), scanned A, original, MIT.

A toolkit for extracting text and tables from PDF files, filling forms, and combining or splitting documents.

In plain words
What is it for?
It helps extract text and tables, fill PDF forms, merge documents, and split selected pages using code.
Why use it?
It removes repetitive manual work when information is stored in PDFs rather than editable files.

Skill for Claude CodeCodex

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

Good fit It helps extract text and tables, fill PDF forms, merge documents, and split selected pages using code.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/beita6969/scienceclaw/pdf-processing
About the project

ScienceClaw is an agent system for scientific work that completes tasks as typed, executable workflows and turns replay-verified improvements into reusable skills and operators. It is intended for AI-assisted research across natural and social science disciplines. The catalogue entries are its skills and instruction for use with the system.

beita6969/ScienceClaw · 1,019 stars · on GitHub · scienceclaw.science

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 beita6969/ScienceClaw --skill pdf-processing
Clone the repo
git clone --depth 1 https://github.com/beita6969/ScienceClaw

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-processing

README.md
[![agentmods](https://agentmods.dev/badge/skills/beita6969/scienceclaw/pdf-processing/github.svg)](https://agentmods.dev/skills/beita6969/scienceclaw/pdf-processing)
Your own site
<a href="https://agentmods.dev/skills/beita6969/scienceclaw/pdf-processing"><img src="https://agentmods.dev/badge/skills/beita6969/scienceclaw/pdf-processing/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-processing

Your own site · 80×15
<a href="https://agentmods.dev/skills/beita6969/scienceclaw/pdf-processing"><img src="https://agentmods.dev/badge/skills/beita6969/scienceclaw/pdf-processing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 770 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00036 $0.00770
Opus 5.5 $0.00014 $0.00308
Sonnet 5.5 $0.00007 $0.00154
Haiku 4.5 $0.00004 $0.00077

Measured 1mo ago against content hash d3715a8e0c75, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

pdf-processing 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 1mo ago.

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

Copies of this mod

2 near-identical copies found in the catalogue:

skills/pdf-processing/SKILL.md · 150 lines

How it starts

The opening of the file, as written. The whole thing — 150 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PDF Processing

Quick start

Use pdfplumber to extract text from PDFs:

import pdfplumber

with pdfplumber.open("document.pdf") as pdf:
    text = pdf.pages[0].extract_text()
    print(text)

Extracting tables

Extract tables from PDFs with automatic detection:

import pdfplumber

with pdfplumber.open("report.pdf") as pdf:
    page = pdf.pages[0]
    tables = page.extract_tables()

    for table in tables:
        for row in table:
            print(row)

Extracting all pages

Process multi-page documents efficiently:

import pdfplumber

with pdfplumber.open("document.pdf") as pdf:
    full_text = ""
    for page in pdf.pages:
        full_text += page.extract_text() + "\n\n"

    print(full_text)

Form filling

For PDF form filling, see FORMS.md for the complete guide including field analysis and validation.

Merging PDFs

Combine multiple PDF files:

from pypdf import PdfMerger

merger = PdfMerger()

for pdf in ["file1.pdf", "file2.pdf", "file3.pdf"]:
    merger.append(pdf)

merger.write("merged.pdf")
merger.close()

Splitting PDFs

Extract specific pages or ranges:

from pypdf import PdfReader, PdfWriter

reader = PdfReader("input.pdf")
writer = PdfWriter()

# Extract pages 2-5
for page_num in range(1, 5):
    writer.add_page(reader.pages[page_num])

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

Available packages

  • pdfplumber - Text and table extraction (recommended)
  • pypdf - PDF manipulation, merging, splitting
  • pdf2image - Convert PDFs to images (requires poppler)
  • pytesseract - OCR for scanned PDFs (requires tesseract)

Common patterns

Extract and save text:

import pdfplumber

with pdfplumber.open("input.pdf") as pdf:
    text = "\n\n".join(page.extract_text() for page in pdf.pages)

with open("output.txt", "w") as f:
    f.write(text)

Extract tables to CSV:

import pdfplumber
import csv

with pdfplumber.open("tables.pdf") as pdf:
    tables = pdf.pages[0].extract_tables()

    with open("output.csv", "w", newline="") as f:
        writer = csv.writer(f)
        for table in tables:
            writer.writerows(table)

Read the full file on GitHub · 150 lines

Files

What ships with it

1 file 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. 1mo ago First seen · 150 lines · 36 tokens per session scan A d3715a8e0c75

Subscribe to this mod's changes

pdf-processing is a skill published in the GitHub repository beita6969/ScienceClaw (1,019 stars, last pushed 8d ago), licensed MIT. It adds 36 tokens to every session and 770 once invoked, about $0.0001 per session on Opus 5.5. 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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