pdf-editing

pdf-editing is a skill for Claude Code, Codex from xuansenpa1/skillrevise. It costs 17 tokens per session (2,777 once invoked), scanned A, a copy of pdf-editing, MIT.

A guide for reading and editing PDF files with PyMuPDF, a Python library for working with PDF text and pages. It explains how to replace text while keeping the document's text layer and how to permanently remove sensitive text through redaction.

In plain words
What is it for?
Updating text in PDFs at its original position, permanently redacting sensitive information, and preserving extractable text.
Why use it?
It helps prevent edits that only cover old text visually or turn pages into images, which can make text unsearchable or leave sensitive information inside the file.

Skill for Claude CodeCodex

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

Good fit Updating text in PDFs at its original position, permanently redacting sensitive information, and preserving extractable text.

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Install with agentmods
npx agentmods add skills/xuansenpa1/skillrevise/pdf-editing
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 xuansenpa1/skillrevise --skill pdf-editing
Clone the repo
git clone --depth 1 https://github.com/xuansenpa1/skillrevise

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-editing

README.md
[![agentmods](https://agentmods.dev/badge/skills/xuansenpa1/skillrevise/pdf-editing/github.svg)](https://agentmods.dev/skills/xuansenpa1/skillrevise/pdf-editing)
Your own site
<a href="https://agentmods.dev/skills/xuansenpa1/skillrevise/pdf-editing"><img src="https://agentmods.dev/badge/skills/xuansenpa1/skillrevise/pdf-editing/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-editing

Your own site · 80×15
<a href="https://agentmods.dev/skills/xuansenpa1/skillrevise/pdf-editing"><img src="https://agentmods.dev/badge/skills/xuansenpa1/skillrevise/pdf-editing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 17 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,777 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 100% 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 $0.00017 $0.02777
Opus 5 $0.00009 $0.01388
Sonnet 5 $0.00003 $0.00555
Haiku 4.5 $0.00002 $0.00278

Measured 10d ago against content hash 7e0f4a10b794, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

pdf-editing 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 10d 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

This is a copy

100% identical to pdf-editing — 0 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.

data/skillsbench/tasks/edit-pdf/environment/skills/pdf-editing/SKILL.md · 330 lines

How it starts

The opening of the file, as written. The whole thing — 330 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PDF Editing Skill

CRITICAL RULES - READ FIRST

NEVER DO THESE:

  • NEVER use strikethrough lines to cross out text
  • NEVER rasterize or flatten the PDF to images
  • NEVER convert PDF pages to PNG/JPG and draw on them
  • NEVER use pdf-to-image-to-pdf workflows
  • NEVER use add_redact_annot() with BLACK fill (use WHITE fill instead)
  • NEVER add text NEXT TO old values - REPLACE them at the SAME position

TWO APPROACHES - CHOOSE THE RIGHT ONE:

  1. For REPLACING text (e.g., updating name, email, DOB):

    • Use draw_rect() with white fill to cover old text
    • Use insert_text() at the SAME position
    • Text layer is preserved
  2. For TRUE REDACTION of sensitive data (e.g., student ID):

    • Use add_redact_annot(rect, fill=(1,1,1)) with WHITE fill
    • Call apply_redactions() to REMOVE text from PDF structure
    • Then insert_text() to add masked value (e.g., "****5678")
    • Original text is completely removed, not just covered

Overview

USE PYTHON WITH PyMuPDF (fitz) - it is pre-installed and produces the best results.

PyMuPDF preserves the text layer properly, making text extractable after editing. JavaScript libraries like pdf-lib may create text that tools like pypdf cannot extract.

# PyMuPDF is already installed - just use it
python3 -c "import fitz; print('PyMuPDF ready')"

Reading PDF Content

import fitz

doc = fitz.open("input.pdf")
page = doc[0]

# Extract all text to understand the document
text = page.get_text()
print(text)

Finding Text Positions

# search_for() returns list of rectangles where text is found
rects = page.search_for("Label Text")
if rects:
    rect = rects[0]
    # rect.x0, rect.y0 = top-left corner
    # rect.x1, rect.y1 = bottom-right corner
    print(f"Found at: ({rect.x0}, {rect.y0}) to ({rect.x1}, {rect.y1})")

Inserting Text

# Insert text at a specific position
page.insert_text(
    (x_position, y_position),  # coordinates
    "text to insert",
    fontsize=11,
    color=(0, 0, 0)  # black
)

doc.save("output.pdf")

Read the full file on GitHub · 330 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. 10d ago First seen · 330 lines · 17 tokens per session scan A 7e0f4a10b794

Subscribe to this mod's changes

pdf-editing is a skill published in the GitHub repository xuansenpa1/skillrevise (55 stars, last pushed 4d ago), licensed MIT. It adds 17 tokens to every session and 2,777 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to pdf-editing, differing in 0 lines, and is treated as a copy.

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