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.
npx skills add andregusman-raiz/a-gusman-claude --skill pdfgit clone --depth 1 https://github.com/andregusman-raiz/a-gusman-claudeWrote 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.
[](https://agentmods.dev/skills/andregusman-raiz/a-gusman-claude/pdf)<a href="https://agentmods.dev/skills/andregusman-raiz/a-gusman-claude/pdf"><img src="https://agentmods.dev/badge/skills/andregusman-raiz/a-gusman-claude/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.
<a href="https://agentmods.dev/skills/andregusman-raiz/a-gusman-claude/pdf"><img src="https://agentmods.dev/badge/skills/andregusman-raiz/a-gusman-claude/pdf.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 4 Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00043 | $0.04420 |
| Opus 5.5 | $0.00017 | $0.01768 |
| Sonnet 5.5 | $0.00009 | $0.00884 |
| Haiku 4.5 | $0.00004 | $0.00442 |
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 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.
How it starts
The opening of the file, as written. The whole thing — 436 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PDF Skill
Manipulacao completa de PDFs: criar, editar, merge, split, extrair texto/tabelas, OCR, watermark, protecao.
Quick Reference
| Task | Best Tool | Install |
|---|---|---|
| Merge/split/rotate | pypdf | pip install pypdf |
| Extract text/tables | pdfplumber | pip install pdfplumber |
| Create PDFs | reportlab | pip install reportlab |
| CLI text extract | pdftotext | brew install poppler |
| CLI manipulate | qpdf | brew install qpdf |
| OCR scanned PDFs | pytesseract | pip install pytesseract + brew install tesseract |
| Fill forms | pypdf | pip install pypdf |
Python Libraries
pypdf — Merge, Split, Rotate, Encrypt
from pypdf import PdfReader, PdfWriter, PdfMerger
# Read
reader = PdfReader("input.pdf")
print(f"Pages: {len(reader.pages)}")
text = reader.pages[0].extract_text()
# Merge multiple PDFs
merger = PdfMerger()
for pdf in ["a.pdf", "b.pdf", "c.pdf"]:
merger.append(pdf)
merger.write("merged.pdf")
merger.close()
# Split — extract pages 2-5
writer = PdfWriter()
for i in range(1, 5): # 0-indexed
writer.add_page(reader.pages[i])
writer.write("pages_2_to_5.pdf")
# Rotate page
writer = PdfWriter()
for page in reader.pages:
page.rotate(90) # 90, 180, 270
writer.add_page(page)
writer.write("rotated.pdf")
# Encrypt with password
writer = PdfWriter()
writer.append_pages_from_reader(reader)
writer.encrypt("user_password", "owner_password")
writer.write("encrypted.pdf")
# Decrypt
reader = PdfReader("encrypted.pdf")
reader.decrypt("password")
# Fill form fields
reader = PdfReader("form.pdf")
writer = PdfWriter()
writer.append_pages_from_reader(reader)
writer.update_page_form_field_values(
writer.pages[0],
{"field_name": "value", "another_field": "value2"}
)
writer.write("filled_form.pdf")
pdfplumber — Extract Text and Tables
import pdfplumber
with pdfplumber.open("input.pdf") as pdf:
# Extract text from all pages
for page in pdf.pages:
text = page.extract_text()
print(text)
# Extract tables
for page in pdf.pages:
tables = page.extract_tables()
for table in tables:
for row in table:
print(row)
# Extract table as pandas DataFrame
import pandas as pd
table = pdf.pages[0].extract_tables()[0]
df = pd.DataFrame(table[1:], columns=table[0])
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.
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.
- 1mo ago First seen · 436 lines · 43 tokens per session scan A 207449404f95
pdf is a skill published in the GitHub repository andregusman-raiz/a-gusman-claude (18 stars, last pushed 1mo ago), licensed MIT. It adds 43 tokens to every session and 4,420 once invoked, about $0.0002 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.
Other skills, from other repositories
apify-youtube-transcript-scraper
Get YouTube captions, timestamped quotations, SRT/VTT and translated transcripts for videos, channels and playlists through the harshmaur/youtube-transcript-scraper Apify Actor.
foundry-hosted-agent-validation
Step-by-step process for validating a Python Foundry hosted agent sample (under python/samples/04-hosting/foundry-hosted-agents/) end to end — running it locally (native runtime and azd ai agent run) and after deploying it to an Azure AI Foundry project with azd. Use this when asked to validate a hosted agent sample.
skill-doc-delivery
Convert markdown to DOCX, PPTX, XLSX, PDF office documents — use when you need exportable deliverables.
meta-web-to-pdf-briefing
Render a topic into a distributable PDF briefing in three steps: web search → bullet summary → styled PDF. Trigger when the user asks for a PDF briefing on a single topic.
paper-reader
A reading assistant for computer-vision and deep-learning research papers. It can work with PDF files, arXiv papers, and papers stored in Zotero, a reference-management app.
chat-complex-documents
Chat with and search your complex documents — ask questions, extract tables and fields, and get answers grounded in the source. Connects the hosted Unstructured Transform MCP server to parse, structure, and enrich PDFs, Word/Excel/PowerPoint, images, scanned files, emails, and 60+ other formats into clean, AI-ready…