Document Skills Pdf
Extract and process PDF documents for data pipelines. Use when parsing research papers, extracting tables from reports, or converting PDFs to structured data.
Install
$ agentstack add skill-ihatesea69-kiro-kit-pdf ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-ihatesea69-kiro-kit-pdf) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Document Skills - PDF
Activate this skill when working with PDF documents in data/AI workflows.
When to Use
- Extracting tables from financial reports
- Parsing research papers for literature review
- Converting scanned PDFs to text (OCR)
- Extracting metadata from document collections
- Building document processing pipelines
Libraries
- pypdf: Read/write PDF, extract text and metadata
- pdfplumber: Table extraction with spatial awareness
- PyMuPDF (fitz): Fast rendering and text extraction
- camelot-py: Table extraction from PDFs
- pytesseract: OCR for scanned documents
Usage
import pdfplumber
with pdfplumber.open("report.pdf") as pdf:
for page in pdf.pages:
tables = page.extract_tables()
text = page.extract_text()
# OCR for scanned documents
import pytesseract
from pdf2image import convert_from_path
images = convert_from_path("scanned.pdf")
text = pytesseract.image_to_string(images[0])Rules
- Check if PDF is text-based or scanned before processing
- Use pdfplumber for table extraction over regex parsing
- Handle multi-column layouts carefully
- Validate extracted numbers against visual inspection
- Process large PDFs page-by-page to manage memory
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: ihatesea69
- Source: ihatesea69/kiro-kit
- License: MIT
- Homepage: https://www.npmjs.com/package/kiro-kit
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.