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 ihatesea69/kiro-kit --skill pdfgit clone --depth 1 https://github.com/ihatesea69/kiro-kitWrote 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/ihatesea69/kiro-kit/pdf)<a href="https://agentmods.dev/skills/ihatesea69/kiro-kit/pdf"><img src="https://agentmods.dev/badge/skills/ihatesea69/kiro-kit/pdf.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00033 | $0.00319 |
| Opus 5 | $0.00016 | $0.00160 |
| Sonnet 5 | $0.00007 | $0.00064 |
| Haiku 4.5 | $0.00003 | $0.00032 |
Grade A, and why
document-skills-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 4d 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.
What it actually says
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
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.
- 4d ago First seen · 52 lines · 33 tokens per session scan A 87dff3303f2b
document-skills-pdf is a skill published in the GitHub repository ihatesea69/kiro-kit (18 stars, last pushed 19d ago), licensed MIT. It adds 33 tokens to every session and 319 once invoked, about $0.0002 per session on Opus 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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