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 alex-alecu/garden-desk --skill pdf-documentsgit clone --depth 1 https://github.com/alex-alecu/garden-deskWrote 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/alex-alecu/garden-desk/pdf-documents)<a href="https://agentmods.dev/skills/alex-alecu/garden-desk/pdf-documents"><img src="https://agentmods.dev/badge/skills/alex-alecu/garden-desk/pdf-documents/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/alex-alecu/garden-desk/pdf-documents"><img src="https://agentmods.dev/badge/skills/alex-alecu/garden-desk/pdf-documents.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00032 | $0.00304 |
| Opus 5.5 | $0.00013 | $0.00122 |
| Sonnet 5.5 | $0.00006 | $0.00061 |
| Haiku 4.5 | $0.00003 | $0.00030 |
Grade A, and why
pdf-documents 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.
What it actually says
Library
Use the installed pypdf through python for page work, and reportlab (Platypus) to create a PDF. Do not install packages.
Recipe
from reportlab.lib.pagesizes import A4
from reportlab.platypus import Paragraph, SimpleDocTemplate, Table
from reportlab.lib.styles import getSampleStyleSheet
styles = getSampleStyleSheet()
SimpleDocTemplate(path, pagesize=A4).build([
Paragraph("Title", styles["Heading1"]),
Paragraph("Body text.", styles["BodyText"]),
Table([["column_a", "column_b"], ["1", "2"]]),
])
Platypus handles page breaks and margins. For page work, use PdfReader and PdfWriter from pypdf.
Verify
Reopen the PDF you write with PdfReader and assert its page count and the text of each page you generated.
Gotchas
- Set metadata with
PdfWriter.add_metadata()using slash-prefixed keys, for example{"/Title": "Report"}. - Reopen and check page count, order, rotation, and metadata before you report the deliverable done.
- Save under
/workspace;/sourceis read-only.
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 Changed · -3 lines · +12 tokens per session 290ec82a2fcf
- 1mo ago First seen · 39 lines · 20 tokens per session scan A 8424b1679b19
pdf-documents is a skill published in the GitHub repository alex-alecu/garden-desk (6 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 32 tokens to every session and 304 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 2026-08-31.
Other skills, from other repositories
Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating new PDFs, filling PDF forms, encrypting/decrypting PDFs, extracting images, and…
PDF files: create, read, merge, fill, OCR, edit text.
pdf-toolkit
Structured .pdf operations: extract text/tables, merge pages from multiple PDFs, split a PDF by page ranges, fill PDF form fields, and generate fresh PDFs from JSON. Trigger when the user wants programmatic PDF work without natural-language rewriting — examples: pull tables from a report, combine three PDFs, extract…
extracting-lab-tables
Detects and extracts tabular laboratory panels from PDFs, scans, and images into structured rows ready for OpenMed and FHIR. Use when the user has a CBC, CMP, lipid panel, or other lab report as a scanned image / PDF / spreadsheet and needs the test name, value, unit, reference range, and abnormal flag as clean rows.…
figures
Makes publication-quality plots from data with matplotlib, learning curves, scaling laws, benchmark and ablation comparisons, Pareto trade-offs, heatmaps and confusion matrices, sized for the page, vector, with uncertainty shown. Use whenever results are plotted, charted or visualized for a paper, report or answer, or…
liteparse
Use this skill when the user asks to parse, perform multi-format document conversion or spatially extract text from an unstructured file (PDF, DOCX, PPTX, XLSX, images, etc.) locally without cloud dependencies.