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 agentmods add skills/eldanring/qubicl/pdfnpx skills add EldanRing/qubicl --skill pdfgit clone --depth 1 https://github.com/EldanRing/qubiclWrote 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/eldanring/qubicl/pdf)<a href="https://agentmods.dev/skills/eldanring/qubicl/pdf"><img src="https://agentmods.dev/badge/skills/eldanring/qubicl/pdf.svg" alt="Measured on agentmods" 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 | $0.00045 | $0.00387 |
| Opus 5 | $0.00023 | $0.00193 |
| Sonnet 5 | $0.00009 | $0.00077 |
| Haiku 4.5 | $0.00005 | $0.00039 |
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 6d 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
PDF workflows
Use Qubicl file tools to inspect inputs and save outputs under /home/qubicl. Use exec_command for the deterministic helpers bundled with this skill. Obtain this package's resourceRoot from skill_view; do not assume a client-specific skill directory.
The curated browser, computer, and workstation images provide the declared Python libraries plus Poppler. Run helpers through /opt/qubicl/skills-venv/bin/python. If a dependency is absent, report that the current preset does not support the operation; do not install packages automatically.
Common helpers beneath <resourceRoot>/scripts/:
pdf_read.py FILE --text|--tables|--meta|--fieldspdf_create.py SPEC.json -o OUTPUT.pdfpdf_merge.py INPUT... -o OUTPUT.pdfpdf_split.py FILE --pages 1-3,5 -o OUTPUT.pdfpdf_page_image.py FILE --out-dir DIRpdf_make_form.py SPEC.json -o OUTPUT.pdfpdf_fill_form.py FILE --fields-json VALUES.json -o OUTPUT.pdfpdf_stamp.py,pdf_watermark.py,pdf_meta.py, andpdf_secure.py
Read references/forms.md only for AcroForm work.
For inspection, extract text first and render representative pages when layout matters. Use take_screenshot only for the live desktop; use generated page images for document QA. Verify important outputs by reopening them with a read helper and, when visual fidelity matters, by rendering pages. Never overwrite the only input copy unless the user explicitly requests in-place editing.
What ships with it
15 files 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.
- LICENSE 1.0 KB
- references/forms.md 3.9 KB
- scripts/_raster.py 2.5 KB runs code
- scripts/pdf_create.py 4.4 KB runs code
- scripts/pdf_fill_form.py 3.8 KB runs code
- scripts/pdf_form_layout.py 7.0 KB runs code
- scripts/pdf_make_form.py 5.8 KB runs code
- scripts/pdf_merge.py 1.6 KB runs code
- scripts/pdf_meta.py 4.3 KB runs code
- scripts/pdf_page_image.py 3.5 KB runs code
- scripts/pdf_read.py 5.7 KB runs code
- scripts/pdf_secure.py 2.6 KB runs code
- scripts/pdf_split.py 3.0 KB runs code
- scripts/pdf_stamp.py 5.6 KB runs code
- scripts/pdf_watermark.py 1.8 KB runs code
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.
- 6d ago First seen · 26 lines · 45 tokens per session scan A 320e0cb13f88
pdf is a skill published in the GitHub repository EldanRing/qubicl (4 stars, last pushed yesterday), licensed Apache-2.0. It adds 45 tokens to every session and 387 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 2026-08-31.
Other skills, from other repositories
invoice
A printable invoice page — sender + recipient block, line items table, tax breakdown, totals, and payment instructions. Use when the brief mentions "invoice", "bill", "billing statement", or "发票".
pandoc
Convert documents between formats (Markdown, DOCX, HTML, PDF, RST, EPUB, LaTeX) via the pandoc CLI. Use to transform a document from one format to another.
Manipulate PDF files — merge, split, extract pages/text, PDF↔images, OCR, info — via the qpdf / poppler / ocrmypdf CLIs. Use to combine, slice, convert, or OCR PDFs.
liteparse
Parse documents into LLM-ready content entirely on the local machine — PDF / DOCX / XLSX / PPTX / images → Markdown, structured JSON (with bounding boxes), or page screenshots, via the lit CLI. No cloud, no LLM, works offline. Use whenever the user attaches or points to a document that must be read before reasoning…
ingest
Turn external URLs and documents into LLM-ready content — load + cache web pages (HQCC compression) and OCR PDFs/images to Markdown. Use whenever the user gives a URL, asks you to read a webpage, or attaches a PDF/scan that needs to be parsed before reasoning. Executes via the cloud load, cloud search, and cloud parse…
nano-pdf
Edit PDFs with natural-language instructions using the nano-pdf CLI.