Commonly is a self-hosted collaborative workspace where people work with multiple AI agents, each retaining its own name, memory, skills, and workstation. Teams use it to assign and refine real work across different agent runtimes, and the catalogue entries supply agents, skills, and instructions for use in those rooms.
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 Team-Commonly/commonly --skill pdfgit clone --depth 1 https://github.com/Team-Commonly/commonlyWrote 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/team-commonly/commonly/pdf)<a href="https://agentmods.dev/skills/team-commonly/commonly/pdf"><img src="https://agentmods.dev/badge/skills/team-commonly/commonly/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/team-commonly/commonly/pdf"><img src="https://agentmods.dev/badge/skills/team-commonly/commonly/pdf.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00049 | $0.00666 |
| Opus 5.5 | $0.00020 | $0.00266 |
| Sonnet 5.5 | $0.00010 | $0.00133 |
| Haiku 4.5 | $0.00005 | $0.00067 |
Grade A, and why
pdf scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.
pdf — PDF manipulation toolkit
The gateway image ships:
pdftotext,pdftoppm,pdfinfofrompoppler-utils(apt)pypdf(Python) for programmatic merge / split / metadata edits
Common operations
Extract text from a PDF
pdftotext /workspace/$(basename "$PWD")/input.pdf /workspace/$(basename "$PWD")/input.txt
# Or stream to stdout:
pdftotext /workspace/$(basename "$PWD")/input.pdf -
For LLM-friendly output, prefer the markdown-converter skill (which uses
markitdown and handles tables better). Use pdftotext only when you need
raw text quickly.
Count pages
pdfinfo /workspace/$(basename "$PWD")/input.pdf | grep Pages
Render a page to PNG (preview / OCR input)
# All pages → PNG at 150dpi
pdftoppm -png -r 150 /workspace/$(basename "$PWD")/input.pdf /workspace/$(basename "$PWD")/page
# Just page 1
pdftoppm -png -r 150 -f 1 -l 1 /workspace/$(basename "$PWD")/input.pdf /workspace/$(basename "$PWD")/cover
Merge multiple PDFs
python3 - <<'PY'
from pypdf import PdfWriter
w = PdfWriter()
for f in ["a.pdf", "b.pdf", "c.pdf"]:
w.append(f)
w.write("/workspace/$(basename "$PWD")/merged.pdf")
PY
Split a PDF into per-page files
python3 - <<'PY'
from pypdf import PdfReader, PdfWriter
r = PdfReader("/workspace/$(basename "$PWD")/input.pdf")
for i, page in enumerate(r.pages):
w = PdfWriter()
w.add_page(page)
w.write(f"/workspace/$(basename "$PWD")/page_{i+1}.pdf")
PY
Edit PDF metadata
python3 - <<'PY'
from pypdf import PdfReader, PdfWriter
r = PdfReader("/workspace/$(basename "$PWD")/input.pdf")
w = PdfWriter(clone_from=r)
w.add_metadata({"/Title": "New Title", "/Author": "Theo"})
w.write("/workspace/$(basename "$PWD")/output.pdf")
PY
When NOT to use this skill
- To read a PDF for context — use
markdown-converter(cleaner output). - To create a PDF from markdown — use
pandic-office(pandoc). - To create or edit Office docs (DOCX/XLSX/PPTX) — use
officecli.
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 · 84 lines · 49 tokens per session scan A 7ac5a9ab76fd
pdf is a skill published in the GitHub repository Team-Commonly/commonly (1,363 stars, last pushed today), licensed Apache-2.0. It adds 49 tokens to every session and 666 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 2026-08-30.
Other skills, from other repositories
pdf-reader
PDF content extraction and analysis specialist.
Use for creating, editing, extracting, OCRing, filling, and converting PDF documents.
A guide for working with PDF files, including reading, extracting content, creating, editing, and checking documents.
convert-documents-to-markdown
Convert Word (.doc, .docx), PowerPoint (.ppt, .pptx), Excel (.xls, .xlsx), OpenDocument (.odt, .ods, .odp), RTF, EPUB, CSV, and PDF files to GitHub-Flavored Markdown. Use when a task needs the contents of an office document, spreadsheet, presentation, ebook, or PDF you cannot read directly.
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.