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/decocms/studio/pdfnpx skills add decocms/studio --skill pdfgit clone --depth 1 https://github.com/decocms/studioWhat 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 | $0.00029 | $0.00201 |
| Opus 5 | $0.00015 | $0.00101 |
| Sonnet 5 | $0.00006 | $0.00040 |
| Haiku 4.5 | $0.00003 | $0.00020 |
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 2d 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 — PDF documents
Use this skill to read text from .pdf files.
Scripts
extract.py
Print text content from a .pdf, page by page.
python org/public/core/pdf/extract.py <path-to-file.pdf>
Output is plain text with --- page N --- separators. PDFs that are pure
scans (image-only, no embedded text layer) will produce empty pages — OCR is
not performed.
Direct pypdf usage
For metadata, structure, splitting, merging, or filling forms, import pypdf
directly. The library is preinstalled.
from pypdf import PdfReader
reader = PdfReader("/path/to/file.pdf")
for page in reader.pages:
text = page.extract_text()
What ships with it
1 file 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.
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.
- 2d ago First seen · 35 lines · 29 tokens per session scan A 654bcb9890ae
pdf is a skill published in the GitHub repository decocms/studio (401 stars, last pushed yesterday), licensed MIT. It adds 29 tokens to every session and 201 once invoked, about $0.0001 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 2026-08-30.
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