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 IceWhaleTech/ZimaOS-Blue --skill pdfgit clone --depth 1 https://github.com/IceWhaleTech/ZimaOS-BlueWrote 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/icewhaletech/zimaos-blue/pdf)<a href="https://agentmods.dev/skills/icewhaletech/zimaos-blue/pdf"><img src="https://agentmods.dev/badge/skills/icewhaletech/zimaos-blue/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/icewhaletech/zimaos-blue/pdf"><img src="https://agentmods.dev/badge/skills/icewhaletech/zimaos-blue/pdf.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 | $0.00037 | $0.01528 |
| Opus 5 | $0.00018 | $0.00764 |
| Sonnet 5 | $0.00007 | $0.00306 |
| Haiku 4.5 | $0.00004 | $0.00153 |
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 10d 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 — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Use this skill when the .pdf file is the source of truth and the task needs PDF-native reading, form filling, or final-document output.
Common Actions
blue pdf action=read path=reports/brief.pdf
blue pdf action=read path=reports/brief.pdf read_mode=fast
blue pdf action=info path=reports/brief.pdf
blue pdf action=create path=reports/brief.pdf title="Launch Brief" content="# Summary"
blue pdf action=fill path=forms/intake.pdf output_path=forms/intake_filled.pdf fields='{"name":"Orca"}'
blue pdf action=reformat input_path=reports/source.pdf output_path=reports/source_clean.pdf
Parameters (Practical Reference)
Common read parameters (action=read):
path/pdf: Path or URL to a single PDF (workspace path preferred).pdfs/paths: Multiple PDFs (deduped, capped).read_mode: Preset for speed vs coverage (full/auto/fast).purpose(Default:summarize): High-level intent hint that selects sensible defaults when you did not explicitly setread_mode/max_pages/max_chars/ include flags. Values:summarize/facts/skim.pages: Page selection like"1,3-5"or[1,3,4,5]. Use this when you know where the answer is.max_pages: Hard cap on number of pages returned.max_chars: Hard cap on characters returned.include_markdown: Include a layout-aware Markdown view when possible.include_outline: Include bookmarks/outline when available (useful for navigation).include_pages: Include per-page outputs (helps citations and page-specific extraction).include_layout: Include semantic blocks/tables when available (more expensive).fallback_mode: How to handle scanned pages:auto(default): try text extraction; fall back to OCR/vision when neededtext_only: disable OCR + vision (fastest; fails on scans)ocr_only: force OCR (better for scans; slower)vision_only: force vision OCR (slowest; last resort)
Create/reformat/fill parameters:
action=create:path(output), plustitle/subtitle/content(Markdown-like).action=reformat:input_path(source PDF),output_path(destination PDF).action=fill:path(source PDF),fields(map), andoutput_path(destination PDF).
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.
- 10d ago First seen · 121 lines · 37 tokens per session scan A 1accd100390d
pdf is a skill published in the GitHub repository IceWhaleTech/ZimaOS-Blue (25 stars, last pushed 4mo ago), licensed MIT. It adds 37 tokens to every session and 1,528 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 2026-08-30.
Other skills, from other repositories
ocr-and-documents
Extract text from PDFs and scanned documents. Use webextract for remote URLs, pymupdf for local text-based PDFs, marker-pdf for OCR/scanned docs. For DOCX use python-docx, for PPTX see the powerpoint skill.
nano-pdf
Edit PDFs with natural-language instructions using the nano-pdf CLI. Modify text, fix typos, update titles, and make content changes to specific pages without manual editing.
pandic-office
Convert Markdown to PDF (or DOCX/EPUB/HTML) using the pandoc CLI. Use when asked to produce a PDF report, brief, summary, or any document where the input is Markdown and the output should be a polished, paginated file.
markdown-converter
Convert binary documents (PDF, DOCX, XLSX, PPTX, HTML, EPUB, images) to clean LLM-friendly Markdown using Microsoft's markitdown Python tool. Use when a user attaches a binary file and you need to read its contents.
Manipulate PDF files — extract text, count pages, render thumbnails, merge or split documents. Use for PDF-specific operations that don't fit markdown-converter (general read) or pandic-office (write from markdown).
nutrient-openclaw
Use the pinned Nutrient OpenClaw plugin to convert, OCR, extract, redact, watermark, sign, or inspect the last-known local credit record for documents. Route only OpenClaw document-processing requests to its declared tools. Treat processing as an external, credit-consuming DWS transfer that requires a bounded estimate…