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 aaronnat23/disp8ch --skill nano-pdfgit clone --depth 1 https://github.com/aaronnat23/disp8chWrote 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/aaronnat23/disp8ch/nano-pdf)<a href="https://agentmods.dev/skills/aaronnat23/disp8ch/nano-pdf"><img src="https://agentmods.dev/badge/skills/aaronnat23/disp8ch/nano-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/aaronnat23/disp8ch/nano-pdf"><img src="https://agentmods.dev/badge/skills/aaronnat23/disp8ch/nano-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 | $0.00000 | $0.00257 |
| Opus 5 | $0.00000 | $0.00129 |
| Sonnet 5 | $0.00000 | $0.00051 |
| Haiku 4.5 | $0.00000 | $0.00026 |
Grade A, and why
nano-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
Nano PDF
Extract, analyze, and summarize PDF documents using available tools.
- First check if the PDF is stored in disp8ch Documents: use
documents_searchordocument_getto retrieve pre-extracted text chunks. - For local PDF files: use
read_file— disp8ch's file reader extracts text from PDFs automatically. - For remote PDFs: use
http_requestto download the file, then usewrite_fileto save it locally, thenread_fileto extract text. - For large PDFs (>50 pages): process in chunks. Ask the user which sections to focus on, or summarize section by section and produce a rolling summary.
- Extraction approach: (1) extract raw text, (2) identify structure (title, authors, abstract, sections), (3) summarize each major section.
- Output format:
**PDF:** {filename}\n**Pages:** ~N\n**Abstract/Summary:** ...\n**Key Sections:**\n- {section}: {summary} - For academic papers: extract and cite the bibliography. For contracts/legal docs: flag key clauses (obligations, deadlines, limits).
- Store the extracted summary in memory with the PDF filename as a tag for later recall.
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 · 13 lines · 0 tokens per session scan A 5ade464a4640
nano-pdf is a skill published in the GitHub repository aaronnat23/disp8ch (100 stars, last pushed 7d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 257 tokens. 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 2026-09-03.
Other skills, from other repositories
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…
elegant-reports
Generate beautifully designed PDF reports with a Nordic/Scandinavian aesthetic. Use when creating polished executive briefings, analysis reports, or presentation-style PDF outputs from markdown and HTML via Nutrient DWS.
anydoc
Convert Word (.doc/.docx/.docm), PowerPoint (.ppt/.pps/.pot/.pptx/.pptm/.ppsx/.ppsm), Excel (.xls/.xlsx/.xlsm/.xlsb), OpenDocument (.odt/.ods/.odp), RTF, EPUB, CSV, and PDF documents to clean GitHub-Flavored Markdown locally with the Any Doc CLI (npx -y @firecrawl/[email protected]): headings, GFM tables, slide structure…
documents
Generate, inspect, validate, and fix PDF, Word (.docx), Excel (.xlsx), and PowerPoint (.pptx) documents: turn structured content into render-ready artifacts, verify structural and output quality before delivery, and repair broken files. Use when a task involves creating, editing, converting, or validating office…
docx
Read, create, and convert Microsoft Word (.docx) documents — extract text and tables, build reports from markdown/JSON, and export to PDF.
Read and create PDF documents — extract text (and per-page text) from a PDF to JSON/markdown, and render markdown/plain text into a new PDF.