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 drn/dots --skill pdfgit clone --depth 1 https://github.com/drn/dotsWrote 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/drn/dots/pdf)<a href="https://agentmods.dev/skills/drn/dots/pdf"><img src="https://agentmods.dev/badge/skills/drn/dots/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/drn/dots/pdf"><img src="https://agentmods.dev/badge/skills/drn/dots/pdf.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Rogue Agent · line 47 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 | $0.00031 | $0.01561 |
| Opus 5.5 | $0.00012 | $0.00624 |
| Sonnet 5.5 | $0.00006 | $0.00312 |
| Haiku 4.5 | $0.00003 | $0.00156 |
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 — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Export to PDF
Export summaries, research, or any content from the conversation to a professionally styled PDF for sharing. Also handles exporting an existing HTML file (for example, a saved Claude Artifact with inline SVG or custom CSS) directly to PDF.
Arguments
$ARGUMENTS- Optional: filename (without .pdf extension), "last" to export the last assistant message, or a path to an existing HTML file to export
Instructions
You are exporting content from the current conversation to a shareable PDF document.
Step 1: Identify Content to Export
First determine the content type, then what to export:
- Markdown/conversation content (default): a summary, research, analysis, or other text from the conversation.
- If user says "last" or no arguments: export the most recent substantive assistant response
- If user provides a topic: find the relevant content from the conversation about that topic
- If user provides specific text: use that text directly
- Continue with Steps 2-4 below.
- Existing HTML file (for example, a saved Claude Artifact with inline SVG or custom CSS): the user names or points to an
.htmlfile already on disk instead of asking to export conversation text.md_to_pdf.pyonly parses Markdown and cannot render arbitrary HTML, CSS, or inline SVG. Skip Steps 2-4 and follow "HTML File Export" instead.
Step 2: Prepare the Content
(Markdown path only — for an existing HTML file, see "HTML File Export" below.)
Clean up the content for PDF export:
- Keep all markdown formatting (headers, tables, bullets, code blocks)
- Remove any conversation artifacts or meta-commentary
- Ensure links are preserved
- Keep the "Sources" section if present
Step 3: Determine Filename and Title
Generate appropriate names:
- Filename: Use provided argument, or generate from content (e.g.,
ai-orchestration-tools-2026)- Use lowercase, hyphens for spaces
- Keep under 50 characters
- Add date suffix if relevant (e.g.,
-2026-02-05)
- Title: Generate a professional title from the content's main heading or topic
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.
- 1mo ago Changed · +32 lines · +13 tokens per session 9bb4f1db214b
- 1mo ago First seen · 90 lines · 18 tokens per session scan A 759bdf478ca3
pdf is a skill published in the GitHub repository drn/dots (23 stars, last pushed 11d ago), licensed MIT. It adds 31 tokens to every session and 1,561 once invoked, about $0.0001 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.
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skill-doc-delivery
Convert markdown to DOCX, PPTX, XLSX, PDF office documents — use when you need exportable deliverables.
meta-web-to-pdf-briefing
Render a topic into a distributable PDF briefing in three steps: web search → bullet summary → styled PDF. Trigger when the user asks for a PDF briefing on a single topic.
pkf-writing
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paper-reader
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