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/drn/dots/pdfnpx skills add drn/dots --skill pdfgit clone --depth 1 https://github.com/drn/dotsWhat 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 | $0.00018 | $0.00750 |
| Opus 5 | $0.00009 | $0.00375 |
| Sonnet 5 | $0.00004 | $0.00150 |
| Haiku 4.5 | $0.00002 | $0.00075 |
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.
How it starts
The opening of the file, as written. The whole thing — 90 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.
Arguments
$ARGUMENTS- Optional: filename (without .pdf extension) or "last" to export the last assistant message
Instructions
You are exporting content from the current conversation to a shareable PDF document.
Step 1: Identify Content to Export
Determine what content the user wants to export:
- If user says "last" or no arguments: Export the most recent substantive assistant response (summary, research, analysis, etc.)
- If user provides a topic: Find the relevant content from the conversation about that topic
- If user provides specific text: Use that text directly
Step 2: Prepare the Content
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
Step 4: Generate PDF
Write the content to a temporary markdown file using a Bash heredoc (do NOT use the Write tool — it may be sandboxed to the workspace directory and reject /tmp paths), then convert to PDF:
# Write content to temp file — MUST use Bash heredoc, not the Write tool
cat << 'CONTENT_EOF' > /tmp/export_content.md
{markdown content here}
CONTENT_EOF
# Convert to PDF using the colocated script
python ~/.claude/skills/pdf/scripts/md_to_pdf.py \
--input /tmp/export_content.md \
--output ~/Downloads/{filename}.pdf \
--title "{title}"
Important: Always use the Bash tool with cat << 'CONTENT_EOF' > /tmp/... for the temp file. The Write tool is sandboxed in some environments (e.g., Conductor workspaces) and will refuse paths outside the workspace.
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 · 90 lines · 18 tokens per session scan A 759bdf478ca3
pdf is a skill published in the GitHub repository drn/dots (23 stars, last pushed 3d ago), licensed MIT. It adds 18 tokens to every session and 750 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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