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 rangerrick337/operator-os --skill pdf-conversiongit clone --depth 1 https://github.com/rangerrick337/operator-osWrote 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/rangerrick337/operator-os/pdf-conversion)<a href="https://agentmods.dev/skills/rangerrick337/operator-os/pdf-conversion"><img src="https://agentmods.dev/badge/skills/rangerrick337/operator-os/pdf-conversion/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/rangerrick337/operator-os/pdf-conversion"><img src="https://agentmods.dev/badge/skills/rangerrick337/operator-os/pdf-conversion.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 | $0.00035 | $0.00262 |
| Opus 5.5 | $0.00014 | $0.00105 |
| Sonnet 5.5 | $0.00007 | $0.00052 |
| Haiku 4.5 | $0.00003 | $0.00026 |
Grade A, and why
pdf-conversion 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.
What it actually says
PDF Conversion Skill
Overview
Converts PDF files to clean, readable Markdown format with proper formatting, image extraction, and table preservation.
When to Use
- "Convert this PDF to markdown"
- "Extract text from PDF"
- "Transform PDF to MD format"
- "Process PDFs in folder X"
Related Resources
- SOP:
Operator Team OS/1. SOPs/convert_pdfs_to_markdown.md
Scripts
| Script | Purpose |
|---|---|
pdf_to_md.py |
Main PDF to Markdown converter |
Usage
python3 scripts/pdf_to_md.py /path/to/input.pdf /path/to/output.md
Features
- Text extraction with OCR fallback
- Image extraction and embedding
- Table detection and formatting
- Heading structure preservation
- Automatic cleanup of formatting artifacts
Edge Cases
- Scanned PDFs: Falls back to OCR
- Complex tables: Best-effort conversion
- Encrypted PDFs: Will fail (requires password)
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 First seen · 43 lines · 35 tokens per session scan A 0b357a8ce2b5
pdf-conversion is a skill published in the GitHub repository rangerrick337/operator-os (9 stars, last pushed 14d ago), licensed MIT. It adds 35 tokens to every session and 262 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 2026-08-31.
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