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 Orkas-AI/Orkas-Awesome-AgentSkills --skill nano-pdfgit clone --depth 1 https://github.com/Orkas-AI/Orkas-Awesome-AgentSkillsWrote 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/orkas-ai/orkas-awesome-agentskills/nano-pdf)<a href="https://agentmods.dev/skills/orkas-ai/orkas-awesome-agentskills/nano-pdf"><img src="https://agentmods.dev/badge/skills/orkas-ai/orkas-awesome-agentskills/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/orkas-ai/orkas-awesome-agentskills/nano-pdf"><img src="https://agentmods.dev/badge/skills/orkas-ai/orkas-awesome-agentskills/nano-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 | $0.00003 | $0.00681 |
| Opus 5 | $0.00002 | $0.00341 |
| Sonnet 5 | $0.00001 | $0.00136 |
| Haiku 4.5 | $0.00000 | $0.00068 |
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 12d 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 — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Nano PDF
When to Use
Use when the user asks to edit a PDF and the local nano-pdf CLI is available.
Good fits:
- change text on a specific page
- add a watermark
- remove or redact a small visible element
- apply a narrow natural-language edit to a page
Do not use when the task requires full document re-layout, legal-grade redaction guarantees, OCR-heavy reconstruction, form extraction, or arbitrary PDF generation.
Preflight
Before editing:
command -v nano-pdf
nano-pdf --help
If the CLI is unavailable, do not claim the edit was completed. Return a fallback plan or ask whether the user wants to install/configure the tool.
Workflow
- Confirm the source PDF path and requested output behavior.
- Create a backup or work on a copy. Never overwrite the only source PDF.
- Confirm the intended page number with the user-facing page label if possible.
- Run a small test or inspect output when page indexing may be ambiguous. Some versions/configurations may treat page numbers as 0-based while users expect 1-based.
- Run the edit.
- Open, render, or visually inspect the affected pages before delivery.
- If the edit landed on the wrong page, restore from backup and retry with the corrected index.
Command Pattern
nano-pdf edit <input.pdf> <page> "<natural language instruction>"
Example:
nano-pdf edit deck.pdf 3 "Change the title to Q3 Results and add a Confidential watermark"
Prefer working-copy names such as:
source.pdf
source.working.pdf
source.edited.pdf
Return Format
Return:
- output PDF path
- backup path
- affected pages
- command summary
- visual verification status
- known risks or manual checks
If the CLI is missing or the edit cannot be verified, return:
ok: false- reason
- suggested fallback
- any prepared but unexecuted instruction
Limits and Known Issues
- Page numbering may be 0-based or 1-based depending on the installed CLI version/configuration. Verify before final delivery.
- Natural-language edits may not preserve exact typography or layout.
- PDF redaction is high risk. For sensitive redaction, require visual verification and consider a specialized redaction workflow.
- Scanned PDFs may require OCR and may not be editable as text.
- Always inspect output pages; a successful CLI exit is not enough.
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.
- 12d ago First seen · 89 lines · 3 tokens per session scan A 8ebf05e8a165
nano-pdf is a skill published in the GitHub repository Orkas-AI/Orkas-Awesome-AgentSkills (13 stars, last pushed 2mo ago), licensed MIT. It adds 3 tokens to every session and 681 once invoked, about $0.0000 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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