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 HybridAIOne/hybridclaw --skill pdfgit clone --depth 1 https://github.com/HybridAIOne/hybridclawWrote 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/hybridaione/hybridclaw/pdf)<a href="https://agentmods.dev/skills/hybridaione/hybridclaw/pdf"><img src="https://agentmods.dev/badge/skills/hybridaione/hybridclaw/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/hybridaione/hybridclaw/pdf"><img src="https://agentmods.dev/badge/skills/hybridaione/hybridclaw/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 | $0.00037 | $0.01597 |
| Opus 5 | $0.00018 | $0.00798 |
| Sonnet 5 | $0.00007 | $0.00319 |
| Haiku 4.5 | $0.00004 | $0.00160 |
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 9d 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 — 186 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Use this skill whenever the user mentions a .pdf file or asks to inspect, extract, summarize, render, or fill one.
This skill is intentionally Node/JS-only for supported workflows. Do not switch to Python, Poppler CLIs, browser tricks, local HTTP servers, mdls, strings, or ad-hoc PDF decompression unless the user explicitly asks you to debug the runtime itself.
Supported Workflows
- create new PDFs with text content
- extract text from PDFs
- render PDF pages to PNG images
- extract invoice/document fields from PDF text
- inspect and fill native PDF form fields
- place text into non-fillable PDFs with explicit coordinates
- create validation overlays for non-fillable form coordinates
- merge or split PDFs with
pdf-lib
Non-Goals
The bundled skill does not guarantee:
- OCR
- encrypted/decrypted PDF workflows
- damaged/repair-oriented PDF recovery
- external CLI dependencies
If the user asks for one of those, state that it is outside the bundled Node workflow before considering anything else.
Working Rules
- Assume commands run from the workspace root.
- If the current turn already includes extracted PDF text in an injected
<file>block, use that text directly and answer. Do not rediscover the file. - Use the bundled scripts in
skills/pdf/scripts/first. - For PDFs outside the workspace, keep the original absolute path when invoking the Node scripts from
bash. - For folder discovery outside the workspace, use
bashwithfind. Do not useglob, ad-hoc Python file discovery, or browser tools. - Use a linear workflow. Stop as soon as one step succeeds.
- Use workspace-relative output paths for final PDFs you expect HybridClaw to keep, return, or attach.
- Use
/tmponly for temporary output when page images or other scratch intermediates are needed. - For ordinary extraction tasks, do not probe
pdfinfo,pdftotext,pdftoppm,mdls,strings,qlmanage, or browser tools. - Before filling any form, read forms.md.
- For advanced bundled JS patterns, read reference.md.
What ships with it
14 files 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.
- forms.md 6.1 KB
- reference.md 5.5 KB
- scripts/_pdf_form_runtime.mjs 14 KB runs code
- scripts/_pdf_runtime.mjs 6.6 KB runs code
- scripts/check_bounding_boxes.mjs 3.1 KB runs code
- scripts/check_fillable_fields.mjs 723 B runs code
- scripts/create_pdf.mjs 9.5 KB runs code
- scripts/create_validation_image.mjs 1.9 KB runs code
- scripts/extract_form_field_info.mjs 1.3 KB runs code
- scripts/extract_form_structure.mjs 3.7 KB runs code
- scripts/extract_pdf_text.mjs 1.3 KB runs code
- scripts/fill_fillable_fields.mjs 1.7 KB runs code
- scripts/fill_pdf_form_with_annotations.mjs 2.5 KB runs code
- scripts/render_pdf_pages.mjs 1.5 KB runs code
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.
- 9d ago First seen · 186 lines · 37 tokens per session scan A f515c917d4b8
pdf is a skill published in the GitHub repository HybridAIOne/hybridclaw (132 stars, last pushed yesterday), licensed MIT. It adds 37 tokens to every session and 1,597 once invoked, about $0.0002 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 2026-09-03.
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