Claude Code Skills Marketplace is a collection and marketplace of skills, plugins, agents, and instructions that extend Claude Code with specialized development workflows. It is for developers who want to install existing workflows or create, validate, and package their own Claude Code skills.
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 daymade/claude-code-skills --skill pdf-to-htmlgit clone --depth 1 https://github.com/daymade/claude-code-skillsWrote 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/daymade/claude-code-skills/pdf-to-html)<a href="https://agentmods.dev/skills/daymade/claude-code-skills/pdf-to-html"><img src="https://agentmods.dev/badge/skills/daymade/claude-code-skills/pdf-to-html/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/daymade/claude-code-skills/pdf-to-html"><img src="https://agentmods.dev/badge/skills/daymade/claude-code-skills/pdf-to-html.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
- Socket pass
- Snyk 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 | $0.00192 | $0.01763 |
| Opus 5.5 | $0.00077 | $0.00705 |
| Sonnet 5.5 | $0.00038 | $0.00353 |
| Haiku 4.5 | $0.00019 | $0.00176 |
Grade A, and why
pdf-to-html 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 28d 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 — 152 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PDF to HTML
Turn a PDF into a single, self-contained, readable HTML file — images, tables, charts and reading order preserved — and optionally translate it, keeping every figure in place.
The pipeline is extract → look → (translate) → build → verify. The middle "look" and final "verify" steps are where faithfulness actually comes from: a PDF is a layout, not just a text stream, so you read the rendered pages before building and the rendered HTML before delivering.
This skill runs inline (no context: fork): translation orchestrates a
Dynamic Workflow, and a subagent cannot spawn one.
When to use / not use
- Use when the goal is to read a PDF as HTML/web page, to convert a PDF to a styled HTML document, or to translate a PDF into another language while keeping its figures and tables.
- doc-to-markdown instead if they want plain Markdown text (no styling, figures optional).
- pdf-creator instead for the reverse direction (Markdown → PDF).
What it does NOT do
- Scanned/image-only PDFs (no text layer): OCR first (e.g.
ocrmypdf), then use this. - Complex multi-column tables: cell text is preserved and readable, but column alignment can flatten into a text flow — PyMuPDF reads a table as text blocks, not a grid, so the grid lines are gone. Tables that are images in the PDF survive as images. If the table's grid structure is essential, use doc-to-markdown (pandoc rebuilds real tables) or convert that page separately.
- Pixel-perfect facsimile: output is a clean re-flow that keeps images and reading order, not a 1:1 copy of the original page layout.
- Rewriting: it translates and re-lays-out; it does not summarize, add a TL;DR, or editorialize. Faithfulness is the point (see Fidelity below).
Dependencies
uv (runs Python with inline deps), Google Chrome or Chromium (visual
verification). Python packages come via uv run --with: PyMuPDF, Pillow, numpy.
Nothing to pre-install beyond Chrome and uv.
What ships with it
5 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.
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.
- 28d ago Changed · +1 lines 0d44ebf280af
- 1mo ago First seen · 151 lines · 192 tokens per session scan A aad8bb703234
pdf-to-html is a skill published in the GitHub repository daymade/claude-code-skills (1,483 stars, last pushed today), licensed MIT. It adds 192 tokens to every session and 1,763 once invoked, about $0.0008 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.
chat-complex-documents
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pkf-writing
Author, update, convert, validate, persist, and render PKF (.pkf) content through message-inline, Library Asset, or Memory Page carriers. Use for structured reports, knowledge pages, delivery cards, or any .pkf body. NOT for recall, memory-graph placement, or curation decisions — those belong to the memory skill.
paper-reader
A reading assistant for computer-vision and deep-learning research papers. It can work with PDF files, arXiv papers, and papers stored in Zotero, a reference-management app.