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/yamadashy/agent-readable/readable-speakerdecknpx skills add yamadashy/agent-readable --skill readable-speakerdeckgit clone --depth 1 https://github.com/yamadashy/agent-readableWrote 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/yamadashy/agent-readable/readable-speakerdeck)<a href="https://agentmods.dev/skills/yamadashy/agent-readable/readable-speakerdeck"><img src="https://agentmods.dev/badge/skills/yamadashy/agent-readable/readable-speakerdeck.svg" alt="Measured on agentmods" 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 | $0.00069 | $0.00269 |
| Opus 5 | $0.00034 | $0.00134 |
| Sonnet 5 | $0.00014 | $0.00054 |
| Haiku 4.5 | $0.00007 | $0.00027 |
Grade A, and why
readable-speakerdeck scanned grade A with 1 finding 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 3d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
description: Fetches a SpeakerDeck slide deck by extracting the public PDF URL from the slide page (WebFetch), downloading it via curl, and running pdfvision — typically with --render on image-heavy pages so the slides c What it actually says
SpeakerDeck Slide Reader
Steps
1. Fetch page info with WebFetch
Use WebFetch to load the slide page and extract the PDF download URL.
- Form:
https://files.speakerdeck.com/presentations/{id}/{filename}.pdf
2. Download the PDF
curl -L -o /tmp/slide.pdf "{PDF_URL}"
3. Extract the PDF contents
Prefer pdfvision — slide decks are often image-heavy, and pdfvision's density Overview surfaces the pages where --render is needed for multimodal review:
npx pdfvision /tmp/slide.pdf
npx pdfvision /tmp/slide.pdf --render -p {pages-with-low-coverage}
If only a Claude Code-style multimodal Read tool is available, Read /tmp/slide.pdf also works.
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.
- 3d ago First seen · 32 lines · 69 tokens per session scan A b30ed9a1e6ca
readable-speakerdeck is a skill published in the GitHub repository yamadashy/agent-readable (2 stars, last pushed 3mo ago), licensed MIT. It adds 69 tokens to every session and 269 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating new PDFs, filling PDF forms, encrypting/decrypting PDFs, extracting images, and…
当用户需要对PDF文件进行任何操作时，请使用此技能。包括从 PDF 中读取或提取文本/表格、合并多个 PDF、拆分 PDF、旋转页面、添加水印、创建新PDF、填写PDF表单、加密/解密 PDF、提取图片，以及对扫描版 PDF 进行 OCR 使其可搜索。如果用户提到 .pdf 文件或要求生成 PDF，请使用此技能。.
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