Getting it into your agent
There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.
Wrote 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/skyworkai/skywork-skills/skywork-doc)<a href="https://agentmods.dev/skills/skyworkai/skywork-skills/skywork-doc"><img src="https://agentmods.dev/badge/skills/skyworkai/skywork-skills/skywork-doc.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 5.1 | $0.00328 | $0.02773 |
| Opus 5 | $0.00164 | $0.01386 |
| Sonnet 5 | $0.00066 | $0.00555 |
| Haiku 4.5 | $0.00033 | $0.00277 |
Grade A, and why
Skywork Document 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 6d 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 — 218 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Doc — Professional Document Generator
Generate professional, beautifully formatted documents by calling the Skywork Office Doc API.
Prerequisites
API Key Configuration (Required First)
This skill requires a SKYWORK_API_KEY to be configured in OpenClaw.
If you don't have an API key yet, please visit: https://skywork.ai
For detailed setup instructions, see: references/apikey-fetch.md
Privacy & Remote Calls (Read Before Use)
- Remote upload & processing: This skill uploads user-provided files and sends the full, verbatim user request to the Skywork service. Avoid sensitive or confidential content unless you trust the remote service and its data handling policies.
- Web search: Any web search mentioned in this skill is performed by the server-side Skywork Doc API, not locally by these scripts.
Workflow
Step 0: Intent Recognition (CRITICAL - Do This First)
Before calling any script, analyze the user's request and determine:
-
Does the user provide reference files, or imply that certain files are needed to proceed with the writing task?
- Look for file paths, attachments, or mentions like "based on this PDF", "use the uploaded document". If you gathered info beforehand (e.g., web search, other tools) that would help the writing task, save it to disk as files and pass them as reference files in Step 1.
- If YES: find/extract file paths → proceed to Step 1
- If NO: skip to Step 2
-
What language should the output be in?
- Analyze the user's request language or explicit requirement. If unspecified, infer from the user's language or the language used in uploaded files.
- Set
--languageparameter:English,中文简体, etc. - Default:
English
-
What format does the user want?
- Look for keywords: "Word document" →
docx, "PDF" →pdf, "HTML" →html, "Markdown" →md - Default if not specified:
docx - Supported formats:
docx,pdf,html,md
- Look for keywords: "Word document" →
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.
- 6d ago First seen · 218 lines · 328 tokens per session scan A 596b13a0f327
Skywork Document is a skill published in the GitHub repository SkyworkAI/Skywork-Skills (202 stars, last pushed 5mo ago), licensed MIT. It adds 328 tokens to every session and 2,773 once invoked, about $0.0016 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.
Other skills, from other repositories
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。.
iflytek-ocr-invoice
Use when user asks to recognize invoices, extract receipt data, or OCR bills and tickets. Recognize and extract structured data from invoices, receipts, and bills using iFlytek OCR API (科大讯飞票据识别). Supports VAT invoices, taxi receipts, train tickets, toll invoices, medical bills, bank receipts, and more.
iflytek-pdf-image-ocr
AI-powered OCR service for images and PDF documents using iFlytek's advanced recognition APIs.
paper2slides
Turn an academic paper PDF into a presentation deck (.pptx) end-to-end. Use this skill whenever the user wants to "make slides from a paper", "generate a deck from this PDF", "make a PPT from this paper", "generate slides from a PDF document", "make a deck from a research paper", or supplies a research paper PDF and…
paper2wechat
把学术论文 PDF 转成微信公众号深度解读推文（长文 + 配图 + 封面）。你主导设计的协调式：机械活（MinerU 解析 PDF、生成封面、md2wechat 发布草稿箱）交给 scripts/ 下的小工具，论文理解、文章结构、长文撰写由你亲自完成并在关键点与用户确认。当用户说“论文转公众号”、“paper2wechat”、“把论文写成公众号文章”、“论文转微信推文”、“PDF 转公众号”时触发。.
paper2xhs
把学术论文 PDF 转成小红书多图帖（标题 + 正文 + 标签 + 封面 + 论文主图/主实验结果配图）。你主导设计的协调式：机械活（MinerU 解析 PDF、生成封面与配图、半自动发布）交给 scripts/ 下的小工具，论文理解、选题角度、文案撰写由你亲自完成并在关键点与用户确认。当用户说“论文转小红书”、“paper2xhs”、“把这篇论文发小红书”、“论文转社交媒体”、“PDF 转小红书帖子”时触发。.