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 MarwanDevSpace/mcp-arabic-ms-word --skill arabic-doc-designergit clone --depth 1 https://github.com/MarwanDevSpace/mcp-arabic-ms-wordWrote 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/marwandevspace/mcp-arabic-ms-word/arabic-doc-designer)<a href="https://agentmods.dev/skills/marwandevspace/mcp-arabic-ms-word/arabic-doc-designer"><img src="https://agentmods.dev/badge/skills/marwandevspace/mcp-arabic-ms-word/arabic-doc-designer/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/marwandevspace/mcp-arabic-ms-word/arabic-doc-designer"><img src="https://agentmods.dev/badge/skills/marwandevspace/mcp-arabic-ms-word/arabic-doc-designer.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 | $0.00060 | $0.00842 |
| Opus 5 | $0.00030 | $0.00421 |
| Sonnet 5 | $0.00012 | $0.00168 |
| Haiku 4.5 | $0.00006 | $0.00084 |
Grade A, and why
arabic-doc-designer 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 7d 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 — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Universal Arabic Document Designer & RAG Logic Engine
This skill provides universal principles, cognitive reasoning, and automated tool workflows for generating, structuring, styling, and polishing ANY Microsoft Word document in Arabic or English using the mcp-arabic-ms-word server.
1. Cognitive RAG Archetype Analysis
Never limit documents to a fixed subset of types. When receiving ANY document request from the user, dynamically evaluate:
-
Archetype Grounding:
- Official Letters & Ministerial Memos: High-clarity serif fonts (
Amiri), formal Basmala, recipient block, justified body with Kashida, and formal sign-offs. - Academic Research Papers & Theses: Classic academic fonts (
Traditional Arabic), multi-tier sections (المقدمة، المباحث، المطالب), Quranic verses wrapped in<w:keepLines/>, footnotes, and isolated English abstracts. - Executive Reports & Dashboards: Sleek modern sans fonts (
Cairo,Sakkal Majalla), dark blue headings (#1F4E78), styled data tables with alternating row shading, and KPI metrics. - Legal Contracts & Commercial Agreements: Preamble, numbered articles (H3), binding obligations, and side-by-side signature blocks.
- Operating Manuals & Policy Guidelines: Multi-level heading hierarchy (H1-H6), process tables, callouts, and clean margins.
- Official Letters & Ministerial Memos: High-clarity serif fonts (
-
Standard Typography Hierarchy:
- Title / H1: 20-22 pt, Bold, Color
#003366or#1F4E78,<w:keepNext/>. - Section / H2: 16-18 pt, Bold,
<w:keepNext/>. - Subsection / H3: 14-15 pt, Bold.
- Body Text: 13-14 pt, 1.25x line spacing, RTL, justified (
w:bidi+w:jc="both"). - Footers: Centered dynamic page numbers (
صفحة X من Y).
- Title / H1: 20-22 pt, Bold, Color
2. Autonomous Tool Invocation Workflows
Pattern A: Single-Shot RAG Generation (Recommended)
{
"tool": "resolve_and_execute_document_intent",
"arguments": {
"prompt": "أنشئ لي بحث أكاديمي محكم عن الذكاء الاصطناعي في الفقه المقارن...",
"outputPath": "AI_Comparative_Jurisprudence_Research.docx",
"subject": "الذكاء الاصطناعي في الفقه المقارن",
"author": "الباحث الأكاديمي"
}
}
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.
- 7d ago Changed · +10 lines 1d9941e616b9
- 11d ago First seen · 51 lines · 60 tokens per session scan A 88022947b107
arabic-doc-designer is a skill published in the GitHub repository MarwanDevSpace/mcp-arabic-ms-word (1 stars, last pushed 10d ago), licensed MIT. It adds 60 tokens to every session and 842 once invoked, about $0.0003 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 2026-08-31.
Other skills, from other repositories
baoyu-youtube-transcript
A tool for downloading the written captions, subtitles, chapter information, speaker labels, and cover image from a YouTube video using its URL or ID.
orbit-notion
Open Orbit briefing skill — selected by the Orbit pipeline when Notion is the user's only connected connector, or when the user explicitly scopes their daily digest to Notion. Pulls the past 24 hours of document edits, comments, mentions, and database row changes from the user's authenticated Notion connection and…
instrument-data-to-allotrope
Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full…
feishu
Work with Feishu or Lark bots, docs, sheets, bitables, approval flows, and OpenAPI/MCP setup without hardcoding credentials.
read
Reads URLs and PDFs by fetching source content, defaulting to concise summaries for plain read requests and clean Markdown when asked to convert, save, quote, cite, or feed downstream work. Use when users ask in any language to read, fetch, check, summarize, quote, cite, convert, or save a URL or PDF. Not for local…
overleaf-sync
A two-way connection between a local paper folder and Overleaf, a web-based LaTeX editor for writing research papers. It lets you move changes between the local files and the shared Overleaf project.