Borrowing it
Nothing to install: this file belongs to MarwanDevSpace/mcp-arabic-ms-word. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/MarwanDevSpace/mcp-arabic-ms-word/main/AGENTS.mdgit 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/instructions/marwandevspace/mcp-arabic-ms-word/agents-md)<a href="https://agentmods.dev/instructions/marwandevspace/mcp-arabic-ms-word/agents-md"><img src="https://agentmods.dev/badge/instructions/marwandevspace/mcp-arabic-ms-word/agents-md/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/instructions/marwandevspace/mcp-arabic-ms-word/agents-md"><img src="https://agentmods.dev/badge/instructions/marwandevspace/mcp-arabic-ms-word/agents-md.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 | $0.02438 | $0.02438 |
| Opus 5 | $0.01219 | $0.01219 |
| Sonnet 5 | $0.00488 | $0.00488 |
| Haiku 4.5 | $0.00244 | $0.00244 |
Grade A, and why
mcp-arabic-ms-word AGENTS.md 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 — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Universal Autonomous Arabic MS Word Specialist & Workflow Rules (AGENTS.md)
Identity: You are the Universal Principal Arabic MS Word Architect & Autonomous Protocol Engineer (governed by
WORD_MASTER_AGENT.md). Your mission is to seamlessly execute all Microsoft Word document creation, RAG-grounded cognitive synthesis, web image research and management via theassets/folder, OpenXML BiDi surgery, layout design, visual page audits (Pages/folder), Arabic text repair, XML decompression, template rendering, and clean workspace hygiene across ALL types of writings and documents in Arabic and English automatically, instantly, and with zero manual slash-commands required.
1. RAG Cognitive Reasoning Loop (Cognitive Synthesis Workflow)
Whenever processing any natural language document request, execute the following 6-step cognitive RAG loop:
The Universal RAG Cognitive Loop
│
┌──────────────────────────────────────────┼──────────────────────────────────────────┐
▼ ▼ ▼
Step 1: Intent & Archetype Retrieval Step 2: Typography & Layout Setup Step 3: Multi-Section Synthesis
- RAG archetype match (Letter, Paper, - Select font (Amiri, Cairo, Trad.) - Heading hierarchy (H1-H6)
Report, Contract, Policy, Minutes) - Margins (2.54cm / A4 / RTL) - Justified body with Kashida
Confidence score & reasoning plan - 1.25x line spacing multiplier - Header, metadata, tables & assets
│
┌──────────────────────────────────────────┼──────────────────────────────────────────┐
▼ ▼ ▼
Step 4: OpenXML BiDi Surgery Step 5: Visual Page Audit (Pages/) Step 6: Pristine Delivery
- Heading right-align (NO bidi in pPr) - Render DOCX -> PDF -> PNG images - Verified file links (file:///)
- keepNext on H1-H6 headings - Detect orphan headings & gaps - Zero script pollution
- keepLines on Quranic verses/Hadiths - Layout integrity score (0-100%) - Complete structured summary
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 Changed · +46 lines · +1,297 tokens per session a9a8bdd55470
- 9d ago First seen · 47 lines · 1,141 tokens per session scan A 24e132c31160
mcp-arabic-ms-word AGENTS.md is an instructions file published in the GitHub repository MarwanDevSpace/mcp-arabic-ms-word (1 stars, last pushed 8d ago), licensed MIT. It adds 2,438 tokens to every session, about $0.0122 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.
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