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-text-repairgit 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-text-repair)<a href="https://agentmods.dev/skills/marwandevspace/mcp-arabic-ms-word/arabic-text-repair"><img src="https://agentmods.dev/badge/skills/marwandevspace/mcp-arabic-ms-word/arabic-text-repair/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-text-repair"><img src="https://agentmods.dev/badge/skills/marwandevspace/mcp-arabic-ms-word/arabic-text-repair.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 | $0.00045 | $0.00466 |
| Opus 5 | $0.00023 | $0.00233 |
| Sonnet 5 | $0.00009 | $0.00093 |
| Haiku 4.5 | $0.00005 | $0.00047 |
Grade A, and why
arabic-text-repair 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 8d 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.
What it actually says
Arabic Text Repair & Typography Skill
This skill guides the automated detection, diagnosis, and precision repair of Arabic text defects and formatting inconsistencies before insertion into Microsoft Word documents.
1. Common Defects & Diagnostic Criteria
-
Inverted Parentheses & Punctuation Marks:
- In mixed Arabic/Latin contexts or numeric parentheticals, punctuation marks such as
(,),[,],.frequently flip orientation in Word. - Solution: Set
fixInvertedPunctuation: true.
- In mixed Arabic/Latin contexts or numeric parentheticals, punctuation marks such as
-
Digit Format Inconsistency:
- Documents mixing Western numerals (
1, 2, 3) with Eastern Arabic numerals (١, ٢, ٣). - Solution: Standardize across the document via
standardizeDigits: 'eastern'(or'western').
- Documents mixing Western numerals (
-
Alef & Dotless Yeh Standardization:
- Unifying hamza forms on Alef (
أ,إ,آ->ا) or normalizing final Yeh (ى->ي). - Solution: Enable
normalizeAlef: trueand/ornormalizeYeh: true.
- Unifying hamza forms on Alef (
-
Excess Kashida (Tatweel) Removal:
- Stripping unwanted tatweel (
ـ) characters from extracted OCR or legacy text. - Solution: Set
removeKashida: true.
- Stripping unwanted tatweel (
2. Execution via MCP Tool
{
"tool": "repair_arabic_text_formatting",
"arguments": {
"text": "النص العربي المراد فحصه وإصلاحه (123) ـتـجـربـةـ",
"fixInvertedPunctuation": true,
"standardizeDigits": "eastern",
"trimExtraSpaces": true,
"normalizeAlef": false,
"normalizeYeh": false,
"removeKashida": true
}
}
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.
- 8d ago Changed · +21 lines a796200bd50b
- 12d ago First seen · 27 lines · 45 tokens per session scan A 9c6d9623690e
arabic-text-repair is a skill published in the GitHub repository MarwanDevSpace/mcp-arabic-ms-word (1 stars, last pushed 10d ago), licensed MIT. It adds 45 tokens to every session and 466 once invoked, about $0.0002 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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