ai-rtl-resolver: Ai Chatbot RTL Resolver

by miladniroee · Agent Tool · ★ 121

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Security audit verdict: SAFE · quality 65/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

ai-toolsarabicchatbotchatgptclaudedeepseekextensiongeminimathematicsnotebooklm

Quick Facts

Stars121
Forks7
LanguageTypeScript
CategoryAgent Tool
LicenseMIT
Quality Score65/100
Open Issues4
Last Updated2026-10-13
Created2026-02-01
Platformsclaude-code, gemini, node
Est. Tokens~14k

About ai-rtl-resolver

Ai RTL Resolver A browser extension that fixes text direction for Persian, Arabic, and other RTL languages on ChatGPT, Claude, Deepseek and Gemeni. Table of Contents Features Installation Usage Supported Websites License Support Features ✅ Automatically detects and fixes RTL text direction on AI chat platforms ✅ Preserves mathematical formulas and code blocks (LTR) ✅ Works with Persian (Farsi),...

Compatible Skills

These tools work well together with ai-rtl-resolver for enhanced workflows:

  • deepseek-thinker-mcp — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (51%)
  • flompt — semantic(0.21)+complementary+rare_topics+similar_pop+shared_platform (47%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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