القائمة
Monitor Minimax Coding Plan usage to stay within API limits. Fetches current usage stats and provides status alerts.
يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.
اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
يتجاوز الأمر المباشر Prompt المخصّص للمراجعة. افحص المصدر قبل تشغيله.
npx skills add https://github.com/duclm1x1/Dive-Ai --skill minimax-usageيبقى الأمر في سطر واحد. مرّر أفقيًا لمراجعته كاملًا قبل النسخ.
تفضّل نسخة محلية؟ نزّل الملفات المتاحة حاليًا لدى SkillsMP.
استنادا إلى تصنيف SOC المهني
عرض SKILL.md
| name | minimax-usage |
| description | Monitor Minimax Coding Plan usage to stay within API limits. Fetches current usage stats and provides status alerts. |
| metadata | {"clawdbot":{"emoji":"📊"}} |
Monitor Minimax Coding Plan usage to stay within limits.
Create a .env file in the same directory as the script:
MINIMAX_CODING_API_KEY=your_api_key_here
MINIMAX_GROUP_ID=your_group_id_here
Get your GroupId from: https://platform.minimax.io/user-center/basic-information (under "Basic Information")
./minimax-usage.sh
🔍 Checking Minimax Coding Plan usage...
✅ Usage retrieved successfully:
📊 Coding Plan Status (MiniMax-M2):
Used: 255 / 1500 prompts (17%)
Remaining: 1245 prompts
Resets in: 3h 17m
💚 GREEN: 17% used. Plenty of buffer.
Endpoint:
GET https://platform.minimax.io/v1/api/openplatform/coding_plan/remains?GroupId={GROUP_ID}
Required Headers:
accept: application/json, text/plain, */*
authorization: Bearer {MINIMAX_CODING_API_KEY}
referer: https://platform.minimax.io/user-center/payment/coding-plan
user-agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36
| Metric | Value |
|---|---|
| Reset window | 5 hours (dynamic) |
| Max target | 60% usage |
| 1 prompt ≈ | 15 model calls |
Persistent memory system for AI agents following Model Context Protocol (MCP). Use for storing long-term memories across sessions, semantic search of past knowledge, building knowledge graphs, auto-injecting context, deduplicating memories, syncing to cloud storage. Essential for agents that need to remember decisions, solutions, preferences, and learned patterns over time.
Persistent memory system for AI agents following Model Context Protocol (MCP). Use for storing long-term memories across sessions, semantic search of past knowledge, building knowledge graphs, auto-injecting context, deduplicating memories, syncing to cloud storage. Essential for agents that need to remember decisions, solutions, preferences, and learned patterns over time.
Master REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs that delight developers. Use when designing new APIs, reviewing API specifications, or establishing API design standards.