Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
Openclaw Skill Minimax Tracker
Track and monitor MiniMax API usage with real-time progress bars, automatic resets, and scheduled reminders for OpenClaw agents.
skill openclawclawhub Free
Track and monitor MiniMax API usage with real-time progress bars, automatic resets, and scheduled reminders for OpenClaw agents.
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0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- README-CN.md, README.md, SKILL.md, minimax_tracker.py
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 0.1.0
Provenance
- Publisher
- QiaoTuCodes
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Skill Information
Skill Name: openclaw-skill-minimax-tracker Version: 1.0.0 Author: QiaoTuCodes (Weiran), Yanyan Description: Track and monitor MiniMax API usage with progress bars and reminders for OpenClaw Repository: https://github.com/QiaoTuCodes/openclaw-skill-minimax-tracker
Overview
This skill provides real-time tracking for MiniMax API usage. It calculates usage based on prompts consumed, tracks remaining quota, and displays progress in a compact bar format. Designed for OpenClaw agents to monitor API usage between resets.
Features
Real-time prompts usage tracking Visual progress bar with key metrics (RST/TTL/PKG/USE/REM/NXT) Automatic reset time calculation (15:00-20:00 UTC+8) JSON-based persistent storage Cron-ready for scheduled reminders
Commands
# Add usage (after API call) python3 minimax_tracker.py add [n] # View detailed status python3 minimax_tracker.py status # View compact progress bar python3 minimax_tracker.py compact
Output Format
[โโโโโโโโโโโโโโโโโโโโ] 98% RST:18:00 TTL:1h40m PKG:Starter USE:2/40 REM:38 NXT:19:19
Integration with OpenClaw
# In your skill or agent code import subprocess # Track usage after each API call result = subprocess.run( ["python3", "path/to/minimax_tracker.py", "add", "1"], capture_output=True, text=True )
Cron Setup (Every 3 Hours)
{ "name": "minimax-usage-check", "schedule": "0 */3 * * *", "payload": { "kind": "agentTurn", "message": "Run: python3 ~/openclaw-workspace/skills/openclaw-skill-minimax-tracker/minimax_tracker.py compact" } }
Configuration
Edit the CONFIG dict in minimax_tracker.py: ParameterDefaultDescriptionmax_prompts40Monthly prompts limitreset_hour_start15Reset window start (UTC+8)reset_hour_end20Reset window end (UTC+8)check_interval_hours3Reminder interval
Data Storage
Usage data is stored in: ~/.openclaw/workspace/minimax_usage_data.json Format: { "usage_records": [ {"time": "2026-02-27T16:19:00", "prompts": 1} ], "current_usage": 2, "last_reset": "2026-02-27T18:00:00", "last_check": "2026-02-27T16:23:00" }
Dependencies
Python 3.8+ (standard library only, no pip packages needed)
Installation
# Copy to OpenClaw skills folder cp -r openclaw-skill-minimax-tracker ~/openclaw-workspace/skills/
License
MIT License - See LICENSE file
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
3 Docs1 Scripts
- SKILL.md
- README-CN.md
- README.md
- minimax_tracker.py