LaunchKit · 2026
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token-manager

Universal LLM Token Manager - Monitor usage and provide cost-saving recommendations for Kimi, OpenAI, Anthropic.

4
1.7k downloads
by @kelegele

Setup & Installation

openclaw skills install @kelegele/token-manager

Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:

npx clawhub install token-manager

Version History

v1.2.0Feb 11, 2026 - Version note by skill developer:

**Summary: Adds scheduled monitoring and cross-session analytics with proactive alerts.** - Introduced scheduled monitoring and balance alerts via new scripts (`scheduler.js`). - Added cross-session tracking and analytics with session recording and reporting (`session-tracker.js`). - Enhanced documentation: streamlined SKILL.md, added setup guides, new commands, and clear cost-saving recommendations. - Provides sample cron job setups and tool integration steps. - All monitoring/alert state and session data are stored locally for privacy. - No changes to API usage or keys—still only local storage and official APIs.

What This Skill Does

Tracks LLM API token usage and costs across providers including Kimi/Moonshot, OpenAI, Anthropic, Gemini, and local Ollama models. Runs scheduled balance checks via cron, records cross-session spending patterns, and outputs cost-saving recommendations based on context usage and model selection.

Direct API balance querying for Kimi/Moonshot and local session recording means you get actual numbers rather than estimates scraped from provider dashboards.

When to use it

  • Checking how many tokens a session consumed before closing
  • Setting hourly alerts when Moonshot balance drops below a threshold
  • Comparing GPT-4o vs GPT-4o-mini costs for a given workload
  • Generating a weekly spending report across multiple LLM providers
  • Deciding whether to disable reasoning mode on a small task to cut costs

Example Workflow

Here's how your AI assistant might use this skill in practice.

INPUT

User asks: check my current token usage and get recommendations

AGENT
  1. 1Runs manager.js report with current session token counts, context window usage, and reasoning state
  2. 2Queries Moonshot API for live account balance
  3. 3Evaluates context usage thresholds and reasoning mode status against recommendation rules
  4. 4Outputs cost-saving suggestions such as compacting context or switching to a cheaper model
OUTPUT

Session report showing tokens in/out, estimated cost, remaining balance, and actionable recommendations like '/compact' or switching to kimi-k2.5

Requirements

Accounts, API keys, or tools you or your AI assistant may need to set up while using this skill.

MOONSHOT_API_KEY environment variable (required for Kimi/Moonshot balance queries)OPENAI_API_KEY environment variable (optional, for OpenAI usage tracking)ANTHROPIC_API_KEY environment variable (optional, for Anthropic usage tracking)