openclaw-glm-plan-usage查询 GLM 编码套餐使用统计,包括配额、模型使用和 MCP 工具使用情况 | Query GLM coding plan usage statistics, including quota, model usage, and MCP tool usage
Install via ClawdBot CLI:
clawdbot install orientluna/openclaw-glm-plan-usageGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Potentially destructive shell commands in tool definitions
rm -rf ~Calls external URL not in known-safe list
https://github.com/OrientLuna/openclaw-glm-plan-usage.gitUses known external API (expected, informational)
api.anthropic.comAudited Apr 17, 2026 · audit v1.0
Generated Mar 22, 2026
A software development team using GLM models for coding assistance can monitor token and MCP usage to stay within plan limits and optimize resource allocation. This helps prevent unexpected overages and ensures efficient use of the coding plan during peak development cycles.
Large organizations with multiple teams using GLM coding plans can track usage statistics across departments to manage budgets and forecast expenses. This enables centralized oversight of AI tool consumption and supports cost-effective scaling of AI initiatives.
Independent developers or freelancers relying on GLM models for project work can use this skill to monitor daily token and tool usage, ensuring they maximize their plan benefits without exceeding quotas. It aids in planning workloads and avoiding service interruptions.
Universities or training programs offering AI coding courses can implement this skill to track student usage of GLM models and MCP tools, helping manage institutional plan limits and provide usage insights for curriculum adjustments.
Early-stage startups integrating GLM models into their products can use this skill to monitor API usage patterns, identify high-consumption features, and optimize model calls to reduce costs while maintaining performance during growth phases.
Companies offering AI-powered coding tools on a subscription basis can integrate this skill to provide customers with usage dashboards, enhancing transparency and helping users manage their tiered plans effectively. This can reduce support queries and improve customer retention.
Consulting firms can use this skill to audit client AI usage, offering tailored recommendations for optimizing GLM plan consumption and reducing costs. This creates a value-added service for businesses looking to maximize their AI investments.
SaaS platforms that incorporate GLM models can embed this skill to offer built-in usage analytics, attracting customers who need detailed monitoring and reporting features. This differentiates the platform in competitive markets and drives upsells.
💬 Integration Tip
Ensure the OpenClaw configuration file includes a valid GLM provider with the correct baseUrl and API key to avoid authentication errors during usage queries.
Scored Jun 19, 2026
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