glm-plan-usage
by @orientluna
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
clawhub install openclaw-glm-plan-usage📖 About This Skill
name: glm-plan-usage displayName: GLM Plan Usage version: 1.0.0 description: 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 author: OpenClaw Community license: MIT tags: - glm - usage - monitoring - statistics - zhipu - chinese - english requirements: - curl - jq
GLM Plan Usage Skill
查询 GLM 编码套餐使用统计的 OpenClaw 技能。 OpenClaw skill for querying GLM coding plan usage statistics.
功能特性 / Features
依赖要求 / Requirements
如需安装 jq：
To install jq:
sudo apt-get install jq # Linux
brew install jq # macOS
安装 / Installation
1. 将此仓库克隆到本地： Clone this repository to local:
git clone https://github.com/OrientLuna/openclaw-glm-plan-usage.git
cd openclaw-glm-plan-usage
2. 复制技能文件到 OpenClaw 技能目录： Copy skill files to OpenClaw skills directory:
cp -r . ~/.openclaw/skills/glm-plan-usage/
chmod +x ~/.openclaw/skills/glm-plan-usage/scripts/query-usage.sh
3. 确保已配置 GLM 编码套餐提供商（见下方配置说明） Ensure GLM coding plan provider is configured (see Configuration below)
使用方法 / Usage
直接运行脚本 / Run Script Directly
bash ~/.openclaw/skills/glm-plan-usage/scripts/query-usage.sh
通过 OpenClaw 技能调用 / Via OpenClaw Skill
openclaw /glm-plan-usage:usage-query
语言切换 / Language Switching
脚本会自动检测语言环境。您也可以通过环境变量强制指定语言： The script automatically detects language environment. You can also force language via environment variable:
# 中文输出 / Chinese output
OPENCLAW_LANGUAGE=zh bash ~/.openclaw/skills/glm-plan-usage/scripts/query-usage.sh英文输出 / English output
OPENCLAW_LANGUAGE=en bash ~/.openclaw/skills/glm-plan-usage/scripts/query-usage.sh
示例输出 / Sample Output
📊 GLM 编码套餐使用统计 / GLM Coding Plan Usage Statistics提供商 / Provider: zhipu
统计时间 / Statistics Time: 2026-02-13 20:30:15
配额限制 / Quota Limits
Token 使用 (5小时) / Token Usage (5-hour): 45.2%
MCP 使用 (1个月) / MCP Usage (1-month): 12.3% (15000/120000 秒 / sec) [LEVEL_4]模型使用 (24小时) / Model Usage (24 hours)
总 Token 数 / Total Tokens: 12,500,000
总调用次数 / Total Calls: 1,234工具使用 (24小时) / Tool Usage (24 hours)
bash: 156 次 / times
file-read: 89 次 / times
web-search: 34 次 / times
配置说明 / Configuration
技能会自动读取 ~/.openclaw/openclaw.json 中的提供商配置。
The skill automatically reads provider configuration from ~/.openclaw/openclaw.json.
示例配置 / Sample Configuration
{
"agents": {
"defaults": {
"model": {
"primary": "zhipu/glm-4-flash"
}
}
},
"models": {
"providers": {
"zhipu": {
"baseUrl": "https://open.bigmodel.cn/api/coding/paas/v4",
"apiKey": "your-api-key-here"
}
}
}
}
重要: baseUrl 必须包含 api/coding/paas/v4 或 open.bigmodel.cn，技能才能识别其为 GLM 编码套餐提供商。
Important: baseUrl must contain api/coding/paas/v4 or open.bigmodel.cn for the skill to recognize it as a GLM coding plan provider.
提供商检测逻辑 / Provider Detection Logic
技能会检查以下条件来识别 GLM 编码套餐提供商： The skill checks the following conditions to identify GLM coding plan providers:
1. baseUrl 包含 api/coding/paas/v4 或 open.bigmodel.cn
baseUrl contains api/coding/paas/v4 or open.bigmodel.cn
2. 提供商名称包含 coding、glm-coding、zhipu 或 bigmodel
Provider name contains coding, glm-coding, zhipu, or bigmodel
API 端点 / API Endpoints
技能查询三个监控端点： The skill queries three monitoring endpoints:
| 端点 | Endpoint | 用途 | Purpose |
|------|----------|------|---------|
| /api/monitor/usage/quota/limit | 配额百分比（5小时 Token，1个月 MCP） | Quota percentage (5-hour token, 1-month MCP) |
| /api/monitor/usage/model-usage | 24小时模型使用统计 | 24-hour model usage statistics |
| /api/monitor/usage/tool-usage | 24小时 MCP 工具使用 | 24-hour MCP tool usage |
详见 API 文档。 See API Documentation for details.
错误处理 / Error Handling
脚本为常见问题提供友好的错误提示： The script provides friendly error messages for common issues:
故障排除 / Troubleshooting
"缺少依赖工具，请安装: jq" / "Missing dependency, please install: jq"
使用包管理器安装 jq： Install jq using package manager:
sudo apt-get install jq # Linux
brew install jq # macOS
"未找到配置 GLM 编码套餐的提供商" / "No GLM coding plan provider configured"
确保提供商的 baseUrl 包含 api/coding/paas/v4。更新配置：
Ensure the provider's baseUrl contains api/coding/paas/v4. Update configuration:
{
"models": {
"providers": {
"your-provider": {
"baseUrl": "https://open.bigmodel.cn/api/coding/paas/v4",
"apiKey": "your-key"
}
}
}
}
"认证失败，请检查 API 密钥配置" / "Authentication failed, please check API key"
验证 API 密钥是否正确： Verify API key is correct:
jq -r '.models.providers.zhipu.apiKey' ~/.openclaw/openclaw.json
贡献指南 / Contributing
欢迎贡献！请遵循以下步骤： Contributions welcome! Please follow these steps:
1. Fork 本仓库 | Fork this repository
2. 创建特性分支 (git checkout -b feature/amazing-feature) | Create feature branch
3. 提交更改 (git commit -m 'Add some amazing feature') | Commit changes
4. 推送到分支 (git push origin feature/amazing-feature) | Push to branch
5. 开启 Pull Request | Open Pull Request
许可证 / License
MIT License - 详见 LICENSE 文件。 MIT License - See LICENSE file for details.