Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
自动监控和显示会话状态信息,包括token消耗、模型信息和功能状态。支持开关控制和自定义显示格式。
自动监控和显示会话状态信息,包括token消耗、模型信息和功能状态。支持开关控制和自定义显示格式。
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
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. Summarize what changed and any follow-up checks I should run.
自动在每次对话回复中添加简洁的会话状态信息,包括: 当前使用的模型 输入/输出 token 消耗 上下文使用率 功能开关状态(Reasoning/Elevated等)
默认格式:[🧠 qwen3-max | 📥123k/📤420 | Context: 47%] 可配置格式选项: compact: 紧凑模式 [qwen3-max|123k/420|47%] detailed: 详细模式(包含功能状态) hidden: 隐藏模式(仅通过命令查看)
/token on # 启用状态显示 /token off # 禁用状态显示 /token toggle # 切换显示状态
/token format compact # 设置紧凑格式 /token format detailed # 设置详细格式 /token format default # 恢复默认格式
/status # 查看详细状态信息 /token # 查看当前token统计
通过环境变量控制默认行为: SESSION_MONITOR_ENABLED=true|false (默认: true) SESSION_MONITOR_FORMAT=default|compact|detailed|hidden (默认: default)
此技能与 OpenClaw 的 hooks 系统集成,在每次响应后自动注入状态信息。 支持与其他监控技能协同工作,如 task-persistence 和 gateway-monitor。
启用后,每条消息底部会自动显示: 这是正常的回复内容... [🧠 qwen3-max | 📥123k/📤420 | Context: 47%]
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
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