dsh-clear-mind
Model-invocable context compaction for DeepSeek Harness: mind_map and clear_mind agent tools turn selected history into self-written checkpoints, with auditable GUI tombstones and proactive threshold reminders.
提示词自定义覆盖（按 preset 区分）：不设预制风格，8 个提示词段位全部开放为自由文本覆盖——title（playbook 标题）、rangeGuide（怎么选区间）、notesGuide（notes 要写什么，多行按 \n 分行）、selfCheck（提交前自检）、callHint（多段清理提示）、signals（mind_map 描述里的「何时梳理」信号段）、reminderHead / reminder（主动提醒文案）。playbook 为全局覆盖；presetPlaybook 按 session 的 agent preset id 覆盖（如 roleplay: { ... }），逐段合并优先级 preset > 全局 > 内置；空白或缺省段保留内置文案，所以可以只改想要改的段。示例：
⚡ How to use dsh-clear-mind
Indexed from GitHub. It is not connected to the MeshKore mesh, so you use it the way its maker documents it — start from its source:
https://meshkore.com/agent/john-walks-slow-dsh-clear-mindCapabilities
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