dsh-period-report
Run the following command in DeepSeek Harness:
dsh plugin install zhengjy01/dsh-period-report
Paste the following prompt into your AI chat to install this plugin:
Run dsh plugin install zhengjy01/dsh-period-report in your DeepSeek Harness terminal to install; source: https://github.com/zhengjy01/dsh-period-report
About this plugin
Working daily in DeepSeek Harness, your session log grows fast, yet pulling together what you actually did this week means scrolling through dozens of conversations by hand. dsh-period-report solves that: it extracts structured data from your session corpus and lets the deployed model write a natural-language digest (at-a-glance summary, highlights, review, suggestions) that reads like a human-authored report, backed by full statistics such as active sessions, message counts, tool calls, token usage, and top tools.
Beyond on-demand reports for any date range, it supports free-interval periodic reminders. Set daily, weekly, or every N days at a specific time, and it will generate the report automatically, firing a macOS Notification Center banner or a Linux notify-send toast. Reports are also persisted to a local directory so nothing is lost when the GUI is closed. The whole pipeline works in both Chinese and English.
If you use DeepSeek Harness for personal projects or everyday development and want a low-friction, structured progress log without extra writing overhead, this plugin lets you ship a polished report on schedule with zero manual effort.
Use Cases
- Generate a daily or weekly work recap at a fixed time, pop a system notification, and read the summary on the spot
- Pull a full statistical breakdown and AI-narrated digest over a custom date range when a project hits a mid-sprint checkpoint
- Keep a zero-effort progress log that generates itself on schedule — no manual writing required
Best For
- Solo developers who code daily in DeepSeek Harness and want a ready-made recap
- Engineers who need periodic structured reports but do not want to write summaries by hand
- Individual users who want to turn scattered session data into readable digests at minimal effort
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