Plugin directory / Knowledge / dsh-daily-brief
dsh-daily-brief
Verified · install-tested on dsh Equinox7379
What it does
Daily activity brief for DSH: per-session turns/messages/tool-call stats. Read-only.
Works — verified, early-stage project
Daily activity brief for DSH: per-session turns/messages/tool-call stats. Read-only. It installs cleanly and boots without issues in our testing. It's early-stage but functional.
“Verified” means our automated CI actually ran dsh plugin add in a clean profile and it booted — nothing more. Feature descriptions and version compatibility are the author’s claims. This is not a security audit and not an endorsement of third-party code.
README
dsh-daily-brief
DeepSeek Harness 插件:统计 live 会话在最近 N 天内的活动量(回合、用户消息、助手回复、工具调用),供日报类问题使用。
用途
跨会话汇总当日工作量。所有数据来自内存中的 live 会话事件,不读磁盘、不改写任何东西。
用法
- 工具:
daily_brief - 参数:
days(默认 1)、sessionId(可选,只看某个会话)
示例(用户说「今日日报」后,AI 调用工具得到):
{ "windowDays": 1,
"totals": { "turns": 23, "userMessages": 12, "assistantMessages": 23, "toolCalls": 86, "toolResults": 86 },
"sessions": [ { "sessionId": "…", "cwd": "E:\\Yes", "turns": 20, "toolCalls": 79 } ] }
可靠性
- 只读:仅遍历
sessions.list()的事件数组; - 服务缺失或会话异常时返回空结果,不抛错;
- 零运行时依赖、无自定义会话事件、无 HTTP 路由。
安装
dsh plugin --profile web add link:/path/to/dsh-daily-brief
# 重启 dsh web
License
MIT
Install
Install the catalog once, then DeepSeek Harness can find and install any plugin from this site automatically:
dsh plugin add dshbase-catalog Then say "install dsh-daily-brief for me" — your agent finds it in the directory and installs it. Docs: dshbase-catalog · verified packs.
This plugin is GitHub source (not published to npm) — install it straight from the repo:
Web profile:
dsh plugin --profile web add github:Equinox7379/dsh-daily-brief Headless (CLI) profile:
dsh plugin --profile headless add github:Equinox7379/dsh-daily-brief Test report
Verified: L1 install + L2 load + L3 runtime from GitHub source on dsh 0.1.0-rc.6.
When to use it
Give the agent a memory, a knowledge base, or a retrieval layer so it stops forgetting context between sessions.
Who it's for
Users running long projects who want the agent to remember decisions, docs, and preferences without re-explaining.
For developers — extending it
The memory/retrieval backend is the seam — plug a new store, tune what gets distilled, or add citation and audit trails.