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Trend Radar — DSH Plugin for DeepSeek Harness
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dsh-trend-radar

Trend Radar

Ecosystem trend dashboard ('行情面板') for dsh plugins: snapshot the dsh-plugin topic and awesome list into local history, then report weekly trends — new plugins, star gainers, category heat, awesome coverage — plus keyword radar for new plugins and star surges, and an experimental web panel

The plugin will be installed here. Keep web if you are unsure.

npx -y @deepseek-ai/dsh plugin --profile web add github:863683348/dsh-trend-radar#238ccd97948617fe8dd92f9ee5c5c05360592026
READMECompatibilityVersions

Compatibility and provenance

Trend Radar is published as dsh-trend-radar and currently resolves to version 0.2.1. The Hub verifies its manifest and preserves the exact installation source for reproducible installs.

DSH compatibility
*
Runtime surfaces
web
Release source
github
Registry updated
9/11/2026

Versions

0.2.1stable
9/11/2026

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Latest
0.2.1
DSH
*
HMR
Process restart
Tree shaking
Safe tree shaking not declared
Unpacked size
Unavailable
Files
Unavailable
Surface
web
License
MIT
Source
github
GitHub
★ 1
Weekly downloads
0
Last push
9/11/2026
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README

dsh-trend-radar — 生态行情面板 (Ecosystem trend dashboard)

别人是目录,你是仪表盘。 每小时对 dsh-plugin topic 与 awesome-dsh-plugin 收录列表做一次快照(本地 JSONL 历史),然后从时间维度分析趋势:周报、新插件雷达、star 增速榜、类别热度、收录覆盖率 —— 并带一个 experimental 的 Web 面板(增长曲线、类别热度、Top 榜单)直接叠在会话输入框上方。

为什么需要它

  • 现有市场/目录都是"当前时刻"的静态视图;趋势是空白——没有人在看"这周新增了什么、谁在涨、哪个类别在热"。
  • 快照只占本地磁盘(每条约几十 KB JSONL),分析全部本地完成。

工具

工具作用
trend_snapshot立即采集一次快照(GitHub topic:dsh-plugin 搜索 + awesome 收录树),追加到本地历史;窗口期内自动跳过(force: true 强制)
trend_report分析历史 → 周报:新增插件、star 增速榜、类别热度、awesome 覆盖率;支持 days 窗口与 keywords 过滤
trend_watch关键词订阅雷达:add/remove/list/check——新品命中或 star 突增(≥surgeStars)即报

安装

dsh plugin --profile <profile> add dsh-trend-radar

配置

键默认说明
dataDir.dsh/trends快照与订阅的存储目录(相对宿主 fs cwd)
staleHours1快照新鲜度窗口(小时)
surgeStars20雷达的 star 突增阈值
githubTokenEnv``可选:GitHub token 的环境变量名(匿名 API 限流 60 次/小时,够用;设 token 更稳)
sectionOrder5提示词段落顺序

Web 面板(experimental)

装在有 Web UI 的 profile 上时,插件把最近一次 trend_report / trend_snapshot 的仪表盘数据(增长曲线、类别热度、新增插件榜、star 增速榜)通过 session projection 推给浏览器,渲染成输入框上方的只读面板。让 Agent 跑一次 trend_snapshot 或 trend_report 面板即刷新;每次新 turn 自动清空,避免展示过期数据。

数据流

GitHub search (topic:dsh-plugin, top 100)
  + awesome-dsh-plugin git tree (data/plugins/*.yml)
        ↓ collectSnapshot()
.data dsh/trends/snapshots-YYYY-MM-DD.jsonl   (append-only)
        ↓ computeReport() / deltaBetween()
trend_report (周报) · trend_watch (雷达) · trend_snapshot (增量)

设计

  • 纯逻辑分离:lib/trends.js(增量/周报/雷达过滤/渲染)、lib/storage.js(JSONL + watch.json)、lib/github.js(采集 + 解析分离)——全部零 DSH/Cordis 依赖,可单测。
  • 安全:只读公开 API,写本地数据目录;无 secrets、无注入。
  • Web 面板:lib/client.js 走 dsh-plugin-focus 同款 experimental client 模式(dsh.client manifest + session projection),待运行实例验证。

测试

node test/trends.test.mjs

License

MIT

FAQ

  • How often should I snapshot? The trend_snapshot tool auto-skips inside the staleHours window (default 1h). There is no background timer; collection happens when a tool runs and the history is stale.
  • Rate limits? Anonymous GitHub search is 10 req/min / 60 req/h — plenty for hourly snapshots. Set githubTokenEnv (e.g. GH_T) to a token for 5000 req/h.
  • Where is the data? dataDir (default .dsh/trends): append-only snapshots-YYYY-MM-DD.jsonl plus watch.json. Delete files to reset history.
  • The Web UI dashboard? On the roadmap — same experimental client-panel path as dsh-plugin-focus.