Ecosystem trend dashboard (行情面板): snapshot the dsh-plugin topic and the awesome list into local history, then report weekly trends — new plugins, star gainers, category heat, awesome coverage — plus a keyword radar for new plugins and star surges.
Install
# from GitHub (first run asks for allowBuilds approval — follow the hint, retry)
dsh plugin --profile web add github:863683348/dsh-trend-radar
Any plugin you install runs third-party code with your own permissions — it can read your files, use your credentials, and reach the network, and tool approvals don’t sandbox it. GitHub-sourced plugins also run build scripts at install time — pnpm blocks those until you allow them, so an install can stop with ERR_PNPM_GIT_DEP_PREPARE_NOT_ALLOWED or ERR_PNPM_IGNORED_BUILDS; dsh prints the exact key to add under allowBuilds in your profile’s pnpm-workspace.yaml, and the install works on the next run. Allowing a build is a trust decision: only install sources you trust, and pin a commit (github:owner/repo#sha).
README
This plugin publishes its README in Chinese only.
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） |
staleHours |
1 |
快照新鲜度窗口（小时） |
surgeStars |
20 |
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） |
sectionOrder |
5 |
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.clientmanifest + 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_snapshottool auto-skips inside thestaleHourswindow (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-onlysnapshots-YYYY-MM-DD.jsonlpluswatch.json. Delete files to reset history. - The Web UI dashboard? On the roadmap — same experimental client-panel path as dsh-plugin-focus.
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