Dynamic Dashboard：用子代理并行拉取多源指标并定时发布

解决多数据源指标“串行抓取慢、面板过期快”的问题：通过子代理并行采集 + 定时聚合，持续输出可执行的运营/系统看板。

GITHUBDiscovered 2026-02-12Author hesamsheikh

Prerequisites

At least one metrics sink is ready (Postgres/SQLite table) and OpenClaw can write to it.
Data source credentials are prepared for each monitored domain (e.g., GitHub/social/market/system).

Steps

Create a metrics schema first (source, metric_name, metric_value, timestamp) and keep one row per measurement.
Define one orchestrator prompt that spawns sub-agents per source and runs them in parallel, not sequentially.
After each cycle, aggregate all source outputs into one dashboard message (text/HTML/Canvas) and post to a fixed channel.
Add threshold alerts (e.g., CPU > 90%, star spike, sentiment drop) so anomalies bypass normal digest cadence.
Schedule refresh with cron (e.g., every 15 min) and keep historical snapshots for trend queries.

Commands

CREATE TABLE metrics (id SERIAL PRIMARY KEY, source TEXT, metric_name TEXT, metric_value NUMERIC, timestamp TIMESTAMPTZ DEFAULT NOW());

CREATE TABLE alerts (id SERIAL PRIMARY KEY, source TEXT, condition TEXT, threshold NUMERIC, last_triggered TIMESTAMPTZ);

openclaw gateway status

Verify

Under one full cycle, dashboard updates include all configured sources and alert rules can be triggered by synthetic threshold tests.

Caveats

Parallel fetch increases API pressure; enforce per-source concurrency and backoff to avoid rate-limit storms.
The use-case page is community-authored; exact connector names/availability must be validated in your environment（需验证）.

Source attribution

This tip is aggregated from community/public sources and preserved with attribution.