ClawHub

Trend Forecast

Requires python3, and AISA_API_KEY. Uses the supplied AISA_API_KEY to send requests to https://api.aisa.one. Native-first ClawHub plugin for `trend-forecast`. Ships the packaged AIsa skill with an `openclaw.plugin.json` manifest and a Claude-compatible bundle fallback. Multi-signal trend forecasting for autonomous agents. Combines prediction market odds, Twitter/X social sentiment, news velocity, and stock market data into a unified trend analysis with confidence scoring. Powered by AIsa — one API key, five data streams. Use when: the user needs X/Twitter research, monitoring, posting, or engagement workflows.

Install

openclaw plugins install clawhub:trend-forecast-plugin

Trend Forecast Plugin

ClawHub/OpenClaw native-first plugin wrapper for the packaged AIsa skill.

Runtime Requirements

  • Required bins: python3
  • Required env vars: AISA_API_KEY
  • Primary env: AISA_API_KEY
  • Network targets: https://api.aisa.one

What It Ships

  • Bundle plugin id: trend-forecast-plugin
  • Native manifest: openclaw.plugin.json
  • Native entrypoint: index.js
  • Embedded skill: skills/trend-forecast/SKILL.md
  • Format: native OpenClaw plugin plus Claude-compatible bundle fallback

Why This Format

  • Uses the OpenClaw-native manifest path that current plugin docs expect.
  • Keeps the packaged skill payload intact under skills/ for ClawHub/OpenClaw skill loading.
  • Retains .claude-plugin/plugin.json so Claude-compatible marketplace tooling still recognizes the package.
  • Reuses the already-hardened clawhub-release/ skill payload.

Provenance

  • Source repository: https://github.com/baofeng-tech/agent-skills-io
  • Embedded skill path: skills/trend-forecast/SKILL.md
  • The runtime behavior remains inside the packaged skill payload and its public docs.

Install After Publishing

openclaw plugins install clawhub:trend-forecast-plugin

Publish Locally

clawhub package publish ./plugins/trend-forecast-plugin --dry-run
clawhub package publish ./plugins/trend-forecast-plugin

Notes

  • Runtime requirements and guardrails remain inside skills/trend-forecast/SKILL.md.
  • If both native and bundle markers exist, OpenClaw prefers the native plugin path.
  • This package keeps side effects explicit and relies on the packaged skill's repo-local defaults where applicable.