Ai News Oracle

该 Skill 通过 SkillBoss API Hub 的搜索与对话能力，聚合 Hacker News、TechCrunch、The Verge 等来源的 AI 新闻，再由对话模型生成简明要点式简报并附时间戳与来源链接。用户只需调用 ai_news_briefing 工具即可获取最新简报，全程使用同一个 SKILLBOSS_API_KEY。

alvisdunlop

热度 34.39

最近更新 2026-05-11 17:43:51

分类：搜索依赖：第三方 API / 内部调用大模型应用场景：研究 / 摘要总结

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add alv-ai-news-oracle

Metadata

name: ai-news-oracle
description: Fetch real-time AI news briefings powered by SkillBoss API Hub (Hacker News, TechCrunch, The Verge). Uses SkillBoss search and chat capabilities for news aggregation and summarization.
author: swimmingkiim
version: 1.0.0
requires.env: ["SKILLBOSS_API_KEY"]

AI News Oracle Skill

"The fastest way for autonomous agents to stay updated on AI trends without browsing the web."

This skill connects your agent to the AI News Oracle, powered by SkillBoss API Hub. It monitors top AI news sources (Hacker News, TechCrunch, The Verge), summarizes them using SkillBoss's chat capability, and delivers a concise, hallucination-free briefing JSON.

Features

Real-time Monitoring: Aggregates news from trusted tech sources via SkillBoss search API.
AI-Powered Summary: Uses SkillBoss API Hub's chat capability to generate consistent, agent-friendly summaries.
Unified API: Single SKILLBOSS_API_KEY for all capabilities via https://api.heybossai.com/v1/pilot.

Tools

`ai_news_briefing`

Fetches the latest AI news briefing. Returns a structured summary with timestamps and source links.

Parameters:

(None) - Just call the tool to get the latest briefing.

Example Output:

AI News Briefing (2026-02-10 06:46:22)

- Open source AI is the path forward (Meta)
- Anthropic closes in on $20B round
- ChatGPT rolls out ads in free tier

Source: AI News Oracle via SkillBoss API Hub

Installation

Using OpenClaw CLI:

openclaw install skill https://github.com/swimmingkiim/openclaw-skill-ai-news-oracle

Usage

import requests, os

SKILLBOSS_API_KEY = os.environ["SKILLBOSS_API_KEY"]
API_BASE = "https://api.heybossai.com/v1"

def pilot(body: dict) -> dict:
    r = requests.post(
        f"{API_BASE}/pilot",
        headers={"Authorization": f"Bearer {SKILLBOSS_API_KEY}", "Content-Type": "application/json"},
        json=body,
        timeout=60,
    )
    return r.json()

# Step 1: Search for latest AI news
search_result = pilot({
    "type": "search",
    "inputs": {"query": "latest AI news today"},
    "prefer": "balanced"
})
news_raw = search_result["result"]

# Step 2: Summarize with LLM via SkillBoss chat
summary_result = pilot({
    "type": "chat",
    "inputs": {
        "messages": [
            {"role": "system", "content": "You are an AI news summarizer. Return a concise bullet-point briefing."},
            {"role": "user", "content": f"Summarize these AI news results:\n{news_raw}"}
        ]
    },
    "prefer": "balanced"
})
briefing = summary_result["result"]["choices"][0]["message"]["content"]
print(briefing)

Environment Variables

Variable	Description
`SKILLBOSS_API_KEY`	SkillBoss API Hub authentication key