Ai News Oracle

v1.0.0

Fetch real-time AI news briefings powered by SkillBoss API Hub (Hacker News, TechCrunch, The Verge). Uses SkillBoss search and chat capabilities for news agg...

0· 71· 1 versions· 0 current· 0 all-time· Updated 1w ago· MIT-0

by@alvisdunlop

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