Learn-skills.dev opennews

Crypto news search, AI ratings, trading signals, and real-time updates via the OpenNews 6551 API. Supports keyword search, coin filtering, source filtering, AI score ranking, and WebSocket live feeds.

install

source · Clone the upstream repo

git clone https://github.com/NeverSight/learn-skills.dev

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/NeverSight/learn-skills.dev "$T" && mkdir -p ~/.claude/skills && cp -r "$T/data/skills-md/6551team/openskills/opennews" ~/.claude/skills/neversight-learn-skills-dev-opennews && rm -rf "$T"

manifest: data/skills-md/6551team/openskills/opennews/SKILL.md

source content

OpenNews Crypto News Skill

Query crypto news from the 6551 platform REST API. All endpoints require a Bearer token via

$OPEN_TOKEN

Base URL:

https://ai.6551.io

Prerequisites

All requests require the header:

Authorization: Bearer $OPEN_TOKEN

Recommended: find or create a .env file in your project root, Load it before performing news operations.

OPEN_TOKEN=your_token_here

Get your API token at: https://6551.io/mcp

Security warning: Never commit .env to git (add it to .gitignore) and never expose credentials in logs, screenshots, or chat messages.

News Operations

1. Get News Sources

Fetch all available news source categories organized by engine type.

curl -s -H "Authorization: Bearer $OPEN_TOKEN" \
  "https://ai.6551.io/open/news_type"

Returns a tree with engine types (

news

listing

onchain

meme

market

) and their sub-categories.

2. Search News

POST /open/news_search

is the primary search endpoint.

Get latest news:

curl -s -X POST "https://ai.6551.io/open/news_search" \
  -H "Authorization: Bearer $OPEN_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"limit": 10, "page": 1}'

Search by keyword:

curl -s -X POST "https://ai.6551.io/open/news_search" \
  -H "Authorization: Bearer $OPEN_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"q": "bitcoin ETF", "limit": 10, "page": 1}'

Search by coin symbol:

curl -s -X POST "https://ai.6551.io/open/news_search" \
  -H "Authorization: Bearer $OPEN_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"coins": ["BTC"], "limit": 10, "page": 1}'

Filter by engine type and news type:

curl -s -X POST "https://ai.6551.io/open/news_search" \
  -H "Authorization: Bearer $OPEN_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"engineTypes": {"news": ["Bloomberg", "Reuters"]}, "limit": 10, "page": 1}'

Only news with coins:

curl -s -X POST "https://ai.6551.io/open/news_search" \
  -H "Authorization: Bearer $OPEN_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"hasCoin": true, "limit": 10, "page": 1}'

News Search Parameters

Parameter	Type	Required	Description
`limit`	integer	yes	Max results per page (1-100)
`page`	integer	yes	Page number (1-based)
`q`	string	no	Full-text keyword search
`coins`	string[]	no	Filter by coin symbols (e.g. `["BTC","ETH"]` )
`engineTypes`	map[string][]string	no	Filter by engine and news types
`hasCoin`	boolean	no	Only return news with associated coins

Important: You need to understand the user's query intent and perform word segmentation, then combine them using OR/AND to form search keywords, supporting both Chinese and English.

Data Structures

News Article

{
  "id": "unique-article-id",
  "text": "Article headline / content",
  "newsType": "Bloomberg",
  "engineType": "news",
  "link": "https://...",
  "coins": [{"symbol": "BTC", "market_type": "spot", "match": "title"}],
  "aiRating": {
    "score": 85,
    "grade": "A",
    "signal": "long",
    "status": "done",
    "summary": "Chinese summary",
    "enSummary": "English summary"
  },
  "ts": 1708473600000
}

Common Workflows

Quick Market Overview

curl -s -X POST "https://ai.6551.io/open/news_search" \
  -H "Authorization: Bearer $OPEN_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"limit": 10, "page": 1}' | jq '.data[] | {text, newsType, signal: .aiRating.signal}'

High-Impact News (score >= 80)

curl -s -X POST "https://ai.6551.io/open/news_search" \
  -H "Authorization: Bearer $OPEN_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"limit": 50, "page": 1}' | jq '[.data[] | select(.aiRating.score >= 80)]'

Notes

Get your API token at https://6551.io/mcp
Rate limits apply; max 100 results per request
AI ratings may not be available on all articles (check
```
status == "done"
```
)