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AlphaEar News Skill

porrkiding·rkiding· v1.0.0 · atualizado em 2026-04-10
78
Score

Fetch hot finance news, unified trends, and prediction financial market data. Use when the user needs real-time financial news, trend reports from multiple finance sources (Weibo, Zhihu, WallstreetCN, etc.), or Polymarket finance market prediction data.

financial-newstrend-analysisprediction-marketsreal-time-datadata-aggregationmarket-analysis
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Documento do Skill

SKILL.mdalphaear-news/workflow
1. Receive user request for financial news, trends, or predictions.
2. Identify the required data sources (e.g., Weibo, WallstreetCN, Polymarket).
3. Fetch data using `fetch_hot_news` or `get_market_summary`.
4. Aggregate data from multiple sources if needed using `get_unified_trends`.
5. Format the data into a readable report.
6. Present the report to the user.

Telemetria de Agentes

Execuções
0
total
Taxa de Sucesso
0%
últimos 30d
Latência Média
0.0s
p50
Alucinação
0.0%
detecção
Tokens Entrada
0
avg 0/exec
Tokens Saída
0
avg 0/exec

Uso por Plataforma

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Árvore do Skill

AlphaEar News Skill
alphaear-news
Fases Cognitivas4
1.SENSE
2.CONTEXTUALIZE
3.ACT
4.RECOMMEND
Triggers8
fetch financial newsget the latest market trendsshow me prediction market datawhat's the hot news in finance?summarize financial trendsretrieve Polymarket predictionsfind news from Weibo and WallstreetCNget a unified trend report

Avaliar este Skill

Score Breakdown

⭐Avaliação Humana0%
🤖Sucesso de Agentes0%
🕐Atualidade100%
🔗Saúde de Dependências100%
🕸️Centralidade no Grafo0%
🛡️Segurança50%
CompositeScore = α·Humano + β·Agente + γ·Recência + δ·Deps + ε·Centralidade + ζ·Segurança

Instalação

$ synaptic mcp download alphaear-news
$ synaptic skills detail alphaear-news
$ synaptic skills live alphaear-news

Dependências

requestsloguruscripts/database_manager.py

Links

GitHub Repository