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QVeris — Search & Action Engine

porqverisai·qverisai· v1.0.0 · atualizado em 2026-04-10
82
Score

This skill is currently empty and does not provide any functionality.

ai-agentstool-selectionapi-integrationqverisstructured-datareal-time-dataexternal-apis
Linguagens
TypeScriptJavaScriptPython
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Documento do Skill

SKILL.mdqveris-official/workflow
1. Determine if the task requires structured data or external tool capabilities.
2. Search QVeris for relevant tools using a capability-based query.
3. Evaluate the search results based on success rate and other criteria.
4. Execute the selected tool with appropriate parameters.
5. Handle errors by adjusting parameters or switching tools.
6. If QVeris fails, fall back to web search or other alternatives.
7. Store successful tool usages in a `known_qveris_tools` file.
8. Periodically refresh the `known_qveris_tools` file.

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

QVeris — Search & Action Engine
qveris-official
Fases Cognitivas6
1.SENSE
2.CONTEXTUALIZE
3.HYPOTHESIZE
4.EVALUATE
5.ACT
6.REFLECT
Triggers7
search qveris for a toolfind an api for real-time datause qveris to execute a taskget structured data from qverisintegrate qveris into an ai agentfind a tool for image generation in qverissearch for a tool to get stock prices

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 qveris-official
$ synaptic skills detail qveris-official
$ synaptic skills live qveris-official

Dependências

QVERIS_API_KEY

Links

GitHub Repository