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Data Freshness Check

porastronomer·astronomer· v1.0.0 · atualizado em 2026-04-10
83
Score

Quick data freshness check. Use when the user asks if data is up to date, when a table was last updated, if data is stale, or needs to verify data currency before using it.

data-freshnessdata-qualitydata-validationdata-monitoringetldata-pipeline
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Documento do Skill

SKILL.mdchecking-freshness/workflow
1. Identify the table(s) to check for freshness.
2. Find relevant timestamp columns (e.g., `_loaded_at`, `updated_at`).
3. Query the maximum timestamp value for each table.
4. Calculate the age of the data (time since last update).
5. Determine freshness status based on the age (Fresh, Stale, Very Stale, Unknown).
6. If stale, check Airflow for the source DAG status.
7. Report the freshness status and any recommended actions.

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

Data Freshness Check
checking-freshness
Fases Cognitivas6
1.SENSE
2.CONTEXTUALIZE
3.EVALUATE
4.RECOMMEND
5.ACT
6.REFLECT
Triggers8
check if the data is up to dateis the data fresh?when was the table last updated?is the data stale?verify data currencycheck data freshnesshow recent is the data?is this data current?

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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 checking-freshness
$ synaptic skills detail checking-freshness
$ synaptic skills live checking-freshness

Links

GitHub Repository