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Content-Hash File Cache Pattern

poraffaan-m·affaan-m· v1.0.0 · atualizado em 2026-04-10
79
Score

Cache expensive file processing results using SHA-256 content hashes — path-independent, auto-invalidating, with service layer separation.

cachingfile-processingsha-256content-hashingpythondata-serializationservice-layer
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Documento do Skill

SKILL.mdcontent-hash-cache-pattern/workflow
Compute the SHA-256 hash of the file content.
Check if the hash exists as a `.json` file in the cache directory.
If the cache file exists, deserialize the JSON and return the cached result.
If the cache file doesn't exist, execute the original file processing function.
Serialize the result into JSON and save it as `{hash}.json` in the cache directory.
Return the processed result.

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

Content-Hash File Cache Pattern
content-hash-cache-pattern
Fases Cognitivas5
1.SENSE
2.CONTEXTUALIZE
3.HYPOTHESIZE
4.ACT
5.REFLECT
Triggers7
implement content-hash based cachingcache file processing resultsuse SHA-256 for cachingadd caching to a file processing pipelinecreate a cache for expensive file operationsimplement a --cache option for a CLI toolcache results based on file content

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 content-hash-cache-pattern
$ synaptic skills detail content-hash-cache-pattern
$ synaptic skills live content-hash-cache-pattern

Dependências

hashlibpathlibdataclassesjson

Links

GitHub Repository