content-hash-cache-pattern

Cache file processing results using SHA-256 content hashes.

302|21|Updated May 10, 2026
One-click install
npx skills add https://github.com/virgo777/buddyme --skill content-hash-cache-pattern-virgo777
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: content-hash-cache-pattern
Source: https://github.com/virgo777/buddyme/tree/main/buddyMe/skill_library/skills/content-hash-cache-pattern
Command: npx skills add https://github.com/virgo777/buddyme --skill content-hash-cache-pattern-virgo777

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

使用 SHA-256 内容哈希缓存高昂的文件处理结果,解决依赖文件路径的脆弱性以及在文件变更时的缓存失效问题。

Core Features & Use Cases

  • 基于内容哈希的缓存键,文件重命名/移动不影响缓存命中。
  • 针对大文件的分块哈希,避免将整个文件加载到内存。
  • 提供缓存条目数据模型与服务层封装,易于在现有处理流水线中接入。
  • 适用于 PDF/图像/文本提取等高成本的流水线场景,并可通过 CLI 开启 --cache / --no-cache。

Quick Start

启用缓存:为输入文件计算 SHA-256 内容哈希并使用内容哈希缓存结果。

Frequently Asked Questions about content-hash-cache-pattern

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I cache expensive file processing results without using file paths?

Caching file processing results by content hash involves computing a SHA-256 hash of the file content and using it as the cache key. This ensures cache validity even if files are renamed or moved, preventing redundant processing for identical content.

Why does my file processing cache miss when files are moved or renamed?

Path-based caches fail on rename or move because the path changes while content remains the same. Keying cache entries on SHA-256 content hash instead of file path solves this by matching identical content regardless of location.

What is the best way to cache large file processing results in Python without loading files into memory?

Chunked hashing allows computing SHA-256 content hashes for large files without loading them entirely into memory. This generates deterministic cache keys for the cache service while keeping memory usage low during file processing.

Can I integrate a content hash cache into an existing PDF or OCR processing pipeline?

Yes, integrating a content hash cache into PDF or OCR pipelines requires pure processing functions and a cache service managing JSON entries. This prevents redundant processing when identical file content is encountered repeatedly.

Does content hash caching work with command line interfaces for document processing?

Yes, content hash caching supports CLI toggles like --cache and --no-cache. This allows enabling or disabling cache lookups for file processing pipelines directly from the command line during document extraction tasks.