Content Hash Cache Pattern

Name: Content Hash Cache Pattern
Author: affaan-m

Checked

affaan-m·vlatest·other·MIT

This skill efficiently caches content hashes for rapid verification and duplicate detection, saving time & resources.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

Run this in your project

terminal

$ npx skills add affaan-m/ecc --skill content-hash-cache-pattern -a claude-code

Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

affaan-m

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned 28 Sept 2026

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned affaan-m/everything-claude-code at d3b8a3e908.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit: d3b8a3e908
Manifest: skills/content-hash-cache-pattern/SKILL.md
Scanned: 3 files, 457 lines
Copies in repo: 3 — all of them scanned

This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.

What each check looks for →

About this skill

What it does

The content-hash-cache-pattern skill enables AI agents to efficiently manage and retrieve data using a caching mechanism based on content hashes. It ensures that identical content is stored only once, reducing redundancy and improving performance in systems where repeated data access occurs.

When to use it

When optimizing data retrieval speed for frequently accessed files or resources.
In applications requiring deduplication of content to save storage space.
For distributed systems where consistent caching across nodes is essential.
When handling large volumes of data with potential repetition, such as in media libraries or document repositories.

Key capabilities

Generates unique hashes for content to identify duplicates.
Implements a cache system that stores and retrieves content based on these hashes.
Reduces redundant storage by ensuring each piece of content is stored only once.
Improves performance through faster access times for previously cached data.

Example prompts

"Implement a caching strategy using content hashes for media files."
"Detect duplicate documents in the database and cache them efficiently."
"Optimize file retrieval speed using a hash-based cache system."

Tips & gotchas

Ensure that hashing algorithms used are consistent across all systems to avoid mismatches.
Be mindful of storage limitations, as caching large content may consume significant resources.