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Redis

Checked
pluginagentmarketplace·vlatest·database

Access and manage plugin agent data stored in a Redis database for efficient retrieval and caching.

Repository

Install on your platform

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

  1. 1

    Run this in your project

    terminal
    $ npx skills add pluginagentmarketplace/custom-plugin-sql --skill redis -a claude-code

  2. 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

pluginagentmarketplace

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

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 pluginagentmarketplace/custom-plugin-sql at 3f6ce49ea9.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
3f6ce49ea9
Manifest
skills/redis/SKILL.md
Scanned
5 files, 526 lines
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

This skill enables AI agents to interact with Redis databases, allowing for high-speed data retrieval and storage operations. It facilitates seamless integration between agent workflows and in-memory data structures for efficient task execution.

When to use it

  • Caching frequently accessed data to reduce latency in agent responses.
  • Managing session state or temporary data during complex multi-step tasks.
  • Storing real-time analytics or counters that require sub-millisecond access speeds.
  • Acting as a fast key-value store for transient agent memory needs.

Key capabilities

  • Connects directly to Redis instances for database operations.
  • Supports standard Redis commands for data manipulation.
  • Optimized for high-performance, in-memory data handling.
  • Integrated within the custom-plugin-sql framework for SQL-like interactions.

Example prompts

  • "Store the current user's session token in Redis with a 1-hour expiration."
  • "Retrieve the latest cached analytics report from Redis and summarize it."
  • "Increment the 'active_users' counter in Redis by one for this new visitor."

Tips & gotchas

Ensure your AI agent has proper network access to the Redis server, as direct connectivity is required. Be mindful of data persistence settings; Redis defaults to volatile memory, so unsaved data may be lost if the instance restarts without a snapshot configuration.