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Skill Memory

Checked
memodb-io·vlatest·agents

Skill Memory retains and recalls past interactions for contextually richer conversations and more personalized responses.

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 memodb-io/skill-memory --skill skill-memory -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

memodb-io

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 memodb-io/skill-memory at 5217e8dd01.

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

Scanned
3 files, 80 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 provides AI agents with persistent memory capabilities. It allows agents to store and retrieve information across multiple interactions, enabling them to maintain context and learn from past experiences. The agent can access this stored data to inform future decisions and actions.

When to use it

  • Complex tasks requiring context: Use when an agent needs to remember details from earlier in a conversation or series of steps.
  • Personalized interactions: Enable the agent to recall user preferences or past behavior for tailored responses.
  • Learning and adaptation: Allow the agent to store successful strategies or outcomes, improving performance over time.
  • Multi-turn conversations: Maintain continuity in longer discussions where remembering previous topics is essential.

Key capabilities

  • Persistent storage of information
  • Retrieval of stored data
  • Contextual awareness across interactions
  • Learning from past experiences

Example prompts

  • "Remember that my favorite color is blue."
  • "What did I ask you earlier about the weather?"
  • "Based on our previous conversation, what's the best way to proceed?"
  • “Recall the steps we took last time.”

Tips & gotchas

The effectiveness of this skill depends on providing clear and concise information for storage. Large amounts of data may impact performance; consider strategies for summarizing or prioritizing key details.