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Context

Checked
simhacker·vlatest·other·MIT

This "Context" skill provides relevant background information to enhance conversations, improving understanding and response accuracy.

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 simhacker/moollm --skill context -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

simhacker

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 simhacker/moollm at 8f6d840b2f.

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

Scanned
1 file, 356 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 allows an AI agent to maintain and utilize contextual information during a conversation or task. It remembers previous interactions, user preferences, and relevant details to provide more informed and personalized responses. The agent can recall past statements and actions to build upon them in subsequent turns.

When to use it

  • Long-form conversations: When you need the AI to remember details across multiple messages or a prolonged discussion.
  • Personalized assistance: To tailor responses based on previously stated user preferences or needs.
  • Complex tasks requiring memory: For situations where the agent needs to track steps, variables, or conditions over time.
  • Following up on previous requests: To ensure the AI remembers and acts upon earlier instructions.

Key capabilities

  • Maintains conversational history
  • Recalls user preferences
  • Tracks task progress
  • Utilizes past interactions for informed responses

Example prompts

  • "Remember I said my favorite color is blue, now suggest a paint scheme."
  • "What was the last step we discussed in setting up the server?"
  • “Based on our previous conversation about travel destinations, recommend something similar.”

Tips & gotchas

The effectiveness of this skill depends on the agent's ability to accurately store and retrieve contextual information. Very long or complex conversations may exceed the agent’s memory capacity.