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Memory

Checked
jinfanzheng·vlatest·other·MIT

This "Memory" skill allows you to store and retrieve past interactions, enhancing context and enabling more natural, persistent conversations.

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 jinfanzheng/kode-sdk-csharp --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

jinfanzheng

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 jinfanzheng/kode-sdk-csharp at 8531dbdfa5.

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

Commit
8531dbdfa5
Manifest
examples/Kode.Agent.WebApiAssistant/skills/memory/SKILL.md
Scanned
1 file, 60 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 a short-term memory. It allows them to recall and reference information from previous interactions within a single conversation or task, improving context awareness and response quality. The agent can store and retrieve facts, instructions, or observations to maintain coherence and avoid repetitive questioning.

When to use it

  • Complex tasks: When an AI needs to remember details across multiple steps of a process (e.g., planning a trip with several destinations).
  • Conversational agents: To enable more natural and contextually relevant conversations, avoiding the need for users to repeat information.
  • Data extraction: To retain extracted data points during iterative refinement or validation processes.
  • Following instructions: When an agent needs to remember specific constraints or preferences provided earlier in a conversation.

Key capabilities

  • Short-term memory storage
  • Information retrieval from previous interactions
  • Contextual awareness enhancement
  • Improved response coherence

Example prompts

  • "Remember that I prefer Italian food."
  • "What was the first city we discussed for my trip?"
  • "Can you summarize what we've decided so far about the project?"

Tips & gotchas

The memory is short-term; information will be lost when the conversation ends. Be mindful of the amount of data stored, as excessive storage can impact performance.