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Workspace

Checked
aws-samples·vlatest·agents·MIT

This Workspace skill creates a shared, persistent environment for your AI agents, enabling consistent data access and collaboration across sessions.

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 aws-samples/sample-strands-agent-with-agentcore --skill workspace -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

aws-samples

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 aws-samples/sample-strands-agent-with-agentcore at 4c1933d9e3.

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

Commit
4c1933d9e3
Manifest
chatbot-app/agentcore/skills/workspace/SKILL.md
Scanned
1 file, 65 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 access to a workspace, likely for managing files or performing tasks within a defined environment. The specific functionality of the workspace isn't detailed in the provided source material, but it implies an organized area for agent activities. It allows agents to interact with and manipulate data within this designated space.

When to use it

  • When an AI agent needs a dedicated location to store temporary files generated during processing.
  • For tasks requiring separation of concerns or isolation from other agent operations.
  • To provide the agent with a persistent environment across multiple interactions.
  • If you need to manage and organize data specifically for use by the agent.

Key capabilities

  • Provides access to a workspace
  • Allows agents to interact within a defined environment

Example prompts

  • "Create a new file in my workspace called 'report.txt'."
  • "List all files currently stored in my workspace."
  • "Move the image I just generated into my workspace."

Tips & gotchas

The functionality of the workspace is not fully defined, so its capabilities may be limited depending on the underlying implementation. Consider consulting additional documentation or contacting the skill author for more details about supported operations.