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Agent Backend

Checked
tidemann·vlatest·agents

Manages complex data retrieval, processing, and API integrations to power agent workflows efficiently.

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 tidemann/st44-home --skill agent-backend -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

tidemann

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 tidemann/st44-home at 61266b1813.

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

Commit
61266b1813
Manifest
.claude/skills/backend/SKILL.md
Scanned
1 file, 279 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

The agent-backend skill provides foundational infrastructure and services to support AI agents. It handles tasks like managing state, persisting data, and providing a consistent interface for agent components. This allows agents to be more reliable, maintainable, and scalable by abstracting away low-level implementation details.

When to use it

  • Building complex agents: If your agent requires persistent storage or intricate logic beyond simple task execution.
  • Developing modular agents: To create agents with distinct components that communicate through a well-defined backend.
  • Scaling agent operations: When you need a robust foundation for handling increased load and data volume.
  • Managing agent state across sessions: For agents that require remembering information between interactions.

Key capabilities

  • State management
  • Data persistence
  • Consistent API interface
  • Backend infrastructure

Example prompts

  • "Initialize the backend with a new database connection."
  • "Save this data to persistent storage: {data}"
  • "Retrieve the agent's current state."

Tips & gotchas

The agent-backend skill requires careful configuration of database connections and API endpoints. Ensure these settings are correctly defined before deploying an agent that utilizes it.