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Fullstack Guardian

Checked
hainamchung·vlatest·backend·MIT

Monitors full-stack applications for errors, performance bottlenecks, and security vulnerabilities, proactively alerting developers.

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 hainamchung/agent-assistant --skill fullstack-guardian -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

hainamchung

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 hainamchung/agent-assistant at 89cb983bb4.

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

Commit
89cb983bb4
Manifest
skills/fullstack-guardian/SKILL.md
Scanned
11 files, 2,355 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 hainamchung-fullstack-guardian skill provides capabilities for AI agents to assist with full-stack development tasks. It's designed to help streamline workflows and offer guidance across various stages of software creation, from initial setup to deployment. The specific functionalities are not detailed in the provided source content.

When to use it

  • When you need assistance setting up a new project or environment.
  • For debugging code or identifying potential issues within an existing application.
  • To get guidance on best practices for full-stack development.
  • During deployment processes, ensuring smooth and efficient releases.

Key capabilities

  • Full-stack development assistance
  • Project setup support
  • Debugging aid
  • Deployment guidance

Example prompts

  • "Help me set up a new React frontend with a Node.js backend."
  • "I'm getting an error in my API route; can you help me debug it?"
  • "What are some best practices for deploying a full-stack application to AWS?"

Tips & gotchas

The skill’s specific capabilities and limitations aren't detailed, so experimentation with different prompts is recommended. Success may depend on the agent having sufficient context about the project or environment.