Skip to content
TrustedSkillsbeta
Back to all skills

Authentication Patterns

Listed
athola·vlatest·security·MIT

Identifies and flags suspicious authentication patterns indicative of account compromise or fraudulent activity.

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 athola/claude-night-market --skill authentication-patterns -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

athola

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No credential access: failed

    Touches credential material in 1 place.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

    What it found

    • plugins/leyline/skills/authentication-patterns/modules/auth-methods.md:17environment file outside the project
      echo "GEMINI_API_KEY=your-key-here" >> ~/.env

  • 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 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 athola/claude-night-market at 9045831255.

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

Commit
9045831255
Manifest
plugins/leyline/skills/authentication-patterns/SKILL.md
Scanned
7 files, 1,506 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 athola-authentication-patterns skill provides guidance on implementing secure authentication methods for AI agents. It offers patterns and best practices to protect user data and prevent unauthorized access, covering topics from passwordless login to multi-factor authentication. This skill helps ensure that your agent's interactions are safe and trustworthy.

When to use it

  • Developing a new AI agent: Integrate authentication patterns early in the development process for robust security.
  • Integrating with sensitive data sources: Implement secure authentication when accessing databases or APIs containing personal information.
  • Responding to security audits: Use this skill to review and improve existing authentication mechanisms based on industry best practices.
  • Building user-facing AI applications: Ensure a safe and reliable experience for users interacting with your agent.

Key capabilities

  • Provides guidance on various authentication methods.
  • Offers best practices for secure implementation.
  • Covers passwordless login patterns.
  • Includes multi-factor authentication considerations.

Example prompts

  • "What are some secure ways to implement user authentication in an AI agent?"
  • "Explain the benefits and drawbacks of passwordless login for my application."
  • "How can I add multi-factor authentication to my AI agent’s access controls?"

Tips & gotchas

This skill assumes a basic understanding of security principles. Consider consulting with a security expert for complex implementations or when dealing with highly sensitive data.