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Authentication Flow Rules

Checked
oimiragieo·vlatest·security

Defines custom authentication steps within a flow, enhancing security by tailoring login processes to specific needs and contexts.

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 oimiragieo/agent-studio --skill authentication-flow-rules -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

oimiragieo

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 oimiragieo/agent-studio at 64b580eab2.

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

Commit
64b580eab2
Manifest
.claude/skills/authentication-flow-rules/SKILL.md
Scanned
10 files, 489 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 allows AI agents to define and enforce rules governing authentication flows. It enables specifying conditions for user verification, such as multi-factor authentication requirements based on risk scores or device types. The skill ensures consistent application of security policies across different applications and services.

When to use it

  • Enforcing MFA: Implement mandatory multi-factor authentication for users accessing sensitive data or performing critical actions.
  • Risk-based Authentication: Trigger stronger authentication methods (e.g., biometric verification) when a login attempt is flagged as high risk.
  • Device Trust: Grant simplified access to trusted devices while requiring stricter authentication on unknown or untrusted devices.
  • Conditional Access Policies: Define rules that restrict access based on user roles, location, or time of day.

Key capabilities

  • Rule definition: Create and manage authentication flow rules with specific conditions and actions.
  • Risk assessment integration: Incorporate risk scores from external services to dynamically adjust authentication requirements.
  • Device recognition: Identify and categorize devices accessing the system.
  • Policy enforcement: Automatically apply defined rules during user login attempts.

Example prompts

  • "Create a rule that requires MFA for users with a risk score above 70."
  • "Define a policy to allow access from trusted devices without password authentication."
  • "Show me all active authentication flow rules."

Tips & gotchas

The skill relies on accurate risk assessment data; ensure integration with a reliable risk scoring service. Incorrectly configured rules can inadvertently block legitimate users, so thorough testing is recommended before deployment.