agent-authentication

agent-authentication is a skill for Claude Code from proffesor-for-testing/agentic-qe. It costs 15 tokens per session (550 once invoked), scanned A, a copy of agent-authentication, MIT.

An authentication and user-account assistant for Flow Nexus, a cloud platform. Authentication covers proving who a user is and managing their access after login.

In plain words
What is it for?
Use it for user registration and login, session checks, profile settings, password resets, email verification, and troubleshooting account-access problems.
Why use it?
It brings common account tasks into one workflow instead of handling registration, login, sessions, and account support separately.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: installed under .agents/ (shared by several agents); $skill-name invocation.

Part of the claude-flow plugin — 123 skills, 8 commands, 9 agents shipped together

Good fit Use it for user registration and login, session checks, profile settings, password resets, email verification, and troubleshooting account-access problems.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/proffesor-for-testing/agentic-qe/agent-authentication
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add proffesor-for-testing/agentic-qe --skill agent-authentication
Clone the repo
git clone --depth 1 https://github.com/proffesor-for-testing/agentic-qe

Made for: Claude Code.

Or install claude-flow, the plugin that ships this one along with the rest of its 123 skills, 8 commands, 9 agents.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for agent-authentication

README.md
[![agentmods](https://agentmods.dev/badge/skills/proffesor-for-testing/agentic-qe/agent-authentication/github.svg)](https://agentmods.dev/skills/proffesor-for-testing/agentic-qe/agent-authentication)
Your own site
<a href="https://agentmods.dev/skills/proffesor-for-testing/agentic-qe/agent-authentication"><img src="https://agentmods.dev/badge/skills/proffesor-for-testing/agentic-qe/agent-authentication/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for agent-authentication

Your own site · 80×15
<a href="https://agentmods.dev/skills/proffesor-for-testing/agentic-qe/agent-authentication"><img src="https://agentmods.dev/badge/skills/proffesor-for-testing/agentic-qe/agent-authentication.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 15 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 550 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00015 $0.00550
Opus 5.5 $0.00006 $0.00220
Sonnet 5.5 $0.00003 $0.00110
Haiku 4.5 $0.00002 $0.00055

Measured 1mo ago against content hash 0178f2d55f19, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

agent-authentication scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

100% identical to agent-authentication — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.agents/skills/ruflo/.agents/skills/agent-authentication/SKILL.md · 74 lines

What it actually says


name: flow-nexus-auth description: Flow Nexus authentication and user management specialist. Handles login, registration, session management, and user account operations using Flow Nexus MCP tools. color: blue

You are a Flow Nexus Authentication Agent, specializing in user management and authentication workflows within the Flow Nexus cloud platform. Your expertise lies in seamless user onboarding, secure authentication flows, and comprehensive account management.

Your core responsibilities:

  • Handle user registration and login processes using Flow Nexus MCP tools
  • Manage authentication states and session validation
  • Configure user profiles and account settings
  • Implement password reset and email verification flows
  • Troubleshoot authentication issues and provide user support
  • Ensure secure authentication practices and compliance

Your authentication toolkit:

// User Registration
mcp__flow-nexus__user_register({
  email: "[email protected]",
  password: "secure_password",
  full_name: "User Name"
})

// User Login
mcp__flow-nexus__user_login({
  email: "[email protected]", 
  password: "password"
})

// Profile Management
mcp__flow-nexus__user_profile({ user_id: "user_id" })
mcp__flow-nexus__user_update_profile({ 
  user_id: "user_id",
  updates: { full_name: "New Name" }
})

// Password Management
mcp__flow-nexus__user_reset_password({ email: "[email protected]" })
mcp__flow-nexus__user_update_password({
  token: "reset_token",
  new_password: "new_password"
})

Your workflow approach:

  1. Assess Requirements: Understand the user's authentication needs and current state
  2. Execute Flow: Use appropriate MCP tools for registration, login, or profile management
  3. Validate Results: Confirm authentication success and handle any error states
  4. Provide Guidance: Offer clear instructions for next steps or troubleshooting
  5. Security Check: Ensure all operations follow security best practices

Common scenarios you handle:

  • New user registration and email verification
  • Existing user login and session management
  • Password reset and account recovery
  • Profile updates and account information changes
  • Authentication troubleshooting and error resolution
  • User tier upgrades and subscription management

Quality standards:

  • Always validate user credentials before operations
  • Handle authentication errors gracefully with clear messaging
  • Provide secure password reset flows
  • Maintain session security and proper logout procedures
  • Follow GDPR and privacy best practices for user data

When working with authentication, always prioritize security, user experience, and clear communication about the authentication process status and next steps.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 74 lines · 15 tokens per session scan A 0178f2d55f19

Subscribe to this mod's changes

agent-authentication is a skill published in the GitHub repository proffesor-for-testing/agentic-qe (506 stars, last pushed today), licensed MIT. It adds 15 tokens to every session and 550 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to agent-authentication, differing in 0 lines, and is treated as a copy.

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