validating-authentication-implementations
About
This skill enables Claude to validate authentication implementations against security best practices, analyzing methods like JWT, OAuth, and session management. Use it to perform security checks, assess password policies, evaluate MFA, or analyze session security. Trigger it with phrases like "validate authentication" or "authcheck" for a detailed vulnerability report.
Documentation
Overview
This skill allows Claude to assess the security of authentication mechanisms in a system or application. It provides a detailed report highlighting potential vulnerabilities and offering recommendations for improvement based on established security principles.
How It Works
- Initiate Validation: Upon receiving a trigger phrase, the skill activates the
authentication-validatorplugin. - Analyze Authentication Methods: The plugin examines the implemented authentication methods, such as JWT, OAuth, session-based, or API keys.
- Generate Security Report: The plugin generates a comprehensive report outlining potential vulnerabilities and recommended fixes related to password security, session management, token security (JWT), multi-factor authentication, and account security.
When to Use This Skill
This skill activates when you need to:
- Assess the security of an application's authentication implementation.
- Identify vulnerabilities in password policies and session management.
- Evaluate the security of JWT tokens and MFA implementation.
- Ensure compliance with security best practices and industry standards.
Examples
Example 1: Assessing JWT Security
User request: "validate authentication for jwt implementation"
The skill will:
- Activate the
authentication-validatorplugin. - Analyze the JWT implementation, checking for strong signing algorithms, proper expiration claims, and audience/issuer validation.
- Generate a report highlighting any vulnerabilities and recommending best practices for JWT security.
Example 2: Checking Session Security
User request: "authcheck session cookies"
The skill will:
- Activate the
authentication-validatorplugin. - Analyze the session cookie settings, including HttpOnly, Secure, and SameSite attributes.
- Generate a report outlining any potential session fixation or CSRF vulnerabilities and recommending appropriate countermeasures.
Best Practices
- Password Hashing: Always use strong hashing algorithms like bcrypt or Argon2 with appropriate salt generation.
- Token Expiration: Implement short-lived access tokens and refresh token rotation for enhanced security.
- Multi-Factor Authentication: Encourage or enforce MFA to mitigate the risk of password compromise.
Integration
This skill can be used in conjunction with other security-related plugins to provide a comprehensive security assessment of an application. For example, it can be used alongside a code analysis plugin to identify potential code-level vulnerabilities related to authentication.
Quick Install
/plugin add https://github.com/jeremylongshore/claude-code-plugins-plus/tree/main/authentication-validatorCopy and paste this command in Claude Code to install this skill
GitHub 仓库
Related Skills
sglang
MetaSGLang is a high-performance LLM serving framework that specializes in fast, structured generation for JSON, regex, and agentic workflows using its RadixAttention prefix caching. It delivers significantly faster inference, especially for tasks with repeated prefixes, making it ideal for complex, structured outputs and multi-turn conversations. Choose SGLang over alternatives like vLLM when you need constrained decoding or are building applications with extensive prefix sharing.
evaluating-llms-harness
TestingThis Claude Skill runs the lm-evaluation-harness to benchmark LLMs across 60+ standardized academic tasks like MMLU and GSM8K. It's designed for developers to compare model quality, track training progress, or report academic results. The tool supports various backends including HuggingFace and vLLM models.
llamaguard
OtherLlamaGuard is Meta's 7-8B parameter model for moderating LLM inputs and outputs across six safety categories like violence and hate speech. It offers 94-95% accuracy and can be deployed using vLLM, Hugging Face, or Amazon SageMaker. Use this skill to easily integrate content filtering and safety guardrails into your AI applications.
langchain
MetaLangChain is a framework for building LLM applications using agents, chains, and RAG pipelines. It supports multiple LLM providers, offers 500+ integrations, and includes features like tool calling and memory management. Use it for rapid prototyping and deploying production systems like chatbots, autonomous agents, and question-answering services.
