tzurot-security

Enforce security practices for secrets, user input, and AI providers across microservices and supply chains.

7|2|Updated May 17, 2025
One-click install
npx skills add https://github.com/lbds137/tzurot --skill tzurot-security
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: tzurot-security
Source: https://github.com/lbds137/tzurot/tree/main/.claude/skills/tzurot-security
Command: npx skills add https://github.com/lbds137/tzurot --skill tzurot-security

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Building AI-powered microservices introduces unique security challenges, from secret management to prompt injection and economic denial-of-service. This Skill codifies essential security best practices, helping you protect your project from vulnerabilities and costly incidents.

Core Features & Use Cases

  • Never Commit Secrets: Enforce strict pre-commit checks to prevent accidental exposure of API keys, tokens, and database credentials.
  • PII Scrubbing: Automatically detect and redact Personally Identifiable Information (PII) before storage or embedding to protect user privacy.
  • Economic DoS Prevention: Implement token budgeting and rate limiting to prevent malicious or accidental overspending on AI APIs.
  • Prompt Injection Awareness: Detect and mitigate "jailbreak" attempts to bypass system instructions and sanitize AI outputs before they reach users.
  • Microservices Security: Secure internal communication with signed payloads and harden admin endpoints with robust authentication and rate limiting.

Quick Start

Use the tzurot-security skill to review your recent code changes for any accidental secret commits, then implement PII scrubbing for user input before it's stored in the database.

Frequently Asked Questions about tzurot-security

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I prevent secrets like API keys from being accidentally committed to my repository?

Pre-commit checks enforce strict validation to block API keys, tokens, and database credentials before they reach version control. This catches secret leakage at the source, preventing exposure in your repository history and reducing the blast radius of compromised credentials across microservices.

What's the best way to scrub personally identifiable information before storing user data?

PII scrubbing automatically detects and redacts sensitive user information before storage or embedding. This protects user privacy, reduces compliance risk, and ensures logs and databases don't inadvertently expose names, emails, or other identifiers.

How can I prevent prompt injection attacks in AI-powered applications?

Prompt injection detection identifies jailbreak attempts and sanitizes AI outputs before they reach users. This hardens your system against malicious input that bypasses system instructions, protecting the integrity of AI responses in microservices handling untrusted user input.

Can I implement rate limiting and token budgeting to prevent overspending on AI APIs?

Token budgeting and rate limiting block excessive API consumption from malicious or accidental requests. This prevents economic denial-of-service attacks and controls costs across distributed microservices, ensuring predictable spending on AI providers.

How do I secure internal microservice communication and admin endpoints?

Signed job payloads authenticate internal requests, and robust authentication with rate limiting hardens admin endpoints. This prevents unauthorized access and replay attacks across your microservices architecture, protecting security-critical operations.

What environment variable management practices prevent secrets exposure in AI microservices?

Strict environment variable management ensures secrets stay out of code, logs, and configuration files. Combined with non-PII logging and dependency security checks, this establishes a defense-in-depth approach protecting your entire supply chain.