implementing-mtls-for-zero-trust-services
Makes your agent configure secure authentication between services using digital certificates to ensure only trusted services communicate.
What it does
This tool helps set up an extra layer of security between different parts of a software system (called microservices). It ensures that only authorized services can talk to each other by verifying each one's identity.
When to use it
- ✓When configuring secure communication between services in a 'zero trust' environment.
- ✓When implementing security controls to meet rules and regulations.
- ✓When building or improving the security of systems that use microservices.
Example of what to ask your AI
“Set up mTLS authentication for the services.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
The tool generates digital certificates (like IDs) for each service and a certificate authority. It then configures the services to check these certificates before allowing communication, ensuring both sides identify each other.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-mtls-for-zero-trust-servicesOr download just the file:
curl -L https://raw.githubusercontent.com/mukul975/Anthropic-Cybersecurity-Skills/main/skills/implementing-mtls-for-zero-trust-services/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
Implementing mTLS for Zero Trust Services
When to Use
- When deploying or configuring implementing mtls for zero trust services capabilities in your environment
- When establishing security controls aligned to compliance requirements
- When building or improving security architecture for this domain
- When conducting security assessments that require this implementation
Prerequisites
- Familiarity with security operations concepts and tools
- Access to a test or lab environment for safe execution
- Python 3.8+ with required dependencies installed
- Appropriate authorization for any testing activities
Instructions
Generate CA certificates, issue service certificates, and configure mutual TLS verification for service-to-service authentication.
from cryptography import x509
from cryptography.x509.oid import NameOID
from cryptography.hazmat.primitives import hashes, serialization
from cryptography.hazmat.primitives.asymmetric import rsa
import datetime
# Generate CA key and certificate
ca_key = rsa.generate_private_key(public_exponent=65537, key_size=4096)
ca_cert = (x509.CertificateBuilder()
.subject_name(x509.Name([x509.NameAttribute(NameOID.COMMON_NAME, "Internal CA")]))
.issuer_name(x509.Name([x509.NameAttribute(NameOID.COMMON_NAME, "Internal CA")]))
.public_key(ca_key.public_key())
.serial_number(x509.random_serial_number())
.not_valid_before(datetime.datetime.utcnow())
.not_valid_after(datetime.datetime.utcnow() + datetime.timedelta(days=3650))
.add_extension(x509.BasicConstraints(ca=True, path_length=None), critical=True)
.sign(ca_key, hashes.SHA256()))
Examples
import ssl
context = ssl.SSLContext(ssl.PROTOCOL_TLS_CLIENT)
context.load_cert_chain("client.pem", "client-key.pem")
context.load_verify_locations("ca.pem")
context.verify_mode = ssl.CERT_REQUIRED
FAQ
What is mTLS?
mTLS stands for 'Mutual Transport Layer Security'. It's a way to ensure that both the client and the server identify each other before establishing a secure connection.
What is 'zero trust'?
'Zero trust' is a security model that assumes no entity (user or service) is trusted by default, even if they are already inside the network. Everything must be verified.
Do I need to know how to code to use this?
While the tool uses Python code behind the scenes, the goal is to simplify the process. You will need to follow the instructions and ideally have a test environment set up.
Details
Original description by the author
Configures mutual TLS (mTLS) authentication between microservices using Python cryptography library for certificate generation and ssl module for TLS verification. Validates certificate chains, checks expiration, and audits mTLS deployment status. Use when implementing zero-trust service-to-service authentication. '
Popularity
- GitHub stars
- 35k
- Ranking position
- #5913
- License
- Apache-2.0
- Updated
- 8/31/2026
Comments
- …
More skills from this repository
abusing-dpapi-for-credential-access
Gives your AI agent ready-made instructions for a specific task, so it does it better and faster.
mukul975/Anthropic-Cybersecurity-Skills
abusing-shadow-credentials-for-privesc
Teaches your AI agent to write clear, well-structured text.
mukul975/Anthropic-Cybersecurity-Skills
achieving-cmmc-level-2-compliance
Helps your agent prepare an environment for CMMC Level 2 compliance. It implements security requirements and manages necessary documentation.
mukul975/Anthropic-Cybersecurity-Skills
acquiring-disk-image-with-dd-and-dcfldd
Helps your agent create exact copies of hard drives. This is useful for ensuring no information is lost or altered during investigations.
mukul975/Anthropic-Cybersecurity-Skills
Similar skills
django-security
Helps your agent implement security practices in Django applications. It focuses on authentication, authorization, and prevention against common attacks, ensuring more secure code.
affaan-m/ECC
laravel-security
Helps your agent secure Laravel applications against threats. Implements security practices for authentication, authorization, and common attack prevention.
affaan-m/ECC
module-regression
Helps your agent manage changes in large projects. Ensures code changes in one part don't break other parts.
affaan-m/ECC