Zero Trust Architecture
CheckedThis skill establishes a secure network by verifying every user and device, minimizing risk and bolstering data protection in modern environments.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add aj-geddes/useful-ai-prompts --skill zero-trust-architecture -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
aj-geddes
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.
Automated safety checks
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 aj-geddes/useful-ai-prompts at 3f5182cfd7.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 3f5182cfd7
- Scanned
- 6 files, 764 lines
About this skill
What it does
This skill enables AI agents to implement a Zero Trust security architecture, adhering to the principle of “never trust, always verify.” It focuses on identity-centric security, microsegmentation, and continuous verification to minimize risk and bolster data protection in modern environments. The skill provides components like a Zero Trust Gateway for verifying identities and checking token revocation.
When to use it
- Securing cloud-native applications.
- Protecting microservices architectures.
- Enhancing security for remote workforces.
- Safeguarding APIs.
- Managing multi-cloud deployments.
Key capabilities
- Identity verification using JWT tokens.
- Token revocation checking.
- Implementation of microsegmentation via service mesh integration.
- Support for a Python Zero Trust Policy Engine (implementation details in reference guides).
Example prompts
- "Verify the identity associated with this JWT token."
- "Check if token [token ID] has been revoked."
- "Implement microsegmentation between services A and B."
Tips & gotchas
- Requires configuration of an
IDENTITY_PROVIDER_URLandJWT_PUBLIC_KEYenvironment variables. - Refer to the reference guides for detailed implementation instructions regarding token revocation handling and policy engine usage.
- Continuous monitoring and regular audits are essential best practices when using this skill.