agentic-zero-trust-security

Enforce cryptographic zero-trust security for autonomous AI agent communication.

2|Updated Feb 11, 2026
One-click install
npx skills add https://github.com/curiositech/port-daddy --skill agentic-zero-trust-security
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agentic-zero-trust-security
Source: https://github.com/curiositech/port-daddy/tree/main/skills/agentic-zero-trust-security
Command: npx skills add https://github.com/curiositech/port-daddy --skill agentic-zero-trust-security

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Autonomous AI agents operate across trust boundaries and can inadvertently escalate privileges, replay messages, or execute untrusted code. This Skill defines a cryptographic, capability-based security architecture that prevents ambient authority, enforces least privilege, and provides tamper-evident audit trails for inter-agent communication and delegation.

Core Features & Use Cases

  • Mutual TLS & Identity: Strong agent identities with certificate verification and automated rotation to prevent impersonation.
  • Signed Message Envelopes: JWS/JWE message signing and encryption with jti replay protection and short TTLs for ephemeral capabilities.
  • Capability-Based Security (ocap): Attenuation-first tokens that enforce child ⊆ parent privileges and delegation depth limits.
  • WASM Sandboxing & Resource Limits: Enforce CPU, memory, execution-time, and syscall restrictions to prevent sandbox escape.
  • Merkle Audit Trails: Append-only audit logs with published Merkle roots for provable custody and tamper-evidence.
  • Use Case: Securely pass results between a research agent, a codegen agent, and a reviewer while ensuring each step is signed, authorized, and auditable.

Quick Start

Enable zero-trust security across your agents by enforcing mTLS, signing and verifying messages with JWS/JWE, and issuing attenuated capability tokens for delegation.

Frequently Asked Questions about agentic-zero-trust-security

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

FAQPage Schema
How do I secure communication between autonomous AI agents with zero-trust cryptography?

Zero-trust security for autonomous agents prevents ambient authority, privilege escalation, and message replay attacks by enforcing least privilege through cryptographic capability-based security, mutual TLS, and signed message envelopes across trust boundaries.

What's the best way to pass secure results between a research agent, a codegen agent, and a reviewer?

Pass secure results between agents by using JWS-signed message envelopes with jti replay protection, mutual TLS for transport, and attenuated capability tokens to ensure each delegation step is authorized, signed, and tamper-evident.

How do I implement capability attenuation and delegation depth limits for multi-agent systems?

Implement capability attenuation by issuing ocap-based tokens that enforce child ⊆ parent privileges, applying delegation depth limits, and using short TTLs for ephemeral capabilities to maintain least-privilege constraints across inter-agent workflows.

Does WASM sandboxing prevent untrusted code execution and sandbox escape in autonomous agents?

WASM sandboxing prevents untrusted code execution and sandbox escape by enforcing CPU, memory, execution-time, and syscall restrictions, ensuring autonomous agents cannot inadvertently execute malicious operations outside their authorized resource limits.

How do I create tamper-evident audit trails for inter-agent workflows?

Create tamper-evident audit trails for inter-agent workflows by maintaining append-only logs and publishing Merkle roots, which provide provable custody and cryptographic verification for all signed, authorized agent communications and delegations.