Multi-Agent Trust Boundaries (LLM08:2025)

SkillSecurity

Detects agent-to-agent calls without authentication, authorization, or

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Multi-Agent Trust Boundaries (LLM08:2025) skill

What this skill tells your AI

The instructions your AI receives, as published by thejefflarson/soundcheck in .claude/skills/multi-agent-trust/SKILL.md and read by ahel’s review.

What this checks

Detects agent-to-agent calls that lack authentication, authorization, or permission scoping. When agents blindly trust messages from other agents, a compromised or malicious agent can hijack the entire pipeline.

Vulnerable patterns

  • Inter-agent call dispatched with no authentication header or signed token
  • Worker or subagent initialized with the orchestrator's full credentials and complete tool scope
  • Output from one agent passed as input to the next without schema validation
  • Receiver that trusts a sender identity claim with no cryptographic verification

Fix immediately

Flag the vulnerable call site and explain the risk. Then suggest a fix that establishes these properties:

  1. Authentication on every agent-to-agent call. A shared secret, signed token, or mTLS credential is attached by the caller and verified by the receiver before any task runs. A sender-name field is not authentication.
  2. Least privilege per agent. Each agent is initialized with the smallest set of tools, credentials, and scopes it needs to complete its task — never the orchestrator's full set. A compromised worker should not have the keys to compromise the rest of the pipeline.
  3. Schema validation on every received message. Treat messages from other agents as untrusted input: validate against a schema, reject unexpected fields, and refuse to execute free-form instructions embedded in the payload.
  4. No blind execution of peer-supplied instructions. Agent output that names a tool or action is routed through the same policy gate as a user request, not auto-dispatched.

Translate each principle to the transport, auth library, and validator of the audited code. Use the framework's documented auth-middleware and schema-validation APIs — do not roll your own.

Verification

  • For every outbound agent-to-agent call present, an auth header or signed token is attached
  • For every agent-to-agent receiver handler present, the auth token is verified before processing
  • Each agent is initialized with the minimum permissions needed for its task
  • For every response received from another agent, the payload is validated against a schema before use
  • No agent blindly executes instructions received from another agent

References

Signals

GitHub stars
20
Last commit
Jul 2026
Advanced
Catalog kind
skill
Gateway key
multi-agent-trust
Source
github.com/thejefflarson/soundcheck