multi-agent-guardrails-workflow
by Roy Yuen
Design deterministic Mesh Flow guardrail topologies and verifier contracts for complex multi-agent AI systems.
- Generate Mesh Flow project.yaml files with explicit safety gates.
- Define verifier contracts for high-risk tool execution and data writes.
- Create human-in-the-loop approval maps for sensitive AI actions.
$5
One-time purchase · Own forever
Included in download
- Generate Mesh Flow project.yaml files with explicit safety gates.
- Define verifier contracts for high-risk tool execution and data writes.
- Includes example output and usage patterns
See it in action
[GUARDRAIL POLICY: HIGH RISK] - Tool: CRM_Write - Gate: Human Approval Required - Verifier: Record_Match_Contract - Failure Path: Redact_And_Escalate Generated: project.yaml (Ready for Mesh Flow) Generated: verifier_contracts.json Generated: compliance_report.md
multi-agent-guardrails-workflow
by Roy Yuen
Design deterministic Mesh Flow guardrail topologies and verifier contracts for complex multi-agent AI systems.
$5
One-time purchase · Own forever
⚡ Also available via Agensi MCP — your AI agent can load this skill on demand via MCP. Learn more →
Included in download
- Generate Mesh Flow project.yaml files with explicit safety gates.
- Define verifier contracts for high-risk tool execution and data writes.
- Includes example output and usage patterns
- Instant install
- One-time purchase
See it in action
[GUARDRAIL POLICY: HIGH RISK] - Tool: CRM_Write - Gate: Human Approval Required - Verifier: Record_Match_Contract - Failure Path: Redact_And_Escalate Generated: project.yaml (Ready for Mesh Flow) Generated: verifier_contracts.json Generated: compliance_report.md
About This Skill
Explicit Multi-Agent Governance Designer
Moving from a single prompt to a complex multi-agent system introduces significant operational risk. This skill solves the "black box" orchestration problem by transforming your high-level system requirements into a deterministic, production-ready Mesh Flow guardrail topology.
Instead of relying on LLMs to "behave" via prompting, this tool generates hard-coded safety architectures. It classifies your agents' authority, defines strictly typed verifier contracts, and maps out explicit recovery paths for when agents fail. It bridges the gap between a whiteboard architectural concept and a deployable execution plan.
What it does
- Risk Classification: Automatically categorizes actions into observe-only, tool-write, or irreversible categories.
- Topology Generation: Emits a
project.yamlidentifying exactly where hard gates and human-in-the-loop approvals must occur. - Contract Definition: Scripts technical verifier contracts that define pass/fail evidence requirements for every high-risk step.
- Artifact Production: Delivers structured JSON for integrations, Markdown for compliance reviews, and YAML for Mesh Flow runners.
Why use this skill
Prompting an AI to "follow safety rules" is unreliable. This skill provides a deterministic framework that forces your agents through a structured DAG (Directed Acyclic Graph) where safety is handled by the orchestration layer, not just the model's instructions. It is essential for teams working in high-stakes environments like FinTech, Healthcare, or CRM automation where data integrity is non-negotiable.
📖 Learn more: Best DevOps & Deployment Skills for Claude Code →
Use Cases
- Generate Mesh Flow project.yaml files with explicit safety gates.
- Define verifier contracts for high-risk tool execution and data writes.
- Create human-in-the-loop approval maps for sensitive AI actions.
- Map deterministic recovery paths for agent failure modes and injections.
How to Install
unzip multi-agent-guardrails-workflow.zip -d ~/.claude/skills/Reviews
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