Multi Agent Guardrails Workflow

    2

    Design deterministic Mesh Flow guardrail topologies and verifier contracts for complex multi-agent AI systems.

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    Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIGitHub CopilotGitHub CopilotGemini CLIGemini CLI+20 more

    multi-agent-guardrails-workflow

    Example session with this skill installed

    Design a high-risk workflow for a CRM update agent. Include human approval gates, record match verifiers, and export the project.yaml and compliance report.

    • Read your context and instructions
    • Compiled the multi-agent-guardrails-workflow

    [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

    project.yaml

    Connects securely to your tools. The creator never sees your data.

    What you get

    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.

    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.yaml identifying 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.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
    1. 1

      Download the ZIP

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    2. 2

      Unzip into your skills folder

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    3. 3

      Ask your agent to use it

      Restart the agent if it was already running. It picks the skill up automatically - no config needed.

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    Verified clean 4 months ago

    • Passed all security checks, Safe to install

    Listed4 months ago

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