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crewai - 💡(How to fix) Fix RC1 Review Request: AAR-MCP-2.0 Verifiable Interaction Layer (Conformance Gate included) [16 comments, 2 participants]

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crewAIInc/crewAI#4558•Fetched 2026-04-08 00:26:26
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joy7758joy7758
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joy7758joy7758mikeargentomikeargento
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Proposal: Integrate AAR-MCP-2.0 RC1 (Verifiable Agent Interaction Layer)

I’m publishing AAR-MCP-2.0 Core Spec (RC1): a verifiable interaction layer for MCP/agent tool calls. It provides tamper-evident journals + checkpoint signatures + conformance vectors, and exports an audit bundle reviewers can independently verify.

Why this matters

  • Observability logs are not evidence. We need non-repudiable action receipts for high-risk tools (write config, transfer funds, etc.).
  • This RC1 focuses on fail-closed enforcement and format-stable verification, not vendor lock-in.

RC1 entry (spec bundle + sha256 + conformance gate)

  • Repo: joy7758/aro-audit
  • RC1 Review入口已在 README 顶部（含 spec bundle + sha256）
  • Conformance Gate: boundary vectors (base OK / attestations-only OK / predicate-tamper FAIL)

Review workflow

Ask

  • I’d like feedback on:
    1. Record types + digest boundary definition
    2. Checkpoint semantics (range, merkle root, signature)
    3. Tool-level dependency policy (soft/strict/hard-gate)
    4. Conformance vectors coverage (what’s missing)

If your project exposes MCP tools, I can provide a minimal wrapper and a 30s demo bundle to validate integration.

extent analysis

Fix Plan

Integrate AAR-MCP-2.0 RC1 (Verifiable Agent Interaction Layer)

Step 1: Review and Understand the Spec

  • Review the AAR-MCP-2.0 Core Spec (RC1) in the joy7758/aro-audit repository.
  • Familiarize yourself with the concepts of tamper-evident journals, checkpoint signatures, conformance vectors, and audit bundles.

Step 2: Implement the Verifiable Interaction Layer

  • Clone the joy7758/aro-audit repository and add it as a dependency to your project.
  • Integrate the verifiable interaction layer into your MCP/agent tool calls.
  • Use the provided minimal wrapper and 30s demo bundle to validate integration.

Step 3: Configure Fail-Closed Enforcement and Format-Stable Verification

  • Configure the conformance gate to enforce fail-closed behavior and format-stable verification.
  • Define the record types and digest boundary definition according to the RC1 spec.
  • Implement checkpoint semantics, including range, merkle root, and signature.

Step 4: Tool-Level Dependency Policy

  • Define a tool-level dependency policy (soft/strict/hard-gate) according to the RC1 spec.
  • Implement conformance vectors coverage to ensure all required vectors are included.

Example Code Snippet (Python)

import hashlib
import json

# Define record types and digest boundary definition
record_types = ["action_receipt", "checkpoint"]
digest_boundary = "sha256"

# Implement checkpoint semantics
def create_checkpoint(data):
    merkle_root = hashlib.sha256(json.dumps(data).encode()).hexdigest()
    signature = sign_data(data)
    return {"merkle_root": merkle_root, "signature": signature}

# Define tool-level dependency policy
dependency_policy = "strict"

# Implement conformance vectors coverage
conformance_vectors = ["base_ok", "attestations_only_ok", "predicate

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