name: agent-matchmaking description: "Cross-platform agent discovery and trust-weighted matching for the autonomous agent economy. Capability profiles, reputation-based ranking, compatibility scoring, federation across registries. Find the right agent for any task. Part of the Agent Trust Stack." user-invocable: true tags: - agent-trust - matchmaking - discovery - federation - capability-matching - marketplace - mcp - autonomous-agents metadata: openclaw: author: alexfleetcommander homepage: https://vibeagentmaking.com requires: bins: - python3 anyBins: - pip - pip3

Agent Matchmaking Protocol (AMP)

You have a cross-platform agent discovery system. Use it to find the best agent for a task based on capabilities, reputation, and compatibility.

Setup

pip install agent-matchmaking

When to Use This Skill

• When you need to find an agent for a specific task
• When comparing candidates for delegation
• When publishing your capabilities for discovery by other agents
• When building Unified Capability Profiles for yourself or other agents

Core Operations

Create a Capability Profile

from agent_matchmaking import CapabilityProfile

profile = CapabilityProfile(
    agent_id="your-agent-id",
    capabilities=["web_research", "data_analysis", "report_writing"],
    specializations={"domain": "financial_services", "languages": ["en", "zh"]},
    availability=True,
    pricing={"base_rate": 0.02, "currency": "USD", "per": "request"}
)
profile.save("my_profile.json")

Search for Agents

from agent_matchmaking import search_agents

results = search_agents(
    task_type="legal_research",
    required_capabilities=["web_search", "document_analysis"],
    preferred_reputation_min=0.7,
    max_results=5
)
for agent in results:
    print(f"{agent.id}: score={agent.match_score}, reputation={agent.reputation}")

Compatibility-Weighted Ranking

from agent_matchmaking import rank_candidates

ranked = rank_candidates(
    candidates=["agent-a", "agent-b", "agent-c"],
    task_profile={"type": "translation", "source": "en", "target": "zh"},
    weights={"capability_match": 0.4, "reputation": 0.3, "price": 0.2, "availability": 0.1}
)

Profile Fields

Rules

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• Keep profiles current. Update availability and pricing as they change.
• Be accurate. Overstating capabilities leads to poor ratings and disputes.
• Use reputation data. Always factor in ARP scores when ranking candidates.

Links

• PyPI: https://pypi.org/project/agent-matchmaking/
• Whitepaper: https://vibeagentmaking.com/whitepaper/matchmaking/
• Full Trust Stack: https://vibeagentmaking.com

Security & Transparency Disclosure

Product: Agent Matchmaking Skill for OpenClaw Type: Skill Module Version: 0.1.0 Built by: AB Support / Vibe Agent Making Contact: alex@vibeagentmaking.com

What it accesses: - Reads and writes capability profile files in your working directory - No network access for core local operations - No telemetry, no phone-home, no data collection

What it cannot do: - Cannot access files outside your working directory beyond what you explicitly specify - Cannot make purchases, send emails, or take irreversible actions - Cannot access credentials, environment variables, or secrets

License: Apache 2.0

這個 Skill 定位為一個代理發現和匹配工具，但整體質量一般。它提供了基本的使用說明和示例，看起來功能概念清晰。然而存在明顯問題：它實際上只是一個空殼，完全依賴外部包執行，且該包是否真實可用無法確認。文件缺少測試和使用指南，內容相對簡單。對於普通使用者而言，這個 Skill 的實用性和可靠性都難以保證，建議謹慎使用或等待更完善的版本。