Skills agent-matchmaking

Name: agent-matchmaking
Author: openclaw

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.

install

source · Clone the upstream repo

git clone https://github.com/openclaw/skills

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/alexfleetcommander/agent-matchmaking" ~/.claude/skills/openclaw-skills-agent-matchmaking && rm -rf "$T"

OpenClaw · Install into ~/.openclaw/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.openclaw/skills && cp -r "$T/skills/alexfleetcommander/agent-matchmaking" ~/.openclaw/skills/openclaw-skills-agent-matchmaking && rm -rf "$T"

manifest: skills/alexfleetcommander/agent-matchmaking/SKILL.md

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

Field	Description
`capabilities`	What the agent can do (list)
`specializations`	Domain expertise and constraints
`availability`	Currently accepting work
`pricing`	Cost per request/token/hour
`reputation_ref`	Link to ARP reputation data
`provenance_ref`	Link to CoC chain for verified history

Rules

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.

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