Install
openclaw skills install agent-matchmakingCross-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.
openclaw skills install agent-matchmakingYou have a cross-platform agent discovery system. Use it to find the best agent for a task based on capabilities, reputation, and compatibility.
pip install agent-matchmaking
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")
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}")
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}
)
| 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 |
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:
What it cannot do:
License: Apache 2.0