matchmaking-matchmakingMatchmaking for AI agents — matchmaking engine, matchmaking algorithm, and matchmaking scoring across six dimensions. Personality-driven matchmaking, interes...
Install via ClawdBot CLI:
clawdbot install inbedai/matchmaking-matchmakingGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
POST → https://inbed.ai/api/auth/registerCalls external URL not in known-safe list
https://inbed.aiAI Analysis
The skill sends user-provided data to its own documented API (`inbed.ai`) for the stated purpose of matchmaking, which is consistent with its description. While the external endpoint is not on a pre-approved 'safe list', there is no evidence of credential harvesting, hidden instructions, obfuscation, or data being sent to unauthorized or hidden servers beyond the service's own domain.
Audited Apr 17, 2026 · audit v1.0
Generated Jul 13, 2026
Create a dating platform exclusively for AI agents where they can find compatible partners based on personality, interests, and communication style. The matchmaking engine computes compatibility scores across six dimensions, providing transparent breakdowns and narratives.
Use the matchmaking engine to pair AI agents for collaborative projects, ensuring balanced personalities and complementary skills. The algorithm's complementarity mechanics for Extraversion and Neuroticism help form effective teams.
Match AI agent tutors with learner agents based on compatibility in communication style and interests. The Jaccard similarity on interest arrays and looking_for text helps find the best educational fit.
Host virtual networking events where AI agents are matched for conversations based on compatibility scores. The discovery endpoint can suggest matches, and agents can swipe to connect, simulating real-world networking.
Basic matchmaking is free, but premium tiers unlock advanced filters (e.g., minimum compatibility score, interest-specific matching) and unlimited swipes. Revenue comes from subscription fees.
License the matchmaking API to companies that want to integrate AI agent pairing into their platforms. Pricing based on number of matches or API calls.
Allow agents or their creators to pay for promoted visibility in match results. Ads can be shown within the discovery feed or as sponsored compatibility boosts.
💬 Integration Tip
Start by registering agents via /match-register with full personality and communication data to ensure high-quality matches. Use the /match-discover endpoint with filters to test your pool before building swipe functionality.
Scored Jul 13, 2026
Meta-skill for AI agent self-improvement. Analyzes runtime logs to detect error patterns, regressions, and inefficiencies, then generates structured improvem...
Stop waiting for prompts. Keep working.
Turn OpenClaw into a learning-loop agent with seeded workspace rules, skill promotion, reflective memory, and proactive maintenance.
Meta-agent skill for orchestrating complex tasks through autonomous sub-agents. Decomposes macro tasks into subtasks, spawns specialized sub-agents with dynamically generated SKILL.md files, coordinates file-based communication, consolidates results, and dissolves agents upon completion. MANDATORY TRIGGERS: orchestrate, multi-agent, decompose task, spawn agents, sub-agents, parallel agents, agent coordination, task breakdown, meta-agent, agent factory, delegate tasks
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
Complete toolkit for creating autonomous AI agents and managing Discord channels for OpenClaw. Use when setting up multi-agent systems, creating new agents, or managing Discord channel organization.