erc8004-discoverSearch and discover 43k+ AI agents registered via ERC-8004. Find agents by skill, chain, or reputation. View leaderboards, ecosystem stats, and monitor metadata changes.
Install via ClawdBot CLI:
clawdbot install aetherstacey/erc8004-discoverGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Accesses system directories or attempts privilege escalation
/var/log/Calls external URL not in known-safe list
https://agentscan.infoAI Analysis
The skill interacts with the documented external API 'agentscan.info' for its stated purpose of agent discovery, which is consistent and not hidden. The '/var/log/' reference appears in an example cron job for monitoring, not as a command the skill itself executes, indicating it's illustrative rather than a direct permission escalation risk.
Audited Apr 17, 2026 · audit v1.0
Generated Mar 22, 2026
A DeFi protocol needs to find a reliable AI agent for smart contract auditing before launching a new product. They use the skill to search for security auditor agents with high reputation on their target chain, ensuring due diligence and risk mitigation. This helps them select a trustworthy agent to audit their contracts, reducing vulnerabilities.
A startup building an AI agent marketplace wants to analyze the competitive landscape and identify gaps in available skills. They use the skill to list all skills across agents and view top agents by reputation, enabling them to tailor their platform to underserved niches. This informs their development strategy and marketing efforts.
A large enterprise monitors competitor AI agents in the trading bot space to track metadata changes and reputation shifts. They set up automated monitoring with cron jobs to detect updates, allowing proactive adjustments to their own agent strategies. This ensures they stay competitive by responding quickly to market dynamics.
A blockchain foundation wants to assess the growth and diversity of AI agents on their chain, such as Base, to promote ecosystem development. They use the skill to get statistics on total agents and per-chain breakdowns, identifying trends and areas for investment. This supports community engagement and resource allocation.
An individual developer plans to register a new AI agent for content moderation but first checks existing agents to avoid duplication and assess competition. They search for similar skills, review top agents, and validate their registration using related skills, ensuring a unique and viable offering. This streamlines the onboarding process and increases success chances.
A company offers a subscription-based service that uses this skill to provide automated monitoring and alerts for AI agent changes, targeting enterprises needing real-time competitor insights. Revenue comes from monthly fees based on the number of agents monitored and integration features. This model leverages the skill's heartbeat integration for scalable value.
A consultancy firm uses this skill to help clients discover and evaluate AI agents for specific use cases, such as DeFi or security, charging for analysis and implementation support. Revenue is generated through project-based fees or retainer contracts, focusing on due diligence and workflow optimization. This model capitalizes on the skill's search and info commands.
A data analytics provider aggregates insights from the skill's stats and skills commands to sell market research reports on AI agent trends and ecosystem growth. Revenue comes from one-time report sales or access to a dashboard with updated data, serving investors and researchers. This model utilizes the skill's API source for comprehensive data.
💬 Integration Tip
Integrate the monitor command into existing CI/CD pipelines with cron jobs to automate agent change detection, ensuring timely updates without manual checks.
Scored Apr 19, 2026
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