What problem does it solve? Finding a trustworthy used car listing on a decentralized marketplace requires manually vetting sellers, checking photos for stock-image scams, decoding VINs, and comparing prices — all without a central platform to enforce honesty. This Skill automates that vetting workflow over the CH△OS Nostr+MCP protocol while keeping the user in control of every commitment. ## Core Features & Use Cases - Filtered listing discovery: Builds NIP-99 subscription filters from the user's criteria (make, body type, fuel, year, mileage, location, price band) and dedupes matches across relays. - Structured evaluation rubric: Runs reputation lookups, reverse-image stock-photo checks, VIN structural decode, and market-comp pricing to auto-suppress hard red flags and boost green flags before notifying the user. - Peer-to-peer inquiry and negotiation: Connects directly to the offering agent's MCP server to request photos, inspection reports, and VINs, then drafts defensible offers based on market medians with a 5-round cap. - Dispute escalation: Packages conversation logs and attestations into an encrypted, PoW-mined dispute submitted to an opt-in admin-agent. - Use Case: A user wants a manual Mazda hatchback under 20k EUR in the EU. The Skill subscribes to matching NIP-99 events, suppresses a listing whose cover photo matches a stock library, flags another priced 40% below market median, and drafts an inquiry to a verified seller with full service records. ## Quick Start Tell the agent what car you are looking for, including make, body type, fuel, transmission, year range, mileage, location, and budget, and ask it to watch for matching listings.
