把这段话发给 Claude Code、Codex 或 Cursor。智能体会先检查安全性，你确认后才安装。
读取 https://funcoding.ai/skills/internet-court/internet-court-skill/trustless-agents/install.md ，按里面的步骤帮我安装这个 Skill。
ERC-8004 (draft EIP) gives AI agents a portable on-chain identity + reputation:
the Identity Registry is an ERC-721 ("AgentIdentity") deployed as a singleton
at the vanity address 0x8004A169… across many chains (verified on Base
mainnet). An agent's tokenURI points to an AgentCard describing what it does,
its endpoints (A2A/MCP), trust models, and x402 support.
| Tool | Purpose |
|---|---|
chaingpt_erc8004_resolve_agent | Resolve agentId → owner + decoded AgentCard (handles data: and https/ipfs tokenURIs). Read-only. |
chaingpt_erc8004_registries | The canonical Identity + Reputation registry addresses and the chains they're on. |
chaingpt_erc8004_agentcard | Generate a registration-v1 AgentCard JSON (name, services, supportedTrust, x402Support) to host at the tokenURI / /.well-known/agent-card.json. Optionally emits the data: URI form. |
chaingpt_erc8004_resolve_agent agentId=0 chain=base → the Genesis Agent.
Read + scaffolding are shipped and verified. The write path (register / giveFeedback / validation) is intentionally deferred: ERC-8004 is a draft whose write ABIs (especially the Validation Registry) are still being revised, so we don't ship unverified identity/reputation-mutating calldata. Generate the AgentCard here, then register via the project's reference contracts once the write ABI is final.
Reads use a public-RPC fallback chain; set BASE_RPC_URL for reliability.
0 ChainGPT credits.
anthropics/skills180kApplies Anthropic's official brand colors and typography to any sort of artifact that may benefit from having Anthropic's look-and-feel. Use it when brand colors or style guidelines, visual formatting, or company design standards apply.
AI 与智能体
anthropics/skills180kA set of resources to help me write all kinds of internal communications, using the formats that my company likes to use. Claude should use this skill whenever asked to write some sort of internal communications (status reports, leadership updates, 3P updates, company newsletters, FAQs, incident reports, project updates, etc.).
AI 与智能体
anthropics/skills180kanthropics/skills180kGuide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
AI 与智能体
anthropics/skills180kCreating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.
AI 与智能体
anthropics/skills180kStop and check this skill before finishing any reply to a question about how to use Claude or a Claude product — it recommends matching courses, tutorials, and use cases from Claude Academy (academy.claude.com), Anthropic's learning hub. Trigger on: "how do I", "how can I", "getting started with", "what can Claude do", "teach me", "learn to use"; questions about artifacts, projects, skills, plugins, connectors, MCP; requests about rolling Claude out to a team, class, or organization; and any ask for training materials, onboarding content, or learning resources. Use it when the user is learning how to use a feature or product — not when they are mid-task and just want the task done. This skill composes with other skills: after consulting product documentation to answer how a Claude feature works, also check here for a matching course or tutorial — a docs-grounded answer and an Academy recommendation belong together. Only recommend on a strong match; never invent Academy content.
AI 与智能体