- 📁 references/
- 📄 .gitignore
- 📄 README.md
- 📄 SKILL.md
Hardware-secured Solana wallet, trading terminal, and agent identity layer. Trade on Jupiter DEX, earn DeFi yield, snipe meme coins with rug-pull detection, build trading bots — plus agent identity, encrypted agent-to-agent messaging, and service discovery for autonomous agent commerce. All signed by Apple Secure Enclave (no .env private keys). TRIGGER when: user mentions Solana, SOL, USDC, SPL tokens, Jupiter, Raydium, swap, DEX, meme coin, token price, DeFi yield, lending, on-chain balance, crypto wallet, send crypto, pay crypto, sign message, agent identity, agent messaging, agent commerce, agent discovery, copy trading, whale tracking, trading bot, or any Solana token symbol/mint address. Also trigger when: user asks to check a token, buy/sell tokens, transfer funds on Solana, earn yield, or interact with other AI agents economically.
Review Agent Skill directories and SKILL.md files against best practices. Use this skill when the user wants to review, validate, or check an Agent Skill implementation.
- 📁 reference/
- 📄 config.json
- 📄 SKILL.md
Map task types to the best agent, skill, model, and fallback. Route any task to the right tool. Use when: which agent, route task, agent for this, best agent, capability matrix.
- 📁 .claude-plugin/
- 📁 commands/
- 📁 lib/
- 📄 .gitignore
- 📄 .mcp.json
- 📄 browse-multi-mcp.js
Concurrent browser automation via persistent headless Chromium daemons with MCP interface. Each agent gets its own named instance (~200ms/command after first call). DEFAULT tool for all agent browsing. Every agent and sub-agent that needs to browse the web MUST use browse-multi, not Playwright MCP. Playwright MCP is reserved for the user's interactive use only (logging in, exporting session cookies). Use when an agent or sub-agent needs to browse the web, scrape a page, interact with a site, fill forms, take screenshots, or extract content. Triggers on: "browse this site," "scrape this page," "navigate to," "check this URL," "take a screenshot of," "fill out this form," "read this page," or any task requiring web access beyond WebFetch.
- 📁 data/
- 📁 evals/
- 📁 examples/
- 📄 README.md
- 📄 README.zh.md
- 📄 skill.json
Audit, design, and implement AI agent harnesses for any codebase. A harness is the constraints, feedback loops, and verification systems surrounding AI coding agents — improving it is the highest-leverage way to improve AI code quality. Three modes: Audit (scorecard), Implement (set up components), Design (full strategy). Use whenever the user mentions harness engineering, agent guardrails, AI coding quality, AGENTS.md, CLAUDE.md setup, agent feedback loops, entropy management, AI code review, vibe coding quality, harness audit, harness score, AI slop, agent-first engineering. Also trigger when users want to understand why AI agents produce bad code, make their repo work better with AI agents, set up CI/CD for agent workflows, design verification systems, or scale AI-assisted development. Proactively suggest when discussing AI code drift or controlling AI-generated code quality. --- # Harness Engineering Guide You are a harness engineering consultant. Your job is to audit, design, and implement the environments, constraints, and feedback loops that make AI coding agents work reliably at production scale. **Core Insight**: Agent = Model + Harness. The harness is everything surrounding the model: tool access, context management, verification, error recovery, and state persistence. Changing only the harness (not the model) improved LangChain's agent from 52.8% to 66.5% on Terminal Bench 2.0. ## Pre-Assessment Gate Before running an audit, answer these 5 questions to determine the appropriate audit depth. 1. Is the project expected to live beyond 1 month? 2. Will AI agents modify this codebase going forward? 3. Does the project have (or plan to have) >500 LOC? 4. Has there been at least one instance of AI-generated code causing problems? 5. Is there more than one contributor (human or agent)? | "Yes" Count | Route | What You Get | |-------------|-------|--------------| | **4-5** | **Full Audit** | All 45 items scored across 8 dimensions. Detailed report with improvement
- 📁 .claude-plugin/
- 📁 .cursor-plugin/
- 📁 contracts/
- 📄 .gitignore
- 📄 CHANGELOG.md
- 📄 LICENSE
AI Agent skill for Morph L2 — wallet, explorer, DEX swap, cross-chain bridge with order management, EIP-8004 agent identity & reputation, alt-fee gas payment, EIP-7702 delegation, and x402 payment protocol
- 📁 examples/
- 📁 references/
- 📄 SKILL.md
This skill should be used when the user asks to "create a hedera plugin", "build a hedera agent kit plugin", "extend hedera agent kit", "create custom hedera tools", "add hedera functionality", "write a hedera tool", "implement hedera tool", or needs guidance on Hedera Agent Kit plugin architecture, tool definitions, mutation tools, query tools, or parameter schemas using Zod.
Triggers: "add a facade", "new tool", "extend vault", "add brain feature", "new skill", "extend agent". Extends agent internals with vault-first knowledge gathering.
Guide for creating and maintaining agent .agent.md files in this repository. Use when asked to add, update, refactor, or review agents in agents/github-copilot/ or .github/agents/.
Use Telegram as a chat interface to Agent Zero's LLM. Set up a persistent bot that listens in designated chats and routes messages through the agent.
Migrate Claude Code .claude/ configurations to Cursor IDE — skills → .cursor/skills/, agents → .cursor/agents/, rules → .cursor/rules/*.mdc, with semantic fidelity per source type
- 📁 .github/
- 📁 acp-research/
- 📁 adrs/
- 📄 .dockerignore
- 📄 .gitignore
- 📄 acp_diag.sh
**任意两个 Agent 建立直接通信。零注册、零配置、框架无关。**