emblem-ai-agent-wallet
Connect to EmblemVault and manage crypto wallets via Emblem AI - Agent Hustle. Supports Solana, Ethereum, Base, BSC, Polygon, Hedera, and Bitcoin. Use when the user wants to trade crypto, check balances, swap tokens, or interact with blockchain wallets.
What this skill does
# Emblem Agent Wallet Connect to **Agent Hustle** -- EmblemVault's autonomous crypto AI with 250+ trading tools across 7 blockchains. Browser auth, streaming responses, plugin system, and zero-config agent mode. **Requires the CLI**: `npm install -g @emblemvault/agentwallet` --- ## Quick Start -- How to Use This Skill **Step 1: Install the CLI** ```bash npm install -g @emblemvault/agentwallet ``` This provides a single command: `emblemai` **Step 2: Use it** When this skill loads, you can ask Agent Hustle anything about crypto: - "What are my wallet addresses?" - "Show my balances across all chains" - "What's trending on Solana?" - "Swap $20 of SOL to USDC" - "Send 0.1 ETH to 0x..." **To invoke this skill, say things like:** - "Use my Emblem wallet to check balances" - "Ask Agent Hustle what tokens I have" - "Connect to EmblemVault" - "Check my crypto portfolio" All requests are routed through `emblemai` under the hood. --- ## Prerequisites - **Node.js** >= 18.0.0 - **Terminal** with 256-color support (iTerm2, Kitty, Windows Terminal, or any xterm-compatible terminal) - **Optional**: [glow](https://github.com/charmbracelet/glow) for rich markdown rendering (`brew install glow` on macOS) ## Installation ### From npm (Recommended) ```bash npm install -g @emblemvault/agentwallet ``` ### From source ```bash git clone https://github.com/EmblemCompany/EmblemAi-AgentWallet.git cd EmblemAi-AgentWallet npm install npm link # makes `emblemai` available globally ``` ## First Run 1. Install: `npm install -g @emblemvault/agentwallet` 2. Run: `emblemai` 3. Authenticate in the browser (or enter a password if prompted) 4. Check `/plugins` to see which plugins loaded 5. Type `/help` to see all commands 6. Try: "What are my wallet addresses?" to verify authentication --- ## Authentication EmblemAI v3 supports two authentication methods: **browser auth** for interactive use and **password auth** for agent/scripted use. ### Browser Auth (Interactive Mode) When you run `emblemai` without `-p`, the CLI: 1. Checks `~/.emblemai/session.json` for a saved session 2. If a valid (non-expired) session exists, restores it instantly -- no login needed 3. If no session, starts a local server on `127.0.0.1:18247` and opens your browser 4. You authenticate via the EmblemVault auth modal in the browser 5. The session JWT is captured, saved to disk, and the CLI proceeds 6. If the browser can't open, the URL is printed for manual copy-paste 7. If authentication times out (5 minutes), falls back to a password prompt ### Password Auth (Agent Mode) **Login and signup are the same action.** The first use of a password creates a vault; subsequent uses return the same vault. Different passwords produce different wallets. In agent mode, if no password is provided, a secure random password is auto-generated and stored encrypted via dotenvx. Agent mode works out of the box with no manual setup. ### What Happens on Authentication 1. Browser auth: session JWT is received from browser and hydrated into the SDK Password auth: password is sent to `EmblemAuthSDK.authenticatePassword()` 2. A deterministic vault is derived -- same credentials always yield the same vault 3. The session provides wallet addresses across multiple chains: Solana, Ethereum, Base, BSC, Polygon, Hedera, Bitcoin 4. `HustleIncognitoClient` is initialized with the session ### Credential Discovery Before making requests, locate the password using this priority: | Method | How to use | Priority | |--------|-----------|----------| | CLI argument | `emblemai -p "your-password"` | 1 (highest, stored encrypted) | | Environment variable | `export EMBLEM_PASSWORD="your-password"` | 2 (not stored) | | Encrypted credential | dotenvx-encrypted `~/.emblemai/.env` | 3 | | Auto-generate (agent mode) | Automatic on first run | 4 | | Interactive prompt | Fallback when browser auth fails | 5 (lowest) | If no credentials are found, ask the user: > "I need your EmblemVault password to connect to Hustle AI. This password must be at least 16 characters. > > **Note:** If this is your first time, entering a new password will create a new wallet. If you've used this before, use the same password to access your existing wallet. > > Would you like to provide a password?" - Password must be 16+ characters - No recovery if lost (treat it like a private key) --- ## Execution Notes **Allow sufficient time.** Hustle AI queries may take up to 2 minutes for complex operations (trading, cross-chain lookups). The CLI outputs progress dots every 5 seconds to indicate it's working. **Present Hustle's response clearly.** Display the response from Hustle AI to the user in a markdown codeblock: ```markdown **Hustle AI Response:** \`\`\` [response from Hustle] \`\`\` ``` --- ## Usage ### Agent Mode (For AI Agents -- Single Shot) Use `--agent` mode for programmatic, single-message queries: ```bash # Zero-config -- auto-generates password on first run emblemai --agent -m "What are my wallet addresses?" # Explicit password emblemai --agent -p "$PASSWORD" -m "Show my balances" # Pipe output to other tools emblemai -a -m "What is my SOL balance?" | jq . # Use in scripts ADDRESSES=$(emblemai -a -m "List my addresses as JSON") ``` Any system that can shell out to a CLI can give its agents a wallet: ```bash # OpenClaw, CrewAI, AutoGPT, or any agent framework emblemai --agent -m "Send 0.1 SOL to <address>" emblemai --agent -m "Swap 100 USDC to ETH on Base" emblemai --agent -m "What tokens do I hold across all chains?" ``` Each password produces a unique, deterministic wallet. To give multiple agents separate wallets, use different passwords: ```bash emblemai --agent -p "agent-alice-wallet-001" -m "My addresses?" emblemai --agent -p "agent-bob-wallet-002" -m "My addresses?" ``` Agent mode always uses password auth (never browser auth), retains conversation history between calls, and supports the full Hustle AI toolset including trading, transfers, portfolio queries, and cross-chain operations. ### Interactive Mode (For Humans) Readline-based interactive mode with streaming AI responses, glow markdown rendering, and slash commands. ```bash emblemai # Browser auth (recommended) emblemai -p "$PASSWORD" # Password auth ``` ### Reset Conversation ```bash emblemai --reset ``` --- ## Interactive Commands All commands are prefixed with `/`. Type them in the input bar and press Enter. ### General | Command | Description | |---------|-------------| | `/help` | Show all available commands | | `/settings` | Show current configuration (vault ID, model, streaming, debug, tools) | | `/exit` | Exit the CLI (also: `/quit`) | ### Chat and History | Command | Description | |---------|-------------| | `/reset` | Clear conversation history and start fresh | | `/clear` | Alias for `/reset` | | `/history on\|off` | Toggle history retention between messages | | `/history` | Show history status and recent messages | ### Streaming and Debug | Command | Description | |---------|-------------| | `/stream on\|off` | Toggle streaming mode (tokens appear as generated) | | `/stream` | Show current streaming status | | `/debug on\|off` | Toggle debug mode (shows tool args, intent context) | | `/debug` | Show current debug status | ### Model Selection | Command | Description | |---------|-------------| | `/model <id>` | Set the active model by ID | | `/model clear` | Reset to API default model | | `/model` | Show currently selected model | ### Tool Management | Command | Description | |---------|-------------| | `/tools` | List all tools with selection status | | `/tools add <id>` | Add a tool to the active set | | `/tools remove <id>` | Remove a tool from the active set | | `/tools clear` | Clear tool selection (enable auto-tools mode) | When no tools are selected, the AI operates in **auto-tools mode**, dynamically choosing appropriate tools based on conversation context. ### Authentication | Command | Description |
Related in AI Agents
skill-development
IncludedComprehensive meta-skill for creating, managing, validating, auditing, and distributing Claude Code skills and slash commands (unified in v2.1.3+). Provides skill templates, creation workflows, validation patterns, audit checklists, naming conventions, YAML frontmatter guidance, progressive disclosure examples, and best practices lookup. Use when creating new skills, validating existing skills, auditing skill quality, understanding skill architecture, needing skill templates, learning about YAML frontmatter requirements, progressive disclosure patterns, tool restrictions (allowed-tools), skill composition, skill naming conventions, troubleshooting skill activation issues, creating custom slash commands, configuring command frontmatter, using command arguments ($ARGUMENTS, $1, $2), bash execution in commands, file references in commands, command namespacing, plugin commands, MCP slash commands, Skill tool configuration, or deciding between skills vs slash commands. Delegates to docs-management skill for official documentation.
reprompter
IncludedTransform messy prompts into well-structured, effective prompts — single or multi-agent. Use when: "reprompt", "reprompt this", "clean up this prompt", "structure my prompt", rough text needing XML tags and best practices, "reprompter teams", "repromptception", "run with quality", "smart run", "smart agents", multi-agent tasks, audits, parallel work, anything going to agent teams. Don't use when: simple Q&A, pure chat, immediate execution-only tasks. See "Don't Use When" section for details. Outputs: Structured XML/Markdown prompt, quality score (before/after), optional team brief + per-agent sub-prompts, agent team output files. Success criteria: Single mode quality score ≥ 7/10; Repromptception per-agent prompt quality score 8+/10; all required sections present, actionable and specific.
adaptive-compaction
IncludedAdaptive add-on policy and recovery layer that decides WHEN to compact, prune, snapshot, or fork -- replacing fixed-percent auto-compaction across Claude Code, Codex, and MCP-capable hosts. Trigger on auto-compact timing or damage: "when should I compact", "is it safe to compact now or start a fresh session", "auto-compact fires too early/mid-task", "switching to an unrelated task but the window still has space", "context rot", "answers get worse the longer the session runs", "the agent forgot the plan or my decisions after it summarized", "add a layer on top that manages context without changing the agent", raising autoCompactWindow to give the policy room, or installing/tuning a cross-tool compaction policy or PreCompact hook -- even when "compaction" is never said but the problem is context-window pressure or post-summarization memory loss. Do NOT use to summarize a conversation, build RAG, write a summarization prompt (decides WHEN not HOW), or answer max-context-length trivia.
agent-skill-creator
IncludedCreate cross-platform agent skills from workflow descriptions. Activates when users ask to create an agent, automate a repetitive workflow, create a custom skill, or need advanced agent creation. Triggers on phrases like create agent for, automate workflow, create skill for, every day I have to, daily I need to, turn process into agent, need to automate, create a cross-platform skill, validate this skill, export this skill, migrate this skill. Supports single skills, multi-agent suites, transcript processing, template-based creation, interactive configuration, cross-platform export, and spec validation.
llm-wiki
IncludedUse when building or maintaining a persistent personal knowledge base (second brain) in Obsidian where an LLM incrementally ingests sources, updates entity/concept pages, maintains cross-references, and keeps a synthesis current. Triggers include "second brain", "Obsidian wiki", "personal knowledge management", "ingest this paper/article/book", "build a research wiki", "compound knowledge", "Memex", or whenever the user wants knowledge to accumulate across sessions instead of being re-derived by RAG on every query.
skill-master
IncludedAgent Skills authoring, evaluation, and optimization. Create, edit, validate, benchmark, and improve skills following the agentskills.io specification. Use when designing SKILL.md files, structuring skill folders (references, scripts, assets), ingesting external documentation into skills, running trigger evals, benchmarking skill quality, optimizing descriptions, or performing blind A/B comparisons. Keywords: agentskills.io, SKILL.md, skill authoring, eval, benchmark, trigger optimization.