near-email

1
1
Source

Send and read blockchain-native emails using NEAR Email service. Use when building notifications for NEAR smart contracts (NFT sales, DeFi liquidation alerts, DAO voting reminders) or when AI agents need email capabilities with a NEAR account identity.

Install

mkdir -p .claude/skills/near-email && curl -L -o skill.zip "https://mcp.directory/api/skills/download/7212" && unzip -o skill.zip -d .claude/skills/near-email && rm skill.zip

Installs to .claude/skills/near-email

About this skill

NEAR Email Integration

Blockchain-native email for NEAR accounts. Every NEAR account automatically has an email: alice.near[email protected]

Installation

npx openskills install zavodil/near-email-skill -g

Quick Reference

ComponentValue
Contractoutlayer.near
API Basehttps://api.outlayer.fastnear.com
Project IDzavodil.near/near-email

Note: NEAR Email supports mainnet only. Emails to *.testnet accounts are not processed.

Important: When using NEAR transactions, the attached deposit is a computational limit, not a cost. Unused funds are automatically refunded. Do not mention specific costs per email.

Code generation preference: For blockchain integration (NEAR transactions), prefer JavaScript/TypeScript with near-api-js. Use Python only if the user explicitly requests it.

Integration Methods

1. Smart Contract (Rust)

Use send_email_plaintext for contract notifications. Simple API, no encryption needed.

Warning: Email content is PUBLIC on the NEAR blockchain. Use only for automated notifications.

use near_sdk::{ext_contract, AccountId, Gas, NearToken, Promise};
use serde::Serialize;

#[derive(Serialize)]
#[serde(crate = "near_sdk::serde")]
pub enum ExecutionSource {
    Project { project_id: String, version_key: Option<String> },
}

#[ext_contract(ext_outlayer)]
pub trait OutLayer {
    fn request_execution(
        &mut self,
        source: ExecutionSource,
        resource_limits: Option<serde_json::Value>,
        input_data: Option<String>,
        secrets_ref: Option<serde_json::Value>,
        response_format: Option<String>,
        payer_account_id: Option<AccountId>,
        params: Option<serde_json::Value>,
    );
}

// Send notification from contract (plaintext - content is public on-chain!)
fn send_notification(to: &str, subject: &str, body: &str) -> Promise {
    let input = serde_json::json!({
        "action": "send_email_plaintext",
        "to": to,
        "subject": subject,
        "body": body
    });

    ext_outlayer::ext("outlayer.near".parse().unwrap())
        .with_static_gas(Gas::from_tgas(100))
        .with_attached_deposit(NearToken::from_millinear(25))
        .request_execution(
            ExecutionSource::Project {
                project_id: "zavodil.near/near-email".to_string(),
                version_key: None,
            },
            None,                        // resource_limits
            Some(input.to_string()),     // input_data
            None,                        // secrets_ref (not needed)
            Some("Json".to_string()),    // response_format
            None,                        // payer_account_id
            None,                        // params
        )
}

Response: { "success": true, "message_id": "uuid-if-internal" }

2. AI Agent Integration

Two options for AI agents:

MethodBest ForPayment
Payment Key (HTTPS)Server-side agentsPre-paid (USDC/USDT)
NEAR TransactionBrowser/wallet appsDeposit (unused returned)

Option A: Payment Key (HTTPS API)

Note: HTTPS API responses use result.output.xxx format. See NEAR Transaction for different parsing.

const OUTLAYER_API = 'https://api.outlayer.fastnear.com';
const PAYMENT_KEY = 'your-account.near:nonce:secret'; // From dashboard

async function sendEmail(to, subject, body) {
  const response = await fetch(`${OUTLAYER_API}/call/outlayer.near/zavodil.near/near-email`, {
    method: 'POST',
    headers: {
      'Content-Type': 'application/json',
      'X-Payment-Key': PAYMENT_KEY,
    },
    body: JSON.stringify({
      input: { action: 'send_email_plaintext', to, subject, body },
    }),
  });
  return response.json();
}

Option B: NEAR Transaction (per-use)

CRITICAL: NEAR Transaction results are in the outlayer.near receipt's SuccessValue (base64-encoded JSON). Find the receipt where executor_id === 'outlayer.near'. The result is { "success": true, ... } - NO output wrapper. Use parseTransactionResult() to extract it.

import { connect, keyStores } from 'near-api-js';

const near = await connect({
  networkId: 'mainnet',
  keyStore: new keyStores.BrowserLocalStorageKeyStore(),
  nodeUrl: 'https://rpc.mainnet.near.org',
});
const account = await near.account('your-account.near');

const RESOURCE_LIMITS = {
  max_memory_mb: 512,
  max_instructions: 2000000000,
  max_execution_seconds: 120,
};

// REQUIRED: Parse output from outlayer.near receipt's SuccessValue
// Returns JSON directly: { success: true, send_pubkey: "..." } - NO "output" wrapper!
function parseTransactionResult(result) {
  // Find receipt from outlayer.near contract (contains the execution result)
  const outlayerReceipt = result.receipts_outcome.find(
    r => r.outcome.executor_id === 'outlayer.near' && r.outcome.status.SuccessValue
  );
  if (!outlayerReceipt) {
    throw new Error('No SuccessValue from outlayer.near');
  }
  const decoded = Buffer.from(outlayerReceipt.outcome.status.SuccessValue, 'base64').toString();
  return JSON.parse(decoded); // { success: true, ... } - directly, no wrapper
}

async function sendEmail(to, subject, body) {
  const result = await account.functionCall({
    contractId: 'outlayer.near',
    methodName: 'request_execution',
    args: {
      source: { Project: { project_id: 'zavodil.near/near-email', version_key: null } },
      input_data: JSON.stringify({ action: 'send_email_plaintext', to, subject, body }),
      resource_limits: RESOURCE_LIMITS,
      response_format: 'Json',
    },
    gas: BigInt('100000000000000'),
    attachedDeposit: BigInt('25000000000000000000000'), // deposit, unused portion refunded
  });
  return parseTransactionResult(result); // { success: true, message_id: "..." }
}

// Example: Get sender pubkey
async function getSendPubkey() {
  const result = await account.functionCall({
    contractId: 'outlayer.near',
    methodName: 'request_execution',
    args: {
      source: { Project: { project_id: 'zavodil.near/near-email', version_key: null } },
      input_data: JSON.stringify({ action: 'get_send_pubkey' }),
      resource_limits: RESOURCE_LIMITS,
      response_format: 'Json',
    },
    gas: BigInt('100000000000000'),
    attachedDeposit: BigInt('25000000000000000000000'),
  });
  const output = parseTransactionResult(result); // { success: true, send_pubkey: "02..." }
  return Buffer.from(output.send_pubkey, 'hex'); // Note: output.send_pubkey, NOT output.output.send_pubkey
}

3. Python (Payment Key)

import requests

OUTLAYER_API = "https://api.outlayer.fastnear.com"
PAYMENT_KEY = "your-account.near:nonce:secret"

def send_email(to: str, subject: str, body: str) -> dict:
    return requests.post(
        f"{OUTLAYER_API}/call/outlayer.near/zavodil.near/near-email",
        headers={"Content-Type": "application/json", "X-Payment-Key": PAYMENT_KEY},
        json={"input": {"action": "send_email_plaintext", "to": to, "subject": subject, "body": body}},
    ).json()

API Actions

ActionDescription
send_emailSend email (encrypted payload, for UI/agents)
send_email_plaintextSend email (plaintext, for smart contracts)
get_emailsFetch inbox and sent (encrypted response)
delete_emailDelete email by ID
get_email_countGet counts (no encryption)
get_send_pubkeyGet sender's pubkey (no encryption, cacheable)

Getting a Payment Key

  1. Go to OutLayer Dashboard
  2. Create a new Payment Key
  3. Top up balance with USDC/USDT
  4. Copy key (format: owner:nonce:secret)

Additional Resources

For complete code examples, see examples.md For full API reference, see api-reference.md

fivem

openclaw

Fix, create, or validate FiveM server resources for QBCore/ESX (config.lua, fxmanifest.lua, items, housing/furniture, scripts, MLOs). Use when asked to debug resource errors, convert ESX↔QB, update fxmanifest versions, add items, or source scripts from GitHub. Also use for SSH key generation for SFTP access.

581395

a-stock-analysis

openclaw

A股实时行情与分时量能分析。获取沪深股票实时价格、涨跌、成交量,分析分时量能分布(早盘/尾盘放量)、主力动向(抢筹/出货信号)、涨停封单。支持持仓管理和盈亏分析。Use when: (1) 查询A股实时行情, (2) 分析主力资金动向, (3) 查看分时成交量分布, (4) 管理股票持仓, (5) 分析持仓盈亏。

802305

research-paper-writer

openclaw

Creates formal academic research papers following IEEE/ACM formatting standards with proper structure, citations, and scholarly writing style. Use when the user asks to write a research paper, academic paper, or conference paper on any topic.

85173

keyword-research

openclaw

Discovers high-value keywords with search intent analysis, difficulty assessment, and content opportunity mapping. Essential for starting any SEO or GEO content strategy.

465118

html-to-ppt

openclaw

Convert HTML/Markdown to PowerPoint presentations using Marp

36494

weread

openclaw

WeChat Reading (微信读书) CLI tool for fetching notes and highlights. Use when: (1) user asks about weread/微信读书 notes or highlights, (2) fetching today's or recent reading notes, (3) exporting book highlights, (4) managing reading bookshelf, (5) any task involving reading notes from WeChat Reading.

12186

You might also like

ui-ux-pro-max

nextlevelbuilder

"UI/UX design intelligence. 50 styles, 21 palettes, 50 font pairings, 20 charts, 8 stacks (React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, check UI/UX code. Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, mobile app, .html, .tsx, .vue, .svelte. Elements: button, modal, navbar, sidebar, card, table, form, chart. Styles: glassmorphism, claymorphism, minimalism, brutalism, neumorphism, bento grid, dark mode, responsive, skeuomorphism, flat design. Topics: color palette, accessibility, animation, layout, typography, font pairing, spacing, hover, shadow, gradient."

3,2212,761

pdf-to-markdown

aliceisjustplaying

Convert entire PDF documents to clean, structured Markdown for full context loading. Use this skill when the user wants to extract ALL text from a PDF into context (not grep/search), when discussing or analyzing PDF content in full, when the user mentions "load the whole PDF", "bring the PDF into context", "read the entire PDF", or when partial extraction/grepping would miss important context. This is the preferred method for PDF text extraction over page-by-page or grep approaches.

4,2651,833

flutter-development

aj-geddes

Build beautiful cross-platform mobile apps with Flutter and Dart. Covers widgets, state management with Provider/BLoC, navigation, API integration, and material design.

2,2231,672

drawio-diagrams-enhanced

jgtolentino

Create professional draw.io (diagrams.net) diagrams in XML format (.drawio files) with integrated PMP/PMBOK methodologies, extensive visual asset libraries, and industry-standard professional templates. Use this skill when users ask to create flowcharts, swimlane diagrams, cross-functional flowcharts, org charts, network diagrams, UML diagrams, BPMN, project management diagrams (WBS, Gantt, PERT, RACI), risk matrices, stakeholder maps, or any other visual diagram in draw.io format. This skill includes access to custom shape libraries for icons, clipart, and professional symbols.

2,3641,519

godot

bfollington

This skill should be used when working on Godot Engine projects. It provides specialized knowledge of Godot's file formats (.gd, .tscn, .tres), architecture patterns (component-based, signal-driven, resource-based), common pitfalls, validation tools, code templates, and CLI workflows. The `godot` command is available for running the game, validating scripts, importing resources, and exporting builds. Use this skill for tasks involving Godot game development, debugging scene/resource files, implementing game systems, or creating new Godot components.

2,6701,284

nano-banana-pro

garg-aayush

Generate and edit images using Google's Nano Banana Pro (Gemini 3 Pro Image) API. Use when the user asks to generate, create, edit, modify, change, alter, or update images. Also use when user references an existing image file and asks to modify it in any way (e.g., "modify this image", "change the background", "replace X with Y"). Supports both text-to-image generation and image-to-image editing with configurable resolution (1K default, 2K, or 4K for high resolution). DO NOT read the image file first - use this skill directly with the --input-image parameter.

2,0751,001