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YieldVault Agent

Autonomous yield farming agent for BNB Chain with deterministic execution, smart contract integration, and automated decision-making.

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Autonomous yield farming agent for BNB Chain with deterministic execution, smart contract integration, and automated decision-making.

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Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
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Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

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Manual review
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
COMPLETION_REPORT.md, EXAMPLES.md, FILES_MANIFEST.md, FINAL_CHECKLIST.md, FINAL_SUMMARY.md, INTEGRATION_GUIDE.md

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Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.0.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 17 sections Open source page

YieldVault Agent

Autonomous yield farming agent for BNB Chain with deterministic execution, smart contract integration, and automated decision-making.

Features

Deterministic Decision Engine - Same input always produces same output (auditable) Smart Contract Integration - Interact with YieldVault contracts on BNB testnet/mainnet Autonomous Scheduler - Run farming decisions hourly without manual intervention Transaction Executor - Automatic DEPOSIT, WITHDRAW, HARVEST, COMPOUND, REBALANCE actions Telegram Alerts - Real-time notifications for executions, APR changes, and errors Risk Management - Conservative risk filtering (only vaults with risk_score ≀ 0.5) Yield Optimization - Net APR calculation (apr - fees - risk_penalty)

Installation

clawhub install yieldvault-agent

1. Configure

cp config.deployed.json .env.local # Edit with your contract addresses and RPC endpoint

2. Deploy Contracts (if needed)

cd contracts npm install npm run deploy:testnet

3. Run Tests

npm test # Unit tests node test.live.mock.js # Integration tests (offline) node test.live.js # Live testnet tests

4. Start Scheduler

node scheduler.js # Runs decision cycle every hour against testnet

5. Monitor Alerts

Telegram notifications sent automatically for: Execution started (vault_id, action, amount) APR changes (>1% delta) Errors (with severity level) Cycle completion (stats summary)

Architecture

Smart Contracts (BNB Testnet/Mainnet) ↓ BlockchainReader (live vault data) ↓ YieldFarmingAgent (deterministic decisions) ↓ TransactionExecutor (sign & broadcast) ↓ Scheduler (hourly automation) ↓ Notifications (Telegram alerts)

Configuration

Edit config.scheduler.json: { "chainId": 97, "interval_minutes": 60, "harvest_threshold_usd": 25, "rebalance_apr_delta": 0.02, "max_allocation_percent": 0.35, "risk_score_threshold": 0.5 }

Decision Logic

Read current vault state (APR, TVL, user balance) Calculate Net APR = apr - fees - (risk_score Γ— 0.10) Filter vaults with risk_score ≀ 0.5 Select vault with highest Net APR Decide action: HARVEST if pending_rewards β‰₯ $25 USD COMPOUND if net_apr β‰₯ 2% delta REBALANCE if another vault beats current by β‰₯ 2% NOOP if already optimized Execute transaction (with retry logic) Log execution record (SHA256 auditable)

Supported Networks

Testnet: BNB Chain Testnet (chainId: 97) Mainnet: BNB Chain Mainnet (chainId: 56)

Security

βœ… Deterministic execution (reproducible, auditable) βœ… SHA256 audit trail for every decision βœ… Risk filtering (conservative) βœ… Constraint enforcement (max 35% per vault) βœ… Retry logic with exponential backoff βœ… No hardcoded private keys (use environment variables)

Production Readiness

For mainnet deployment, add: Chainlink Oracle - Live APR feeds Hardware Wallet Support - Ledger/Trezor signing Smart Contract Audit - Professional security review Emergency Pause - Multi-sig pause mechanism See FINAL_CHECKLIST.md for complete production requirements.

Documentation

README.md - Full user guide SKILL.md - This file FINAL_CHECKLIST.md - Production requirements INTEGRATION_GUIDE.md - Smart contract integration EXAMPLES.md - Usage examples RESPUESTAS_PREGUNTAS.md - FAQ & architecture

Support

Issues & PRs welcome: https://github.com/open-web-academy/yieldvault-agent-bnb

License

MIT

Category context

Agent frameworks, memory systems, reasoning layers, and model-native orchestration.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
6 Docs
  • COMPLETION_REPORT.md Docs
  • EXAMPLES.md Docs
  • FILES_MANIFEST.md Docs
  • FINAL_CHECKLIST.md Docs
  • FINAL_SUMMARY.md Docs
  • INTEGRATION_GUIDE.md Docs