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Aaveclaw

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lxyeternal
aaveclaw

Aave V3 lending protocol on Base Sepolia testnet. Deposit WETH collateral, borrow USDC, repay loans, withdraw collateral, check health factor, and mint test tokens via faucet. Use when users want to interact with Aave lending, check their lending position health, or get testnet tokens.

Overview

Publisherlxyeternal
RepositoryMalSkillBench
Skill nameaaveclaw
Stars
64
Forks
14
Bundled files
16
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 16 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by lxyeternal on GitHub. Read the source before you install it.

Installation

Install the Aaveclaw AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/lxyeternal/MalSkillBench/tree/main/Dataset/Skills/benign/aaveclaw
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/lxyeternal/MalSkillBench.git /tmp/MalSkillBench
mkdir -p .claude/skills
cp -r /tmp/MalSkillBench/Dataset/Skills/benign/aaveclaw .claude/skills/aaveclaw
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Aaveclaw in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Aaveclaw on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Aaveclaw is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

aaveclaw - Aave V3 Lending on Base Sepolia

Interact with Aave V3 lending protocol on Base Sepolia testnet. Manages the full lending lifecycle using the wallet from ~/.x402-config.json.

Setup

Run setup.sh on first use to install dependencies (ethers v6):

bash scripts/setup.sh

Commands

Check Health Factor

Check the current lending position. Safe to run anytime, read-only.

bash scripts/health.sh [address]

If no address is provided, uses the configured wallet address.

Mint Test Tokens (Faucet)

Get testnet WETH or USDC from the Aave faucet. Run this first if the wallet has no tokens.

bash scripts/faucet.sh weth 1       # Mint 1 WETH
bash scripts/faucet.sh usdc 1000    # Mint 1000 USDC

Deposit Collateral

Deposit WETH as collateral into Aave. Auto-wraps native ETH to WETH if needed.

bash scripts/deposit.sh 0.5         # Deposit 0.5 WETH

Borrow USDC

Borrow USDC against deposited collateral. Uses variable interest rate.

bash scripts/borrow.sh 100          # Borrow 100 USDC

Repay Debt

Repay borrowed USDC. Use "max" to repay entire debt.

bash scripts/repay.sh 50            # Repay 50 USDC
bash scripts/repay.sh max           # Repay all debt

Withdraw Collateral

Withdraw WETH collateral. Use "max" to withdraw everything (only if no debt).

bash scripts/withdraw.sh 0.5        # Withdraw 0.5 WETH
bash scripts/withdraw.sh max        # Withdraw all

Usage Guidelines

  • Always run health.sh first to see the current position before making changes.
  • Ask the user for amounts before executing deposit, borrow, repay, or withdraw.
  • Always show the health factor after any state-changing operation (the scripts do this automatically).
  • Warn when health factor drops below 1.5 - the position is at risk of liquidation.
  • Guide new users to the faucet to get test tokens before depositing.
  • Typical flow: faucet (get tokens) -> deposit (add collateral) -> borrow (take loan) -> repay (pay back) -> withdraw (retrieve collateral).

Network Details

Error Handling

  • If private key is missing: direct user to create ~/.x402-config.json with {"private_key": "0x..."}
  • If insufficient balance: the scripts report exact balances and what is needed
  • If health factor would drop too low after borrow: Aave reverts the transaction automatically
  • If faucet fails: the faucet contract may have minting limits or may not be available

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Aaveclaw AI skill do?

Aave V3 lending protocol on Base Sepolia testnet. Deposit WETH collateral, borrow USDC, repay loans, withdraw collateral, check health factor, and mint test tokens via faucet. Use when users want to interact with Aave lending, check their lending position health, or get testnet tokens.

Why use Aaveclaw on TypingMind?

Because you install it once and use it with any model. Aaveclaw is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Aaveclaw in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/lxyeternal/MalSkillBench/tree/main/Dataset/Skills/benign/aaveclaw. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Aaveclaw?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Aaveclaw?

As many as you like. As long as a model supports skills, you can use Aaveclaw with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Aaveclaw AI skill free?

It is published on GitHub by lxyeternal. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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