Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/nirholas/three.ws/aave-lending-guidenpx skills add nirholas/three.ws --skill aave-lending-guidegit clone --depth 1 https://github.com/nirholas/three.wsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/nirholas/three.ws/aave-lending-guide)<a href="https://agentmods.dev/skills/nirholas/three.ws/aave-lending-guide"><img src="https://agentmods.dev/badge/skills/nirholas/three.ws/aave-lending-guide.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00034 | $0.01251 |
| Opus 5 | $0.00017 | $0.00626 |
| Sonnet 5 | $0.00007 | $0.00250 |
| Haiku 4.5 | $0.00003 | $0.00125 |
Grade A, and why
aave-lending-guide scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Aave Lending Guide
When to use this skill
Use when the user asks about:
- How to use Aave for lending or borrowing
- Understanding Aave's risk parameters
- Managing health factor and avoiding liquidation
- Using Aave's E-mode for correlated assets
- Flash loan use cases and mechanics
- Comparing Aave deployments across chains
Protocol Knowledge
1. Aave Core Mechanics
How Aave works:
- Supply: Deposit assets to earn interest. Supplied assets can optionally be used as collateral.
- Borrow: Use supplied collateral to borrow other assets. Pay variable or stable interest.
- Interest rates: Algorithmically determined by supply/demand (utilization rate)
- aTokens: When you supply, you receive aTokens (aUSDC, aETH) that accrue interest continuously — your balance goes up over time
- Debt tokens: When you borrow, variable debt tokens track your growing debt
2. Key Parameters Per Asset
Each asset on Aave has specific risk parameters set by governance:
| Parameter | Meaning | Typical Range |
|---|---|---|
| LTV (Loan-to-Value) | Max borrowing power per collateral dollar | 50-85% |
| Liquidation Threshold | Debt/collateral ratio triggering liquidation | 65-90% |
| Liquidation Penalty | Bonus paid to liquidators from collateral | 5-15% |
| Reserve Factor | Percentage of interest going to Aave treasury | 10-30% |
| Supply Cap | Maximum amount that can be supplied | Varies |
| Borrow Cap | Maximum amount that can be borrowed | Varies |
3. Health Factor Management
The health factor is the most critical metric for borrowers:
Health Factor = (Collateral * Liquidation Threshold) / Total Debt
- HF > 2.0: Safe — significant buffer before liquidation
- HF 1.5-2.0: Comfortable — monitor during volatile periods
- HF 1.1-1.5: Caution — consider adding collateral or repaying debt
- HF < 1.1: Danger — liquidation imminent
- HF = 1.0: Liquidation triggered
To improve health factor:
- Add more collateral (supply more assets)
- Repay part of the debt
- Swap borrowed asset for one with lower volatility
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 122 lines · 34 tokens per session scan A b2c0f47b3c8e
aave-lending-guide is a skill published in the GitHub repository nirholas/three.ws (110 stars, last pushed yesterday), licensed Apache-2.0. It adds 34 tokens to every session and 1,251 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other skills, from other repositories
rtc-balance
Check RustChain wallet balance, epoch info, and network status via the public RPC.
blockchain-defi
Use this skill when asked about decentralized finance, DeFi protocols, AMM mechanics, lending and borrowing protocols, perpetual futures, yield farming, liquidity mining, liquid staking, restaking, yield optimization, DeFi security, MEV, and protocol composability. Covers AMM design (Uniswap, Curve, Balancer), lending…
stablecoin-chain-explorer
Explore stablecoin TVL distribution and yield opportunities by blockchain. Query which chains have the most stablecoins, compare cross-chain yields, and find the best opportunities on Ethereum, BSC, Arbitrum, Base, Polygon, and more. Also for protocols and issuers researching where stablecoin TVL and liquidity…
apex-copilot
Use this skill when the user is working on a Web3 project and needs Apex Foundation diligence tools: scoring a crypto/Web3 project for investment readiness, matching against the Apex portfolio of 200+ projects, finding relevant Web3 hackathons, matching against Web3 VC funds and investors, smart contract code review…
gstd-sovereign
Full agent autonomy — self-sustaining economic entity that earns GSTD, manages finances, shares intelligence, recruits agents, and promotes financial independence.
crypto-report
Analyze cryptocurrency projects with tokenomics, on-chain metrics, and market analysis. Generate comprehensive crypto research reports.