Vibe-Trading is a personal trading agent that gives an AI system tools for market analysis, algorithmic trading, backtesting, and related workflows. It is for users who want an agent to research and evaluate trading strategies or manage simulated and other trading activities. The catalogue contains skills that expose these trading capabilities to compatible agents.
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 skills add HKUDS/Vibe-Trading --skill defi-yieldgit clone --depth 1 https://github.com/HKUDS/Vibe-TradingWrote 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/hkuds/vibe-trading/defi-yield)<a href="https://agentmods.dev/skills/hkuds/vibe-trading/defi-yield"><img src="https://agentmods.dev/badge/skills/hkuds/vibe-trading/defi-yield/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/hkuds/vibe-trading/defi-yield"><img src="https://agentmods.dev/badge/skills/hkuds/vibe-trading/defi-yield.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00037 | $0.02761 |
| Opus 5 | $0.00018 | $0.01380 |
| Sonnet 5 | $0.00007 | $0.00552 |
| Haiku 4.5 | $0.00004 | $0.00276 |
Grade A, and why
defi-yield 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 11d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- defi-yield — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 265 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DeFi Yield Analysis & Optimization
Overview
Analyze and compare yields across DeFi protocols — lending, liquidity provision, staking, and yield farming — to identify the best risk-adjusted opportunities and assess sustainability. DeFi yields are a real-time proxy for crypto market leverage demand, capital allocation, and protocol health.
Core Concepts
1. DeFi Yield Sources
| Yield Source | Mechanism | Typical APY Range | Risk Level |
|---|---|---|---|
| Lending (supply) | Earn interest from borrowers | 1-15% (stablecoins 3-8%) | Low-medium |
| Borrowing cost | Interest paid by borrowers | 3-20% | N/A (cost side) |
| LP fees (AMM) | Trading fee share from DEX | 5-50% (varies by pair) | Medium-high |
| Staking | Validator/delegation rewards | 3-15% | Low-medium |
| Liquidity mining | Protocol token incentives | 10-500% (unsustainable) | High |
| Restaking | Re-hypothecated staking yield | 5-20% (ETH + AVS rewards) | Medium-high |
| Points farming | Off-chain points → future airdrop | Unknown (speculative) | Very high |
2. Lending Rate Analysis
Lending rates as market signal:
# High borrow rates = high leverage demand = bullish sentiment
# Low borrow rates = low leverage demand = bearish / waiting
def lending_rate_signal(borrow_rate_stable, borrow_rate_eth):
"""Analyze DeFi lending rates for market sentiment."""
if borrow_rate_stable > 15:
stable_signal = "extreme_demand" # Leveraged long via stablecoin borrowing
elif borrow_rate_stable > 8:
stable_signal = "elevated_demand"
elif borrow_rate_stable > 3:
stable_signal = "normal"
else:
stable_signal = "low_demand" # Bear market, no one borrowing
if borrow_rate_eth > 10:
eth_signal = "extreme_demand" # Shorting or leveraged strategies
elif borrow_rate_eth > 5:
eth_signal = "elevated"
else:
eth_signal = "low_demand"
return stable_signal, eth_signal
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.
- 11d ago First seen · 265 lines · 37 tokens per session scan A d91fa57daade
defi-yield is a skill published in the GitHub repository HKUDS/Vibe-Trading (33,177 stars, last pushed today), licensed MIT. It adds 37 tokens to every session and 2,761 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 2026-08-30.
Other skills, from other repositories
hyperliquid
Use when backtesting, deploying, checking funding readiness, or debugging a Hyperliquid strategy through Superior Trade Unified API — writing Freqtrade configs and strategy code, running sweeps, checking managed-wallet balances, trading HIP-3 perps, or diagnosing a deployment that will not start or trade.
basis-arb
Use when the user asks for spot-perp basis trade, basis arbitrage, cash-and-carry, perp discount, or any setup that reads the spot–perp basis as a positioning signal. Long-perp leg only — pure two-leg basis arb requires a paired spot short (or long) which Freqtrade can't run cleanly. The strategy below captures the…
aerodrome
Use when creating, validating, backtesting, deploying, sizing, or troubleshooting Aerodrome/Base spot trading strategies through the Superior Trade API, especially Freqtrade configs using exchange.name "aerodrome", AERO/USDC or CHECK/USDC pairs, AMM market swaps, wallet/gas balance checks, no-orderbook pricing, or…
funding-squeeze
Use when writing a strategy that captures short-squeeze setups on Hyperliquid perps — squeeze, short squeeze fuel, negative funding rally, fade the shorts, paid to long. Goes long when funding APR is deeply negative and price is already rising, then exits on funding normalisation or a time stop. Reads squeeze fuel…
bollinger-reverter-4h
Use when writing a symmetric Bollinger-band mean-reversion strategy on the 4h timeframe — BB reverter, range trader, chop strategy, ADX<25 mean reversion, band-fade with a minimalroi ladder. Long-or-short on 2-sigma band touches with RSI confirmation. Validated on BTC/ETH/SOL/DOGE; numbers and the exact ROI ladder are…
dca-weekly
Use when writing, validating, or troubleshooting a recurring scheduled buy strategy (DCA, dollar-cost averaging, weekly buys, daily buys, monthly accumulation, accumulator) on Superior Trade — especially anything that should "buy more of the same pair" on a calendar trigger rather than a price trigger.