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 kayzaa/k.i.t.-bot --skill ai-backtest-acceleratorgit clone --depth 1 https://github.com/kayzaa/k.i.t.-botWrote 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/kayzaa/k.i.t.-bot/ai-backtest-accelerator)<a href="https://agentmods.dev/skills/kayzaa/k.i.t.-bot/ai-backtest-accelerator"><img src="https://agentmods.dev/badge/skills/kayzaa/k.i.t.-bot/ai-backtest-accelerator/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/kayzaa/k.i.t.-bot/ai-backtest-accelerator"><img src="https://agentmods.dev/badge/skills/kayzaa/k.i.t.-bot/ai-backtest-accelerator.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00000 | $0.00672 |
| Opus 5.5 | $0.00000 | $0.00269 |
| Sonnet 5.5 | $0.00000 | $0.00134 |
| Haiku 4.5 | $0.00000 | $0.00067 |
Grade A, and why
ai-backtest-accelerator 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 1mo 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.
This is a copy
100% identical to ai-backtest-accelerator — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Backtest Accelerator
LuxAlgo-inspired AI platform that accelerates trading strategy development
Overview
Combines AI-powered strategy analysis with high-speed backtesting to rapidly iterate on trading ideas. Test hundreds of parameter combinations in minutes, with AI suggesting optimizations.
Features
Speed Optimization
- Parallel Execution: Test multiple param sets simultaneously
- GPU Acceleration: Optional CUDA support for complex calcs
- Incremental Updates: Only recalculate changed portions
- Cached Indicators: Pre-compute common indicators
AI-Powered Analysis
- Strategy Critique: AI reviews your strategy logic
- Parameter Suggestions: AI recommends optimal ranges
- Pattern Recognition: Find similar historical setups
- Risk Assessment: AI evaluates strategy risk profile
Multi-Factor Testing
- Walk-Forward: Rolling window validation
- Monte Carlo: Randomized trade ordering
- Stress Testing: Test against flash crashes, gaps
- Regime Analysis: Performance by market condition
Optimization Algorithms
- Grid Search: Exhaustive parameter sweep
- Genetic Algorithm: Evolutionary optimization
- Bayesian Optimization: Smart parameter exploration
- Random Forest: Feature importance for params
Usage
// Create accelerated backtest
const backtest = kit.backtest.accelerate({
strategy: 'momentum_cross',
symbol: 'BTCUSD',
timeframe: '1h',
period: { start: '2024-01-01', end: '2025-12-31' },
params: {
fastMA: { min: 5, max: 50, step: 5 },
slowMA: { min: 20, max: 200, step: 10 },
stopLoss: { min: 0.5, max: 3, step: 0.5 }
},
optimization: 'genetic',
aiCritique: true
});
// Run with progress callback
const results = await backtest.run((progress) => {
console.log(`${progress.tested}/${progress.total} combinations tested`);
});
// Get AI analysis
const analysis = await results.getAIAnalysis();
console.log(analysis.suggestions);
API Endpoints
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.
- 1mo ago First seen · 89 lines · 0 tokens per session scan A 6d582a44e988
ai-backtest-accelerator is a skill published in the GitHub repository kayzaa/k.i.t.-bot (5 stars, last pushed 8mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 672 tokens. A static security scan graded it A with 0 findings. It is 100% identical to ai-backtest-accelerator, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
BytesAgain Crypto Toolkit — 200+ Technical Indicators, Real-Time Market Data
Use when you need real-time crypto prices, technical indicators (RSI, MACD, Bollinger, 50+), market rankings, on-chain data, or trading signals. Zero API key required.
trading-futures
Trade perpetual futures on Binance, Bybit, Hyperliquid, MEXC with up to 200x leverage.
pump-swarm
Coordinated multi-wallet trading on Pump.fun.
copy-trading
Automatically copy trades from successful wallets on Polymarket and crypto.
slippage
Slippage estimation, optimization, and protection for trade execution.
trading-evm
Trade tokens on EVM chains - Uniswap V3, 1inch on Ethereum, Arbitrum, Optimism, Base, Polygon.