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 strategy-generatorgit 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/strategy-generator)<a href="https://agentmods.dev/skills/kayzaa/k.i.t.-bot/strategy-generator"><img src="https://agentmods.dev/badge/skills/kayzaa/k.i.t.-bot/strategy-generator/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/strategy-generator"><img src="https://agentmods.dev/badge/skills/kayzaa/k.i.t.-bot/strategy-generator.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 | $0.00891 |
| Opus 5 | $0.00000 | $0.00445 |
| Sonnet 5 | $0.00000 | $0.00178 |
| Haiku 4.5 | $0.00000 | $0.00089 |
Grade A, and why
strategy-generator 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 8d 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 strategy-generator — 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 — 140 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Strategy Generator
Skill #71 - Generate trading strategies with AI
Overview
Inspired by OctoBot AI and ChatGPT Agent trading. Use natural language to describe your trading idea and let AI generate a complete, backtestable strategy.
Features
- Natural Language Input: Describe strategy in plain English
- Code Generation: Outputs K.I.T.-compatible strategy
- Iterative Refinement: AI improves based on backtest results
- Multiple Formats: Pine Script, Python, K.I.T. native
- Risk Parameters: Auto-add risk management
- Optimization Ready: Parameters ready for walk-forward
Usage
# Generate from description
kit skill strategy-gen --describe "Buy when RSI is oversold and MACD crosses up"
# With target metrics
kit skill strategy-gen --describe "Momentum strategy for crypto" --target-sharpe 1.5
# Iterate on existing strategy
kit skill strategy-gen --improve strategy_v1.json --feedback "reduce drawdown"
Configuration
strategy_generator:
ai_model: "claude-opus-4.5"
output_formats:
- kit_native # K.I.T. JSON strategy
- python # Python class
- pinescript # TradingView Pine Script
auto_features:
risk_management: true
position_sizing: true
stop_loss: true
take_profit: true
constraints:
max_indicators: 5
min_trades_backtest: 100
max_drawdown: 20%
Example Generation
Input:
"I want a swing trading strategy for BTC.
Buy when price pulls back to the 50 EMA in an uptrend.
Sell when RSI gets overbought above 70.
Risk 2% per trade."
Output (K.I.T. Strategy):
{
"name": "BTC EMA Pullback",
"version": "1.0.0",
"type": "swing",
"timeframe": "4h",
"entry": {
"conditions": [
{"indicator": "trend", "period": 50, "direction": "up"},
{"indicator": "price", "crosses": "ema_50", "direction": "up"},
{"indicator": "rsi", "period": 14, "below": 50}
],
"type": "limit",
"offset": "0.1%"
},
"exit": {
"conditions": [
{"indicator": "rsi", "period": 14, "above": 70}
],
"stop_loss": "2%",
"take_profit": "6%"
},
"risk": {
"per_trade": "2%",
"max_positions": 3,
"max_drawdown": "10%"
}
}
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 8d ago First seen · 140 lines · 0 tokens per session scan A 33194263a9f6
strategy-generator is a skill published in the GitHub repository kayzaa/k.i.t.-bot (5 stars, last pushed 6mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 891 tokens. A static security scan graded it A with 0 findings. It is 100% identical to strategy-generator, differing in 0 lines, and is treated as a copy.
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