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 seasonality-scannergit 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/seasonality-scanner)<a href="https://agentmods.dev/skills/kayzaa/k.i.t.-bot/seasonality-scanner"><img src="https://agentmods.dev/badge/skills/kayzaa/k.i.t.-bot/seasonality-scanner/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/seasonality-scanner"><img src="https://agentmods.dev/badge/skills/kayzaa/k.i.t.-bot/seasonality-scanner.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 | $0.00600 |
| Opus 5 | $0.00000 | $0.00300 |
| Sonnet 5 | $0.00000 | $0.00120 |
| Haiku 4.5 | $0.00000 | $0.00060 |
Grade A, and why
seasonality-scanner 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 seasonality-scanner — 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 — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Seasonality Scanner
Uncover recurring annual patterns in any asset. Track price movements over years to find seasonal trends and time your trades with confidence.
Category
Analysis
Inspired By
- TradingView Seasonals
- Seasonax
- Moore Research Center
Features
Seasonal Pattern Analysis
- Multi-Year Overlay: Compare 5, 10, 20 years of data
- Monthly Patterns: Best/worst months historically
- Weekly Patterns: Day-of-week tendencies
- Hourly Patterns: Intraday seasonality (forex sessions)
- Pattern Strength: Statistical confidence scoring
Pattern Detection
- Strong Seasons: 70%+ win rate over 10+ years
- Weak Seasons: Historical underperformance periods
- Seasonal Ranges: Typical high-low ranges by month
- Anomaly Detection: Current year vs historical average
Calendar Events
- Earnings Season: Q1/Q2/Q3/Q4 patterns
- Tax Season: April selling/buying patterns
- Holiday Effects: Santa Rally, January Effect, Sell in May
- Expiration Effects: Monthly/quarterly options expiry
- FOMC/NFP Effects: Rate decision and jobs report patterns
Commodities Specialization
- Crop Cycles: Planting/harvest seasonality
- Energy Patterns: Summer/winter demand cycles
- Metals: Industrial vs safe-haven cycles
- Soft Commodities: Weather-based patterns
Signal Generation
- Seasonal Entries: Buy/sell at optimal seasonal points
- Confirmation: Combine with technical analysis
- Risk Adjustment: Position size by confidence level
- Exit Timing: Optimal seasonal exit points
Usage
import { SeasonalityScanner } from 'kit-trading/skills/seasonality-scanner';
const scanner = new SeasonalityScanner();
// Analyze monthly seasonality
const patterns = await scanner.analyze('AAPL', {
years: 15,
granularity: 'monthly'
});
// Get best months to buy
const bestMonths = patterns.filter(m => m.winRate > 0.7);
// Get current seasonal signal
const signal = await scanner.getSignal('SPY');
// { direction: 'bullish', confidence: 0.78, reason: 'December historically +1.5%' }
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 · 75 lines · 0 tokens per session scan A bf02555fd4e8
seasonality-scanner 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 600 tokens. A static security scan graded it A with 0 findings. It is 100% identical to seasonality-scanner, differing in 0 lines, and is treated as a copy.
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