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 statistics-librarygit 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/statistics-library)<a href="https://agentmods.dev/skills/kayzaa/k.i.t.-bot/statistics-library"><img src="https://agentmods.dev/badge/skills/kayzaa/k.i.t.-bot/statistics-library/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/statistics-library"><img src="https://agentmods.dev/badge/skills/kayzaa/k.i.t.-bot/statistics-library.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 | $0.01688 |
| Opus 5 | $0.00000 | $0.00844 |
| Sonnet 5 | $0.00000 | $0.00338 |
| Haiku 4.5 | $0.00000 | $0.00169 |
Grade A, and why
statistics-library 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 statistics-library — 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 — 194 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Statistics Library Skill
120+ statistical calculations in a single library - TradingView Featured Scripts inspired
Overview
Comprehensive statistics library providing 120+ calculations for quantitative analysis, risk metrics, and strategy optimization. Based on TradingView's featured statistical libraries with K.I.T. enhancements.
Categories
1. Descriptive Statistics (20+)
| Function | Description |
|---|---|
mean() |
Arithmetic mean |
median() |
Median value |
mode() |
Most frequent value |
variance() |
Population variance |
stdev() |
Standard deviation |
skewness() |
Distribution asymmetry |
kurtosis() |
Distribution tail heaviness |
range() |
Max - Min |
iqr() |
Interquartile range |
percentile() |
Nth percentile |
zscore() |
Standardized score |
mad() |
Mean absolute deviation |
cv() |
Coefficient of variation |
sem() |
Standard error of mean |
gmean() |
Geometric mean |
hmean() |
Harmonic mean |
wmean() |
Weighted mean |
trimean() |
Tukey trimean |
winsorize() |
Winsorized mean |
entropy() |
Shannon entropy |
2. Risk Metrics (25+)
| Function | Description |
|---|---|
sharpe() |
Sharpe ratio |
sortino() |
Sortino ratio (downside) |
calmar() |
Calmar ratio |
treynor() |
Treynor ratio |
omega() |
Omega ratio |
sterling() |
Sterling ratio |
burke() |
Burke ratio |
ulcer() |
Ulcer index |
pain() |
Pain index |
var() |
Value at Risk |
cvar() |
Conditional VaR (Expected Shortfall) |
maxDrawdown() |
Maximum drawdown |
avgDrawdown() |
Average drawdown |
recoveryTime() |
Time to recover from DD |
kellyFraction() |
Kelly criterion position sizing |
profitFactor() |
Gross profit / Gross loss |
expectancy() |
Expected value per trade |
sqn() |
System Quality Number |
lakeRatio() |
Lake ratio |
gainPain() |
Gain to pain ratio |
tail() |
Tail ratio |
commonSense() |
Common sense ratio |
cpc() |
CPC index |
kRatio() |
K-ratio |
martin() |
Martin ratio |
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 · 194 lines · 0 tokens per session scan A eb07e5b91fa4
statistics-library 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 1,688 tokens. A static security scan graded it A with 0 findings. It is 100% identical to statistics-library, differing in 0 lines, and is treated as a copy.
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