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 MonumentalSystems/Atlas-Agent-Teams --skill statistical-analysisgit clone --depth 1 https://github.com/MonumentalSystems/Atlas-Agent-TeamsWrote 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/monumentalsystems/atlas-agent-teams/statistical-analysis)<a href="https://agentmods.dev/skills/monumentalsystems/atlas-agent-teams/statistical-analysis"><img src="https://agentmods.dev/badge/skills/monumentalsystems/atlas-agent-teams/statistical-analysis/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/monumentalsystems/atlas-agent-teams/statistical-analysis"><img src="https://agentmods.dev/badge/skills/monumentalsystems/atlas-agent-teams/statistical-analysis.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 | $0.00025 | $0.01364 |
| Opus 5 | $0.00013 | $0.00682 |
| Sonnet 5 | $0.00005 | $0.00273 |
| Haiku 4.5 | $0.00003 | $0.00136 |
Grade A, and why
statistical-analysis 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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Statistical Analysis
Statistical Methods and Tests
Descriptive Statistics
- Measures of Central Tendency: Mean, median, mode
- Measures of Dispersion: Variance, standard deviation, range, interquartile range
- Distribution Shape: Skewness, kurtosis
- Correlation: Pearson, Spearman, Kendall correlation coefficients
- Covariance: Measure of joint variability
Probability Distributions
- Normal Distribution: Bell curve, symmetric, defined by mean and standard deviation
- Binomial Distribution: Number of successes in n independent trials
- Poisson Distribution: Number of events in fixed interval
- Exponential Distribution: Time between events in Poisson process
- Chi-Square Distribution: Sum of squared normal variables
Inferential Statistics
- Confidence Intervals: Range of values likely to contain population parameter
- Hypothesis Testing: Formal procedure for testing claims about populations
- p-values: Probability of observing results as extreme as current, assuming null hypothesis
- Statistical Power: Probability of correctly rejecting false null hypothesis
- Effect Size: Magnitude of difference or relationship
Hypothesis Testing
Hypothesis Structure
- Null Hypothesis (H0): Default assumption, no effect or difference
- Alternative Hypothesis (H1): Claim to be tested, effect or difference exists
- Type I Error: Rejecting true null hypothesis (false positive)
- Type II Error: Failing to reject false null hypothesis (false negative)
- Significance Level (α): Threshold for rejecting null hypothesis (typically 0.05)
Common Statistical Tests
- t-test: Compare means between two groups
- One-sample t-test: Compare sample mean to known value
- Independent t-test: Compare means of two independent groups
- Paired t-test: Compare means of paired samples
- ANOVA: Compare means across multiple groups
- One-way ANOVA: Single factor
- Two-way ANOVA: Two factors with interaction
- Chi-Square Test: Test independence between categorical variables
- Mann-Whitney U Test: Non-parametric alternative to t-test
- Kruskal-Wallis Test: Non-parametric alternative to ANOVA
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.
- 9d ago First seen · 139 lines · 25 tokens per session scan A 131506b62fc6
statistical-analysis is a skill published in the GitHub repository MonumentalSystems/Atlas-Agent-Teams (21 stars, last pushed 28d ago), licensed MIT. It adds 25 tokens to every session and 1,364 once invoked, about $0.0001 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.
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