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 LeoLin990405/r-analytics-skill --skill mclustgit clone --depth 1 https://github.com/LeoLin990405/r-analytics-skillWrote 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/leolin990405/r-analytics-skill/mclust)<a href="https://agentmods.dev/skills/leolin990405/r-analytics-skill/mclust"><img src="https://agentmods.dev/badge/skills/leolin990405/r-analytics-skill/mclust/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/leolin990405/r-analytics-skill/mclust"><img src="https://agentmods.dev/badge/skills/leolin990405/r-analytics-skill/mclust.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 | $0.00024 | $0.00523 |
| Opus 5 | $0.00012 | $0.00262 |
| Sonnet 5 | $0.00005 | $0.00105 |
| Haiku 4.5 | $0.00002 | $0.00052 |
Grade A, and why
mclust scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
mclust
Gaussian mixture modeling for model-based clustering.
Basic Clustering
library(mclust)
# Model-based clustering
mc <- Mclust(data)
# Summary
summary(mc)
# Results
mc$classification # Cluster assignments
mc$G # Number of clusters
mc$modelName # Best model
mc$BIC # BIC values
Specify Clusters
# Fixed number of clusters
mc <- Mclust(data, G = 3)
# Range of clusters
mc <- Mclust(data, G = 1:9)
Model Selection
# BIC plot
plot(mc, what = "BIC")
# Available models
# E = equal, V = variable
# I = spherical, E = diagonal, V = ellipsoidal
# EII, VII, EEI, VEI, EVI, VVI, EEE, EVE, VEE, VVE, EEV, VEV, EVV, VVV
Visualization
# Classification plot
plot(mc, what = "classification")
# Uncertainty plot
plot(mc, what = "uncertainty")
# Density plot
plot(mc, what = "density")
# All plots
plot(mc)
Density Estimation
# Density estimation
dens <- densityMclust(data)
# Plot
plot(dens, what = "density")
plot(dens, what = "persp") # 3D
Discriminant Analysis
# Model-based discriminant analysis
mda <- MclustDA(train_data, train_labels)
# Predict
pred <- predict(mda, newdata = test_data)
pred$classification
Dimension Reduction
# Cluster with dimension reduction
mc <- MclustDR(data)
# Plot
plot(mc, what = "pairs")
plot(mc, what = "boundaries")
Bootstrap
# Bootstrap LRT
boot <- mclustBootstrapLRT(data, modelName = "VVV")
boot
ICL Criterion
# ICL (Integrated Complete-data Likelihood)
mc <- Mclust(data)
icl <- mclustICL(data)
plot(icl)
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 · 115 lines · 24 tokens per session scan A 82dee45760e7
mclust is a skill published in the GitHub repository LeoLin990405/r-analytics-skill (5 stars, last pushed 6mo ago), licensed MIT. It adds 24 tokens to every session and 523 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 2026-09-03.
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