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 agentmods add skills/choxos/biostatagent/regression-modelsnpx skills add choxos/BiostatAgent --skill regression-modelsgit clone --depth 1 https://github.com/choxos/BiostatAgentWrote 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/choxos/biostatagent/regression-models)<a href="https://agentmods.dev/skills/choxos/biostatagent/regression-models"><img src="https://agentmods.dev/badge/skills/choxos/biostatagent/regression-models.svg" alt="Measured on agentmods" 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 | $0.00031 | $0.01001 |
| Opus 5 | $0.00015 | $0.00500 |
| Sonnet 5 | $0.00006 | $0.00200 |
| Haiku 4.5 | $0.00003 | $0.00100 |
Grade A, and why
regression-models 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 5d 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 — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Regression Models
Linear Regression
Stan
data {
int<lower=0> N;
int<lower=0> K;
matrix[N, K] X;
vector[N] y;
}
parameters {
real alpha;
vector[K] beta;
real<lower=0> sigma;
}
model {
alpha ~ normal(0, 10);
beta ~ normal(0, 5);
sigma ~ exponential(1);
y ~ normal(alpha + X * beta, sigma);
}
generated quantities {
array[N] real y_rep;
for (n in 1:N)
y_rep[n] = normal_rng(alpha + X[n] * beta, sigma);
}
JAGS
model {
for (i in 1:N) {
y[i] ~ dnorm(mu[i], tau)
mu[i] <- alpha + inprod(X[i,], beta[])
}
alpha ~ dnorm(0, 0.001)
for (k in 1:K) { beta[k] ~ dnorm(0, 0.001) }
tau ~ dgamma(0.001, 0.001)
sigma <- 1/sqrt(tau)
}
Logistic Regression
Stan
data {
int<lower=0> N;
int<lower=0> K;
matrix[N, K] X;
array[N] int<lower=0,upper=1> y;
}
parameters {
real alpha;
vector[K] beta;
}
model {
alpha ~ normal(0, 2.5);
beta ~ normal(0, 2.5);
y ~ bernoulli_logit(alpha + X * beta);
}
JAGS
model {
for (i in 1:N) {
y[i] ~ dbern(p[i])
logit(p[i]) <- alpha + inprod(X[i,], beta[])
}
alpha ~ dnorm(0, 0.4) # SD ≈ 1.58
for (k in 1:K) { beta[k] ~ dnorm(0, 0.4) }
}
Poisson Regression
Stan
model {
alpha ~ normal(0, 5);
beta ~ normal(0, 2.5);
y ~ poisson_log(alpha + X * beta);
}
JAGS
model {
for (i in 1:N) {
y[i] ~ dpois(lambda[i])
log(lambda[i]) <- alpha + inprod(X[i,], beta[])
}
}
Negative Binomial (Overdispersed Counts)
Stan
parameters {
real alpha;
vector[K] beta;
real<lower=0> phi; // Overdispersion
}
model {
phi ~ exponential(1);
y ~ neg_binomial_2_log(alpha + X * beta, phi);
}
Robust Regression (Student-t Errors)
Stan
parameters {
real alpha;
vector[K] beta;
real<lower=0> sigma;
real<lower=1> nu; // Degrees of freedom
}
model {
nu ~ gamma(2, 0.1); // Prior on df
y ~ student_t(nu, alpha + X * beta, sigma);
}
QR Decomposition (For Correlated Predictors)
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.
- 5d ago First seen · 163 lines · 31 tokens per session scan A 3e4867ae4f34
regression-models is a skill published in the GitHub repository choxos/BiostatAgent (11 stars, last pushed 3mo ago), licensed MIT. It adds 31 tokens to every session and 1,001 once invoked, about $0.0002 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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