Agent skill

Lasso Logistics Analysis

by aipoch in aipoch/medical-research-skills

A skill your agent uses when building a binary classification model from an expression matrix or other omics feature matrix with LASSO logistic regression, cross-validation, and coefficient path…

MITAuto-check passedData & Analytics

Install Lasso Logistics Analysis

skills CLI

$ npx skills add aipoch/medical-research-skills --skill lasso-logistics-analysis -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install aipoch/medical-research-skills lasso-logistics-analysis --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/'awesome-med-research-skills/Data Analysis/lasso-logistics-analysis' .claude/skills/lasso-logistics-analysis && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "lasso-logistics-analysis" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/awesome-med-research-skills/Data%20Analysis/lasso-logistics-analysis into .claude/skills/lasso-logistics-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lasso-logistics-analysis", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/aipoch/medical-research-skills/tree/main/awesome-med-research-skills/Data%20Analysis/lasso-logistics-analysis

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add aipoch/medical-research-skills --skill lasso-logistics-analysis -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install aipoch/medical-research-skills lasso-logistics-analysis --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/'awesome-med-research-skills/Data Analysis/lasso-logistics-analysis' .agents/skills/lasso-logistics-analysis && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "lasso-logistics-analysis" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/awesome-med-research-skills/Data%20Analysis/lasso-logistics-analysis into .agents/skills/lasso-logistics-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lasso-logistics-analysis", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add aipoch/medical-research-skills --skill lasso-logistics-analysis -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install aipoch/medical-research-skills lasso-logistics-analysis --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/'awesome-med-research-skills/Data Analysis/lasso-logistics-analysis' .cursor/skills/lasso-logistics-analysis && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "lasso-logistics-analysis" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/awesome-med-research-skills/Data%20Analysis/lasso-logistics-analysis into .cursor/skills/lasso-logistics-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lasso-logistics-analysis", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/aipoch/medical-research-skills.git --path 'awesome-med-research-skills/Data Analysis/lasso-logistics-analysis'

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add aipoch/medical-research-skills --skill lasso-logistics-analysis -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install aipoch/medical-research-skills lasso-logistics-analysis --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/'awesome-med-research-skills/Data Analysis/lasso-logistics-analysis' .gemini/skills/lasso-logistics-analysis && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "lasso-logistics-analysis" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/awesome-med-research-skills/Data%20Analysis/lasso-logistics-analysis into .gemini/skills/lasso-logistics-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lasso-logistics-analysis", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install aipoch/medical-research-skills lasso-logistics-analysis

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add aipoch/medical-research-skills --skill lasso-logistics-analysis -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/'awesome-med-research-skills/Data Analysis/lasso-logistics-analysis' .github/skills/lasso-logistics-analysis && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "lasso-logistics-analysis" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/awesome-med-research-skills/Data%20Analysis/lasso-logistics-analysis into .github/skills/lasso-logistics-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lasso-logistics-analysis", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add aipoch/medical-research-skills --skill lasso-logistics-analysis -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install aipoch/medical-research-skills lasso-logistics-analysis --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/'awesome-med-research-skills/Data Analysis/lasso-logistics-analysis' .opencode/skills/lasso-logistics-analysis && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "lasso-logistics-analysis" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/awesome-med-research-skills/Data%20Analysis/lasso-logistics-analysis into .opencode/skills/lasso-logistics-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lasso-logistics-analysis", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: lasso-logistics-analysis
GitHub stars: 2k
Token cost: ~2.3k tokens
SKILL.md length: 799 words
Files: 22 (incl. scripts, references)
Skills in repo: 578
Repo updated: Sep 17, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

A skill your agent uses when building a binary classification model from an expression matrix or other omics feature matrix with LASSO logistic regression, cross-validation, and coefficient path…

Works in 4 steps: Validate Input → Prepare Modeling Matrix → Fit LASSO Logistic Regression → …
Building a binary classification model from an expression matrix
SKILL.md covers When to Read External Files, Usage, Arguments and Input Format, plus 7 more sections
Runs R scripts from its folder

What it does

Lasso Logistics Analysis is an agent skill from aipoch/medical-research-skills. Use when building a binary classification model from an expression matrix or other omics feature matrix with LASSO logistic regression, cross-validation, and coefficient path visualization. NOT for: multiclass classification, survival/Cox models, or ordinary linear regression.

Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 25 other files, including scripts and reference files (for example `eval_report_lasso-logistics-analysis_result.json`, `references/algorithm.md` and `references/cli-guide.md`).

It sits in Data & Analytics, covering Machine learning. The repository describes itself as: Hundreds of agent skills for medical research, including protocol design, data analysis, evidence insights, and academic writing. The licence is MIT.

When your agent uses it

Building a binary classification model from an expression matrix
Other omics feature matrix with LASSO logistic regression
Cross-validation
Coefficient path visualization

Example prompts

“/lasso-logistics-analysis”

Workflow steps

4 steps, taken from the step headings in SKILL.md.

Validate Input
Prepare Modeling Matrix
Fit LASSO Logistic Regression
Save Results and Visualizations

What it can do on your machine

Read from SKILL.md and the folder at commit 686e09d. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 8 files in scripts/ (R, from the files we listed), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Lasso Logistics Analysis loads about 2.3k tokens when it runs, and up to ~5.3k if it reads all its reference files. Until then it costs about 76 tokens; SKILL.md has 799 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~76
When it runs · the whole SKILL.md, loaded when a task matches: ~2.3k
With references · SKILL.md plus every file in references/, read only if the agent opens them: ~5.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from aipoch/medical-research-skills at commit 686e09d, republished under its MIT licence (© aipoch). 799 words, ~2,256 tokens.

Download SKILL.mdSave it as .claude/skills/lasso-logistics-analysis/SKILL.md (or your agent's skills folder). This skill also uses 21 other files; get the full folder from GitHub.

name: lasso-logistics-analysis
description: Use when building a binary classification model from an expression matrix or other omics feature matrix with LASSO logistic regression, cross-validation, and coefficient path visualization. NOT for: multiclass classification, survival/Cox models, or ordinary linear regression.

LASSO Logistic Regression Analysis

When to Read External Files

Situation	File to Read	Purpose
Need algorithm details	`references/algorithm.md`	LASSO objective function, cross-validation, and interpretation
Need to run analysis	`scripts/main.R`	Execute: `Rscript scripts/main.R --input_file ... --group_file ...`
Encounter errors	`references/troubleshooting.md`	Common errors and solutions
Need CLI examples	`references/cli-guide.md`	Detailed CLI usage examples
Need test data	`tests/data/`	Sample input files for testing
Need workflow implementation details	`scripts/run_analysis.R`	Inspect orchestration, outputs, and file-writing behavior
Need input-validation or error-handling details	`scripts/utils.R`, `scripts/io.R`	Inspect validation, parsing, logging, and standardized safeguards

Usage

bash

Rscript scripts/main.R \
  --input_file ./expression_matrix.csv \
  --group_file ./groups.csv \
  --case_group case \
  --control_group control \
  --output_dir ./output/ \
  --nfolds 10 \
  --timeout_seconds 1800 \
  --seed 42

Arguments

Short	Long	Type	Default	Description
`-i`	`--input_file`	character	required	Expression matrix file (features as rows, samples as columns)
`-g`	`--group_file`	character	required	Group file with sample and group columns
`-c`	`--case_group`	character	required	Case class label encoded as `1`
`-t`	`--control_group`	character	required	Control class label encoded as `0`
`-f`	`--feature`	character	`NULL`	Optional feature list file or comma-separated feature names
`-n`	`--nfolds`	integer	`10`	Cross-validation folds: `3`, `5`, `7`, `10`
	`--cv_title`	character	`""`	Optional title for the cross-validation plot
	`--path_title`	character	`""`	Optional title for the coefficient path plot
	`--timeout_seconds`	integer	`1800`	Maximum elapsed runtime in seconds
`-o`	`--output_dir`	character	`./output/`	Output directory
`-s`	`--seed`	integer	`42`	Random seed for reproducibility

Input Format

Expression Matrix (`input_file`)

Features as rows, samples as columns, CSV or TSV format with feature IDs in the first column.

csv

,Sample01,Sample02,Sample03
TSPAN6,1.8479,1.8318,3.8276
TNMD,0.0349,0.0533,1.3889

Group File (`group_file`)

CSV or TSV with sample IDs and binary-group labels.

csv

sample,group
Sample01,case
Sample02,control
Sample03,case

Optional Feature File (`feature`)

One feature per line, or pass a comma-separated feature list directly on the CLI.

text

TNMD
DPM1
SCYL3

Output Files

File	Description
`coefficient.csv`	All coefficients at `lambda.min`
`feature_matrix.csv`	Sample-level matrix with original group labels and binary event column
`selected_features.txt`	Non-zero features at `lambda.min` excluding the intercept, when available
`missing_features.txt`	Requested features not found in the matrix, when applicable
`lasso_lambda_binary_plot.pdf`	Cross-validation curve
`lasso_var_binary_plot.pdf`	Coefficient path plot
`session_info.txt`	R session and package version info

Workflow

Step 1: Validate Input

WHEN checking validation rules or parsing behavior, READ: scripts/utils.R and scripts/io.R

Check file existence
Read expression matrix and group file
Verify samples match between files
Ensure both classes are present with at least 2 samples per class

Step 2: Prepare Modeling Matrix

WHEN checking class encoding or feature filtering behavior, READ: scripts/modeling.R

Encode case_group as 1 and control_group as 0
Optionally restrict to a user-supplied feature panel
Transpose expression data to sample-by-feature format

Step 3: Fit LASSO Logistic Regression

WHEN understanding the statistical method or lambda selection, READ: references/algorithm.md

Train a binomial glmnet model with alpha = 1
Run cv.glmnet to select the optimal lambda
Extract coefficients at lambda.min

Step 4: Save Results and Visualizations

WHEN checking output generation or plot behavior, READ: scripts/run_analysis.R and scripts/plotting.R

Save flat output files directly into output_dir
Generate cross-validation and coefficient path PDF plots
Leave plot titles empty by default unless the user provides custom titles

Methods

LASSO Logistic Regression

The model minimizes binomial deviance with an L1 penalty, shrinking weak coefficients to zero and performing embedded feature selection.

Show full SKILL.md (319 more words)Show less

Cross-Validation

cv.glmnet evaluates candidate lambda values across nfolds folds and reports lambda.min and lambda.1se.

Examples

Basic Usage

bash

Rscript scripts/main.R \
  -i ./expression_matrix.csv \
  -g ./groups.csv \
  -c case \
  -t control \
  -o ./output

Use a Feature Panel

bash

Rscript scripts/main.R \
  -i ./expression_matrix.csv \
  -g ./groups.csv \
  -c case \
  -t control \
  -f ./genes.txt \
  -o ./output

Custom Folds and Seed

bash

Rscript scripts/main.R \
  -i ./expression_matrix.csv \
  -g ./groups.csv \
  -c case \
  -t control \
  -n 5 \
  --timeout_seconds 900 \
  -s 123 \
  -o ./output

Custom Plot Titles

bash

Rscript scripts/main.R \
  -i ./expression_matrix.csv \
  -g ./groups.csv \
  -c case \
  -t control \
  --cv_title "LASSO Cross-Validation" \
  --path_title "LASSO Coefficient Paths" \
  --timeout_seconds 1200 \
  -o ./output

Error Handling

Common Errors

Error	Cause	Solution
`SKILL_FILE_NOT_FOUND`	Input file does not exist	Check file path
`SKILL_EMPTY_FILE`	An input file exists but contains no data	Verify the file is not empty
`SKILL_PARSE_ERROR`	The input file cannot be parsed as CSV or TSV	Check delimiters, headers, and encoding
`SKILL_FILE_WRITE_ERROR`	The output directory cannot be created or written	Check output path and permissions
`SKILL_EMPTY_DATA`	The loaded table has no usable rows or columns	Verify that the input file contains valid data
`SKILL_MISSING_COLUMNS`	The group file does not provide the required columns	Provide sample and group columns
`SKILL_INVALID_TYPE`	A parameter or data field has the wrong type	Ensure numeric fields are numeric and strings are valid
`SKILL_SAMPLE_MISMATCH`	Sample IDs differ between matrix and group file	Make names match exactly
`SKILL_INVALID_GROUP`	Case/control labels not found in group file	Check `--case_group` and `--control_group`
`SKILL_INVALID_DATA`	Too few classes, samples, or valid features	Review input structure and feature list
`SKILL_INVALID_PARAMETER`	Unsupported `nfolds` or empty parameter	Use documented argument values
`SKILL_DEPENDENCY_MISSING`	Required R package not installed	Install missing CRAN package
`SKILL_TIMEOUT`	Analysis exceeded the configured time limit	Reduce feature count or increase `--timeout_seconds`
`SKILL_MEMORY_ERROR`	The runtime environment cannot allocate enough memory	Reduce matrix size or available workload
`SKILL_RUNTIME_ERROR`	An unexpected runtime error occurred	Review the exact console error and retry

IF error persists, READ: references/troubleshooting.md

Testing

Test with Sample Data

bash

# Check help
Rscript scripts/main.R --help

# Run with sample data
Rscript scripts/main.R \
  -i tests/data/expression_matrix.csv \
  -g tests/data/groups.csv \
  -c case \
  -t control \
  -f tests/data/genes.csv \
  --timeout_seconds 1800 \
  -o tests/output

Validation Commands

bash

# Check coefficient output
ls -la tests/output/coefficient.csv

# Check plots exist
ls -la tests/output/lasso_lambda_binary_plot.pdf
ls -la tests/output/lasso_var_binary_plot.pdf

Implementation Checklist

CLI parsing with optparse
set.seed() for reproducibility
requireNamespace() dependency checks
Session info recording
Timeout control with --timeout_seconds
Temp file cleanup
File reading instructions in SKILL.md
Modular script structure (<150 lines per file)
Test data provided
Error handling with SKILL_* codes
Scripts in scripts/ directory
References in references/ directory

Last updated: 2026-04-17 | Version: 1.0.0

Files

SKILL.md and 21 other files (scripts, references) in awesome-med-research-skills/Data Analysis/lasso-logistics-analysis of aipoch/medical-research-skills.

SKILL.md
eval_report_lasso-logistics-analysis_result.json
references/algorithm.md
references/cli-guide.md
references/troubleshooting.md
scripts/cli_utils.R
scripts/io.R
scripts/main.R
scripts/modeling.R
scripts/plotting.R
scripts/run_analysis.R
scripts/runtime_utils.R
scripts/utils.R
tests/data/expression_matrix.csv
tests/data/genes.csv
tests/data/groups.csv
tests/run_tests.R
… and 5 more

Open the folder on GitHubat commit 686e09d

Compare with similar skills

Lasso Logistics Analysis next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Lasso Logistics Analysis compared with similar skills
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Scikit LearnzLanqing/codex-claude-academic-skills	4.7k	16 repos	~3.9k	Automated safety check: Pass	BSD-3-Clause	4 mo ago
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Questions about Lasso Logistics Analysis

What does Lasso Logistics Analysis do?

A skill your agent uses when building a binary classification model from an expression matrix or other omics feature matrix with LASSO logistic regression, cross-validation, and coefficient path…. Lasso Logistics Analysis is an agent skill from aipoch/medical-research-skills. Use when building a binary classification model from an expression matrix or other omics feature matrix with LASSO logistic regression, cross-validation, and coefficient path visualization.

When should I use Lasso Logistics Analysis?

Lasso Logistics Analysis fits situations like: building a binary classification model from an expression matrix; other omics feature matrix with LASSO logistic regression; cross-validation; coefficient path visualization.

How do I install Lasso Logistics Analysis in Claude Code?

Run `npx skills add aipoch/medical-research-skills --skill lasso-logistics-analysis -a claude-code`. Or copy the skill folder (awesome-med-research-skills/Data Analysis/lasso-logistics-analysis in aipoch/medical-research-skills) into .claude/skills/lasso-logistics-analysis in your project. Claude Code loads it when a task matches its description.

How do I install Lasso Logistics Analysis in Codex?

Run `npx skills add aipoch/medical-research-skills --skill lasso-logistics-analysis -a codex`. Or copy the skill folder (awesome-med-research-skills/Data Analysis/lasso-logistics-analysis in aipoch/medical-research-skills) into .agents/skills/lasso-logistics-analysis in your project. Codex loads it when a task matches its description.

Can I use Lasso Logistics Analysis in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add aipoch/medical-research-skills --skill lasso-logistics-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/lasso-logistics-analysis, .gemini/skills/lasso-logistics-analysis, .github/skills/lasso-logistics-analysis and .opencode/skills/lasso-logistics-analysis in your project.

What does Lasso Logistics Analysis need to run?

Going by SKILL.md and its folder, Lasso Logistics Analysis needs R for the scripts in its folder.

Does Lasso Logistics Analysis access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Lasso Logistics Analysis safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Lasso Logistics Analysis use?

Lasso Logistics Analysis is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Lasso Logistics Analysis use?

About 2.3k tokens (SKILL.md is roughly 9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3.1k tokens, read only when the agent opens those files.

What are the alternatives to Lasso Logistics Analysis?

Skills that share tags, products or a category with Lasso Logistics Analysis: Scikit Learn (zLanqing/codex-claude-academic-skills, 4.7k stars), Agentic Kaggle Workflow (FrankS-IntelLab/agentic-kaggle-skill, 188 stars), Senior Data Scientist (Raidriar7170/hermes-skilleval, 125 stars) and Geoml (italo-goncalves/geoML, 109 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Lasso Logistics Analysis?

aipoch (a GitHub organization) maintains it in aipoch/medical-research-skills, which has 1,978 GitHub stars. The repository holds 578 skills in this directory. The repository was last updated on September 17, 2026.

Source: aipoch/medical-research-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Lasso Logistics Analysis

Facts

At a glance

What it does

When your agent uses it

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

LASSO Logistic Regression Analysis

When to Read External Files

Usage

Arguments

Input Format

Expression Matrix (input_file)

Group File (group_file)

Optional Feature File (feature)

Output Files

Workflow

Step 1: Validate Input

Step 2: Prepare Modeling Matrix

Step 3: Fit LASSO Logistic Regression

Step 4: Save Results and Visualizations

Methods

LASSO Logistic Regression

Cross-Validation

Examples

Basic Usage

Use a Feature Panel

Custom Folds and Seed

Custom Plot Titles

Error Handling

Common Errors

Testing

Test with Sample Data

Validation Commands

Implementation Checklist

Files

Compare with similar skills

Similar skills

More from aipoch/medical-research-skills

Related

Questions about Lasso Logistics Analysis

Expression Matrix (`input_file`)

Group File (`group_file`)

Optional Feature File (`feature`)