Agent skill

Km Survival Curve

by aipoch in aipoch/medical-research-skills

A skill your agent uses when generating Kaplan-Meier survival curves from tabular survival data containing time, event status, and a precomputed risk group.

MITAuto-check passedDocuments & Office

Install Km Survival Curve

skills CLI

$ npx skills add aipoch/medical-research-skills --skill km-survival-curve -a claude-code

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

GitHub CLI

$ gh skill install aipoch/medical-research-skills km-survival-curve --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/km-survival-curve' .claude/skills/km-survival-curve && 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 "km-survival-curve" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/awesome-med-research-skills/Data%20Analysis/km-survival-curve into .claude/skills/km-survival-curve/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "km-survival-curve", 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/km-survival-curve

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 km-survival-curve -a codex

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

GitHub CLI

$ gh skill install aipoch/medical-research-skills km-survival-curve --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/km-survival-curve' .agents/skills/km-survival-curve && 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 "km-survival-curve" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/awesome-med-research-skills/Data%20Analysis/km-survival-curve into .agents/skills/km-survival-curve/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "km-survival-curve", 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 km-survival-curve -a cursor

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

GitHub CLI

$ gh skill install aipoch/medical-research-skills km-survival-curve --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/km-survival-curve' .cursor/skills/km-survival-curve && 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 "km-survival-curve" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/awesome-med-research-skills/Data%20Analysis/km-survival-curve into .cursor/skills/km-survival-curve/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "km-survival-curve", 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/km-survival-curve'

--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 km-survival-curve -a gemini-cli

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

GitHub CLI

$ gh skill install aipoch/medical-research-skills km-survival-curve --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/km-survival-curve' .gemini/skills/km-survival-curve && 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 "km-survival-curve" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/awesome-med-research-skills/Data%20Analysis/km-survival-curve into .gemini/skills/km-survival-curve/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "km-survival-curve", 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 km-survival-curve

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 km-survival-curve -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/km-survival-curve' .github/skills/km-survival-curve && 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 "km-survival-curve" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/awesome-med-research-skills/Data%20Analysis/km-survival-curve into .github/skills/km-survival-curve/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "km-survival-curve", 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 km-survival-curve -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 km-survival-curve --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/km-survival-curve' .opencode/skills/km-survival-curve && 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 "km-survival-curve" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/awesome-med-research-skills/Data%20Analysis/km-survival-curve into .opencode/skills/km-survival-curve/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "km-survival-curve", 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: km-survival-curve
GitHub stars: 1.9k
Token cost: ~2.5k tokens
SKILL.md length: 955 words
Files: 13 (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 generating Kaplan-Meier survival curves from tabular survival data containing time, event status, and a precomputed risk group.

Works in 3 steps: Confirm the input file exists and… → Run scripts/main.R with the requested… → Check the output directory for…
Generating Kaplan-Meier survival curves from tabular survival data containing time
SKILL.md covers Use This Skill When, Primary Command, Prerequisites and Core Arguments, plus 12 more sections
Runs R scripts from its folder; reaches cloud.r-project.org

What it does

Km Survival Curve is an agent skill from aipoch/medical-research-skills. Use when generating Kaplan-Meier survival curves from tabular survival data containing time, event status, and a precomputed risk group. Supports command-line parameter input, parameter validation, automatic time-unit handling, single-file PDF figure export, and session metadata capture.

Its SKILL.md is about 2.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 16 other files, including scripts and reference files (for example `eval_report_km-survival-curve_result.json`, `references/algorithm.md` and `references/cli-guide.md`).

It sits in Documents & Office. 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

Generating Kaplan-Meier survival curves from tabular survival data containing time
A precomputed risk group

Example prompts

“/km-survival-curve”

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

Confirm the input file exists and identify the time, status, and group columns.
Run scripts/main.R with the requested output directory and any optional plot parameters.
Check the output directory for km-plot.pdf.

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 4 files in scripts/ (R), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
- cloud.r-project.org
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

Km Survival Curve loads about 2.5k tokens when it runs, and up to ~5.8k if it reads all its reference files. Until then it costs about 77 tokens; SKILL.md has 955 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~77
When it runs · the whole SKILL.md, loaded when a task matches: ~2.5k
With references · SKILL.md plus every file in references/, read only if the agent opens them: ~5.8k

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). 955 words, ~2,451 tokens.

Download SKILL.mdSave it as .claude/skills/km-survival-curve/SKILL.md (or your agent's skills folder). This skill also uses 12 other files; get the full folder from GitHub.

name: km-survival-curve
description: Use when generating Kaplan-Meier survival curves from tabular survival data containing time, event status, and a precomputed risk group. Supports command-line parameter input, parameter validation, automatic time-unit handling, single-file PDF figure export, and session metadata capture.
license: MIT
author: AIPOCH

Source: https://github.com/aipoch/medical-research-skills

Kaplan-Meier Survival Curve Analysis

Use this skill to run Kaplan-Meier survival analysis on a tabular dataset and export a single PDF survival figure.

Use This Skill When

You need a Kaplan-Meier survival curve from a table containing time, status, and group columns.
You need a command-line survival workflow with parameter validation.
You need a single Kaplan-Meier plot as the final analysis result.

Primary Command

bash

Rscript scripts/main.R \
  --input_file <input_file> \
  --output_dir <output_dir> \
  --time_col <time_column> \
  --status_col <status_column> \
  --risk_col <group_column>

Prerequisites

Rscript is available in the shell.
Required R packages: optparse, data.table, survival, survminer, ggplot2.
Install missing packages with Rscript -e 'install.packages(c("optparse", "data.table", "survival", "survminer", "ggplot2"), repos="https://cloud.r-project.org")'.

Core Arguments

Argument	Required	Description
`--input_file`	Yes	Input data file in CSV or tab-delimited TXT/TSV format
`--output_dir`	No	Output directory, default `./KM_Results`
`--time_col`	No	Survival time column, default `futime`
`--status_col`	No	Event status column, default `fustat`
`--risk_col`	No	Risk group column, default `risk_group`
`--time_unit`	No	Time unit label: `year`, `month`, or `day`, default `year`
`--auto_convert_days`	No	Heuristically convert large time values from days when `time_unit` is `year` or `month`, default `true`
`--statistics_method`	No	`logrank` or `wald`, default `logrank`

Plot Customization Arguments

Argument	Default	Description
`--figure_width`	`10`	Figure width in inches
`--figure_height`	`7`	Figure height in inches
`--figure_family`	`sans`	Font family
`--title_x`	`Time`	X-axis title. If left as default, the script renders `Time (<time_unit>)`
`--title_y`	`Survival probability`	Y-axis title
`--title_main`	empty	Plot title
`--legend_position`	`top`	`top`, `bottom`, `left`, `right`, `none`
`--legend_show`	`true`	Whether to show legend
`--legend_title`	empty	Legend title
`--line_type`	`solid`	Survival line type: `solid`, `dashed`, `dotted`, `dotdash`, `longdash`, `twodash`
`--line_size`	`1`	Survival line width
`--line_colors`	`#4DBBD5,#E64B35,#00A087,#3C5488,#F39B7F,#8491B4,#91D1C2,#DC0000`	Comma-separated group colors
`--censor_show`	`true`	Whether to show censor markers
`--censor_size`	`7`	Censor marker size
`--confidence_show`	`true`	Whether to show confidence interval
`--confidence_alpha`	`0.2`	Confidence band transparency
`--risk_table_show`	`true`	Whether to show the risk table
`--risk_table_border`	`true`	Whether to show the risk table border
`--risk_table_panel`	`false`	Whether to show the risk table panel background
`--risk_table_size`	`6`	Risk table font size
`--axis_title_size`	`12`	Axis title font size
`--axis_text_size`	`10`	Axis tick-label font size
`--legend_text_size`	`11`	Legend text font size

Input Requirements

The input file must contain the requested time, status, and group columns.
.txt inputs must be tab-delimited.
time must contain finite non-negative numeric values.
status must be coded as 0 for censored and 1 for event.
The risk group column must be a precomputed categorical grouping variable, not a continuous score column.
The risk group column must contain at least 2 groups after filtering.
--line_colors must provide at least one color per retained group when you override the default palette.
Rows with missing time, status, or group values are removed before analysis.
At least 2 complete observations must remain after filtering.
Near-unique or continuous-looking grouping columns are rejected before model fitting.
If --auto_convert_days true and max(time) > 365, the script assumes the retained time values are in days and converts them to the requested --time_unit when time_unit is year or month.
Only use --auto_convert_days true when the source time column is known to be in days.
If your source data are already in years or months, disable --auto_convert_days to avoid incorrect conversion.
--statistics_method wald only supports exactly 2 retained groups; use logrank for multi-group comparisons.
Invalid plotting parameters such as unsupported --line_type values are rejected before plotting.

Example input:

text

id	fustat	futime	risk_score	risk_group	GPR161	RIBC2
TCGA-C5-A1M5	1	5.62191780821918	-1.10702407761445	low	2.82521576230566	5.35318564979635
TCGA-VS-A94W	0	3.40547945205479	-0.671246677921865	high	4.26241812321536	4.00802068790173

Bundled test datasets:

tests/data/km_sample1.txt: baseline KM example with risk_group
tests/data/km_sample2.txt: alternate cohort for plotting and statistics examples
tests/data/km_sample3.txt: additional cohort for validation and repeated testing

Show full SKILL.md (402 more words)Show less

Minimal Workflow

Confirm the input file exists and identify the time, status, and group columns.
Run scripts/main.R with the requested output directory and any optional plot parameters.
Check the output directory for km-plot.pdf.

If you omit --input_file, the script exits with SKILL_MISSING_INPUT.

Outputs

Expected output:

text

<output_dir>/
├── km-plot.pdf
└── session_info.txt

Interpretation Guide

Use the survival figure to inspect separation between groups over time.
Use the p-value annotation, confidence interval, and risk table in the figure to interpret group separation.

Time Conversion Caution

Automatic conversion is a convenience heuristic, not a unit detector.
The script only checks whether max(time) > 365; it does not infer the true source unit from metadata.
If the input time column is already expressed in years or months, run with --auto_convert_days false.
Review the console log for the conversion warning whenever time_unit is year or month.

Reproducibility Note

Repeated runs on identical input should be analytically consistent.
The exported km-plot.pdf may not be byte-identical across repeated runs because PDF metadata and graphics-device output can vary.
If you need byte-stable artifacts, add a deterministic PDF post-processing step outside this skill.

Do Not Use This Skill When

You need this tool to derive a cutoff or split a continuous score into risk groups.
You need multivariable Cox regression, covariate adjustment, or hazard-ratio modeling beyond the p-value route already exposed here.
You need a broader survival-analysis workflow with upstream feature engineering, biomarker selection, or data harmonization.
You need multiple plots, report generation, or downstream interpretation beyond producing one Kaplan-Meier figure and session metadata.

Read These Files When Needed

Need	File
Kaplan-Meier method details and interpretation	`references/algorithm.md`
More CLI examples	`references/cli-guide.md`
Error diagnosis	`references/troubleshooting.md`
Main execution entry point	`scripts/main.R`
Sample test data	`tests/data/km_sample1.txt`, `tests/data/km_sample2.txt`, `tests/data/km_sample3.txt`

Quick Examples

Basic Kaplan-Meier analysis:

bash

Rscript scripts/main.R \
  --input_file tests/data/km_sample1.txt \
  --output_dir tests/output_basic

Custom column names:

bash

Rscript scripts/main.R \
  --input_file tests/data/km_sample1.txt \
  --time_col futime \
  --status_col fustat \
  --risk_col risk_group \
  --output_dir tests/output_custom_columns

Custom plot title:

bash

Rscript scripts/main.R \
  --input_file tests/data/km_sample2.txt \
  --title_main "Study KM Curve" \
  --output_dir tests/output_title

Hide confidence interval and risk table:

bash

Rscript scripts/main.R \
  --input_file tests/data/km_sample3.txt \
  --confidence_show false \
  --risk_table_show false \
  --output_dir tests/output_simple

Validation

bash

Rscript scripts/main.R --help

bash

Rscript scripts/main.R \
  --input_file tests/data/km_sample1.txt \
  --output_dir tests/validation_output

After running analysis, verify that tests/validation_output/km-plot.pdf exists.

Common Errors

SKILL_FILE_NOT_FOUND: Input file path is wrong or inaccessible.
SKILL_MISSING_COLUMNS: A requested time, status, or risk group column is missing.
SKILL_INVALID_DATA: Input data is malformed or unsuitable for survival analysis.
SKILL_INVALID_DATA: A continuous or near-unique risk column was supplied where a categorical group column is required.
SKILL_INVALID_PARAMETER: An argument value is invalid.
SKILL_INVALID_PARAMETER: Plotting options such as --line_type or --line_colors are incompatible with the retained groups.
SKILL_INSUFFICIENT_DATA: Too few complete observations remain after filtering.
SKILL_DEPENDENCY_MISSING: A required R package such as optparse or survival is unavailable.

If the issue is not obvious, read references/troubleshooting.md.

Files

SKILL.md and 12 other files (scripts, references) in awesome-med-research-skills/Data Analysis/km-survival-curve of aipoch/medical-research-skills.

SKILL.md
eval_report_km-survival-curve_result.json
references/algorithm.md
references/cli-guide.md
references/troubleshooting.md
scripts/functions.R
scripts/main.R
scripts/run_analysis.R
scripts/utils.R
tests/data/km_custom_columns.csv
tests/data/km_sample1.txt
tests/data/km_sample2.txt
tests/data/km_sample3.txt

Open the folder on GitHubat commit 686e09d

Compare with similar skills

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Questions about Km Survival Curve

What does Km Survival Curve do?

A skill your agent uses when generating Kaplan-Meier survival curves from tabular survival data containing time, event status, and a precomputed risk group. Km Survival Curve is an agent skill from aipoch/medical-research-skills. Use when generating Kaplan-Meier survival curves from tabular survival data containing time, event status, and a precomputed risk group.

When should I use Km Survival Curve?

Km Survival Curve fits situations like: generating Kaplan-Meier survival curves from tabular survival data containing time; A precomputed risk group.

How do I install Km Survival Curve in Claude Code?

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

How do I install Km Survival Curve in Codex?

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

Can I use Km Survival Curve 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 km-survival-curve -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/km-survival-curve, .gemini/skills/km-survival-curve, .github/skills/km-survival-curve and .opencode/skills/km-survival-curve in your project.

What does Km Survival Curve need to run?

Going by SKILL.md and its folder, Km Survival Curve needs R for the scripts in its folder.

Does Km Survival Curve access the network?

SKILL.md names 1 domain. In commands or code: cloud.r-project.org; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Km Survival Curve 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 Km Survival Curve use?

Km Survival Curve is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Km Survival Curve use?

About 2.5k tokens (SKILL.md is roughly 9.8k 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 3.4k tokens, read only when the agent opens those files.

What are the alternatives to Km Survival Curve?

Skills that share tags, products or a category with Km Survival Curve: Mathmodel Skill (handsomeZR-netizen/mathmodel-skill, 292 stars), Power Design (ItsssssJack/power-design, 722 stars), Paginated Report (data-goblin/power-bi-agentic-development, 1k stars) and Data Cleanup (sgharlow/claude-code-recipes, 389 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Km Survival Curve?

aipoch (a GitHub organization) maintains it in aipoch/medical-research-skills, which has 1,937 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 Km Survival Curve

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

Kaplan-Meier Survival Curve Analysis

Use This Skill When

Primary Command

Prerequisites

Core Arguments

Plot Customization Arguments

Input Requirements

Minimal Workflow

Outputs

Interpretation Guide

Time Conversion Caution

Reproducibility Note

Do Not Use This Skill When

Read These Files When Needed

Quick Examples

Validation

Common Errors

Files

Compare with similar skills

Similar skills

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Questions about Km Survival Curve