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 TianGzlab/OmicsClaw --skill survival-analysis-clinicalgit clone --depth 1 https://github.com/TianGzlab/OmicsClawWrote 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/tiangzlab/omicsclaw/survival-analysis-clinical)<a href="https://agentmods.dev/skills/tiangzlab/omicsclaw/survival-analysis-clinical"><img src="https://agentmods.dev/badge/skills/tiangzlab/omicsclaw/survival-analysis-clinical/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/tiangzlab/omicsclaw/survival-analysis-clinical"><img src="https://agentmods.dev/badge/skills/tiangzlab/omicsclaw/survival-analysis-clinical.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00005 | $0.04549 |
| Opus 5 | $0.00003 | $0.02275 |
| Sonnet 5 | $0.00001 | $0.00910 |
| Haiku 4.5 | $0.00001 | $0.00455 |
Grade A, and why
Clinical Survival & Outcome 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 11d 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 — 284 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Clinical Survival & Outcome Analysis
Kaplan-Meier survival estimation, Cox proportional hazards regression, and risk stratification for clinical and real-world evidence (RWE) datasets.
When to Use This Skill
Use this skill when you need to:
- Estimate survival curves (Kaplan-Meier) with confidence intervals and risk tables
- Identify prognostic factors via Cox proportional hazards regression
- Stratify patients by risk using Cox model linear predictor
- Test proportional hazards assumption with Schoenfeld residuals
- Compare survival between groups (molecular subtypes, treatment arms, biomarker levels)
- Generate forest plots of hazard ratios for multi-covariate models
Don't use this skill for:
- ❌ Biomarker panel selection from omics → use
lasso-biomarker-panel - ❌ Differential expression analysis → use
bulk-rnaseq-counts-to-de-deseq2 - ❌ Disease trajectory / longitudinal modeling → use
disease-progression-longitudinal - ❌ Genetic association / Mendelian randomization → use
mendelian-randomization-twosamplemr
Installation
options(repos = c(CRAN = "https://cloud.r-project.org"))
if (!require('BiocManager', quietly = TRUE)) install.packages('BiocManager')
# Core (required)
install.packages(c('survival', 'ggplot2', 'ggprism', 'scales'))
# Enhanced KM curves with risk tables (recommended)
install.packages('survminer')
# Example data: TCGA BRCA (optional, needed for tcga_brca demo)
BiocManager::install('RTCGA.clinical')
| Software | Version | License | Commercial Use | Installation |
|---|---|---|---|---|
| survival | >=3.5 | LGPL (>=2) | ✅ Permitted | install.packages('survival') |
| ggplot2 | >=3.4 | MIT | ✅ Permitted | install.packages('ggplot2') |
| ggprism | >=1.0.3 | GPL (>=3) | ✅ Permitted | install.packages('ggprism') |
| scales | >=1.2 | MIT | ✅ Permitted | install.packages('scales') |
| survminer | >=0.4.9 | GPL (>=2) | ✅ Permitted | install.packages('survminer') |
What ships with it
6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 11d ago First seen · 284 lines · 5 tokens per session scan A 055a83c7a487
Clinical Survival & Outcome Analysis is a skill published in the GitHub repository TianGzlab/OmicsClaw (160 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 5 tokens to every session and 4,549 once invoked, about $0.0000 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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