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 experimental-design-statisticsgit 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/experimental-design-statistics)<a href="https://agentmods.dev/skills/tiangzlab/omicsclaw/experimental-design-statistics"><img src="https://agentmods.dev/badge/skills/tiangzlab/omicsclaw/experimental-design-statistics.svg" alt="Measured on agentmods" 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 | $0.00002 | $0.05069 |
| Opus 5 | $0.00001 | $0.02534 |
| Sonnet 5 | $0.00000 | $0.01014 |
| Haiku 4.5 | $0.00000 | $0.00507 |
Grade A, and why
Experimental Design 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 8d 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 — 414 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Experimental Design and Statistical Planning
Comprehensive workflow for statistical experimental design in genomics, from power analysis and sample size determination to batch-balanced experimental layouts and multiple testing strategy.
When to Use This Skill
Use this skill when you need to:
- ✅ Plan new experiments - Design from scratch with statistical rigor
- ✅ Justify sample sizes - Calculate required replicates for grant proposals
- ✅ Perform power analysis - Determine statistical power for proposed designs
- ✅ Design batch layouts - Create balanced assignments preventing confounding
- ✅ Optimize budgets - Balance sequencing depth vs. number of replicates
- ✅ Select correction methods - Choose appropriate multiple testing approaches
Don't use this skill for:
- ❌ Post-experiment analysis → Use appropriate DE analysis skills
- ❌ Simple two-sample comparisons with fixed n → Use power calculators directly
Key Concept: Proper experimental design is the foundation of reproducible science. Good design prevents confounding, maximizes statistical power, and ensures results are interpretable.
Installation
Required Software
| Software | Version | License | Commercial Use | Installation |
|---|---|---|---|---|
| DESeq2 | ≥1.30.0 | LGPL (≥3) | ✅ Permitted | BiocManager::install('DESeq2') |
| RNASeqPower | ≥1.30.0 | LGPL | ✅ Permitted | BiocManager::install('RNASeqPower') |
| ssizeRNA | ≥1.3.2 | GPL-2 | ✅ Permitted | BiocManager::install('ssizeRNA') |
| powsimR | ≥1.2.3 | GPL-3 | ✅ Permitted | BiocManager::install('powsimR') |
| IHW | ≥1.18.0 | Artistic-2.0 | ✅ Permitted | BiocManager::install('IHW') |
| osat | ≥1.38.0 | Artistic-2.0 | ✅ Permitted | install.packages('osat') |
| ggplot2 | ≥3.3.0 | MIT | ✅ Permitted | install.packages('ggplot2') |
| ggprism | ≥1.0.3 | GPL-3 | ✅ Permitted | install.packages('ggprism') |
| jsonlite | ≥1.7.0 | MIT | ✅ Permitted | install.packages('jsonlite') |
| pasilla | ≥1.18.0 | Artistic-2.0 | ✅ Permitted | BiocManager::install('pasilla') |
What ships with it
18 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.
- references/batch_effect_mitigation.md 18 KB
- references/experimental_design_best_practices.md 15 KB
- references/multiple_testing_guide.md 21 KB
- references/power_analysis_guidelines.md 19 KB
- references/qc_guidelines.md 9.0 KB
- references/software_requirements.md 8.1 KB
- references/troubleshooting_guide.md 12 KB
- scripts/batch_assignment.R 9.5 KB
- scripts/batch_validation.R 11 KB
- scripts/export_design.R 13 KB
- scripts/load_example_data.R 6.5 KB
- scripts/multiple_testing.R 13 KB
- scripts/plot_power_curves.R 11 KB
- scripts/power_atacseq.R 6.8 KB
- scripts/power_pilot_based.R 9.0 KB
- scripts/power_rnaseq.R 7.2 KB
- scripts/sample_size_de.R 9.6 KB
- scripts/sample_size_scrna.R 9.9 KB
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.
- 8d ago First seen · 414 lines · 2 tokens per session scan A e71c16d35a75
Experimental Design is a skill published in the GitHub repository TianGzlab/OmicsClaw (160 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 2 tokens to every session and 5,069 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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