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 AndyZhuang/Opentest --skill tooluniverse-polygenic-risk-scoregit clone --depth 1 https://github.com/AndyZhuang/OpentestWrote 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/andyzhuang/opentest/tooluniverse-polygenic-risk-score)<a href="https://agentmods.dev/skills/andyzhuang/opentest/tooluniverse-polygenic-risk-score"><img src="https://agentmods.dev/badge/skills/andyzhuang/opentest/tooluniverse-polygenic-risk-score/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/andyzhuang/opentest/tooluniverse-polygenic-risk-score"><img src="https://agentmods.dev/badge/skills/andyzhuang/opentest/tooluniverse-polygenic-risk-score.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00101 | $0.03427 |
| Opus 5 | $0.00051 | $0.01714 |
| Sonnet 5 | $0.00020 | $0.00685 |
| Haiku 4.5 | $0.00010 | $0.00343 |
Grade A, and why
tooluniverse-polygenic-risk-score 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 — 398 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Polygenic Risk Score (PRS) Builder
Build and interpret polygenic risk scores for complex diseases using genome-wide association study (GWAS) data.
Overview
Use Cases:
- "Calculate my genetic risk for type 2 diabetes"
- "Build a polygenic risk score for coronary artery disease"
- "What's my genetic predisposition to Alzheimer's disease?"
- "Interpret my PRS percentile for breast cancer risk"
What This Skill Does:
- Extracts genome-wide significant variants (p < 5e-8) from GWAS Catalog
- Builds weighted PRS models using effect sizes (beta coefficients)
- Calculates individual risk scores from genotype data
- Interprets PRS as population percentiles and risk categories
What This Skill Does NOT Do:
- Diagnose disease (PRS is probabilistic, not deterministic)
- Replace clinical assessment or genetic counseling
- Account for non-genetic factors (lifestyle, environment)
- Provide treatment recommendations
Methodology
PRS Calculation Formula
A polygenic risk score is calculated as a weighted sum across genetic variants:
PRS = Σ (dosage_i × effect_size_i)
Where:
- dosage_i: Number of effect alleles at SNP i (0, 1, or 2)
- effect_size_i: Beta coefficient or log(odds ratio) from GWAS
Standardization
Raw PRS is standardized to z-scores for interpretation:
z-score = (PRS - population_mean) / population_std
This allows comparison to population distribution and percentile calculation.
Significance Thresholds
- Genome-wide significance: p < 5×10⁻⁸ (default threshold)
- This corrects for ~1 million independent tests across the genome
- Relaxed thresholds (e.g., p < 1×10⁻⁵) can include more SNPs but may add noise
Effect Size Handling
- Continuous traits (e.g., height, BMI): Beta coefficient (units of trait per allele)
- Binary traits (e.g., disease): Odds ratio converted to log-odds (beta = ln(OR))
- Missing effect sizes or non-significant SNPs are excluded
Data Sources
This skill uses ToolUniverse GWAS tools to query:
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 · 398 lines · 101 tokens per session scan A 2edd51f53ee6
tooluniverse-polygenic-risk-score is a skill published in the GitHub repository AndyZhuang/Opentest (22 stars, last pushed 6mo ago), licensed MIT. It adds 101 tokens to every session and 3,427 once invoked, about $0.0005 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 2026-09-03.
Other skills, from other repositories
instrument-data-to-allotrope
Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full…
exploratory-data-analysis
Perform bounded, local exploratory analysis of explicitly supported scientific files. Use for redacted CSV/TSV/JSON profiles; optional NumPy, HDF5, FASTA/FASTQ, and basic image metadata inspection; missingness/leakage audits; outlier and transformation sensitivity; and rigorous EDA report scaffolds. Other domain…
matlab
Build, review, migrate, and safely plan MATLAB or GNU Octave numerical workflows, including arrays, tabular/time data, tests, projects, graphics, MAT files, and explicit Python interoperability.
phylogenetics
Build and analyze phylogenetic trees using MAFFT (multiple alignment), IQ-TREE 2 (maximum likelihood), and FastTree (fast NJ/ML). Visualize with ETE3 or FigTree. For evolutionary analysis, microbial genomics, viral phylodynamics, protein family analysis, and molecular clock studies.
research-engineer
An uncompromising Academic Research Engineer. Operates with absolute scientific rigor, objective criticism, and zero flair. Focuses on theoretical correctness, formal verification, and optimal implementation across any required technology.
mapping-to-snomed
Maps clinical concept spans extracted by OpenMed to SNOMED CT concepts through a USER-SUPPLIED terminology server (the user's own Ontoserver, Snowstorm, or UMLS/UTS), never a bundled vocabulary. Use when the user wants to code findings, disorders, procedures, body structures, or substances to SNOMED CT, run an ECL…