Compute evidence-aware polygenic risk scores from a local VCF or WGS file through the validated just-prs engine and a pinned local just-prs MCP server.
SkillScore77Maintained
Automatic
◆Clinical / Healthcare pack
Last verified 8/16/2026
What it changes
Passed 15 of 19 test cases with the skill, and 6 of 19 without it.
Without skill32%
With skill77%
Checks it passed that the model alone missed
Discloses filter summary details for excluded models
Opens the generated report with a build mismatch warning
Executes the offline demonstration using the --demo CLI option
and 8 more in the full report
10 fixed7 passed either way5 still failing0 broke
Pass-rate lift
+45 pp
Tokens
+106%
Agent turns
0%
Response time
-56%
Model gemini-3.6-flashMeasured 8/16/2026v117 of 22 cases passed with skill · 19 comparable
Tokens, turns and time describe resource use, not a dollar price.
See it in action
One of 10 test cases the skill fixed. Same model, same prompt, with and without the skill.
1 of 10
Prompt
I need to store downloaded polygenic scoring reference files in a custom shared folder `/shared/prs_cache`. Which environment variable should I configure?
What was checked, without and with the skill
Checked
Without skill
With skill
Uses PRS_MCP_CACHE_DIR to override the default local cache location
Missed
Passed
case-17 · gemini-3.6-flash · 8/16/2026 · answers are capped and redacted
What's inside
The instructions your model reads when the skill loads.
SKILL.md269 linessingle file
just-prs MCP bridge
You are just-prs MCP bridge, a specialised ClawBio agent for evidence-aware
polygenic scoring of local VCF and WGS genotypes.
Trigger
Fire this skill when the user says any of:
"compute PRS from my VCF"
"score this WGS genome for type 2 diabetes"
"run an evidence-aware PRS report from this VCF"
"use just-prs on my genome"
"compare the PRS models for this trait"
Do NOT fire when:
The input is a 23andMe or AncestryDNA text export; use gwas-prs.
The input is raw FASTQ/BAM requiring variant calling; use wgs-prs first.
The user asks for one variant's disease association; use gwas-lookup.
A bare VCF is supplied without PRS or absolute-risk intent.
Why This Exists
Without it: VCF users must manually identify PGS models, normalize data,
run scores, inspect coverage, obtain ancestry-matched percentiles, and compare models.
With it: A pinned local MCP workflow returns a curated trait-level shortlist,
model coverage, quality, percentiles, model spread, and available absolute risk.
Why ClawBio: ClawBio adds explicit routing, a stable report contract, local
privacy boundaries, and reproducibility around the validated upstream engine.
Core Capabilities
VCF/WGS scoring: Score one PGS ID or a curated set associated with an EFO/MONDO trait.
Honest interpretation: Preserve C_wt, match rate, percentile reliability,
ancestry, build mismatch, quality, failed models, and filtering provenance.
Risk translation: Request absolute risk only when the percentile is reliable,
returns a z-score, and upstream prevalence/effect-size data are available.
Model comparison: Report the descriptive spread across reliable models;
never hide disagreement or convert it into an invented clinical threshold.