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tooluniverse-acmg-variant-classification

Systematic ACMG/AMP germline variant classification with all 28 criteria (PVS1, PS1-4, PM1-6, PP1-5, BA1, BS1-4, BP1-7) for clinical significance. Produces 5-tier verdict (Pathogenic / Likely Pathogenic / VUS / Likely Benign / Benign) with cited evidence per criterion. Use for variant interpretation, VUS resolution, and pathogenicity assessment. Combines ClinVar, gnomAD, computational predictors, and gene-mechanism context.

73

Quality

92%

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SKILL.md
Quality
Evals
Security

Quality

Content

88%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A highly actionable, well-sequenced classification workflow with concrete tool calls, thresholds, validation checkpoints, and worked patterns. Its weaknesses are mild: some rationale prose that could be trimmed and a monolithic single-file layout where reference splitting would help.

Suggestions

Compress the InterVar data-quality narrative to its operational warning (documented example is wrong; re-verify live and pass your own encoded variant), cutting roughly a paragraph of backstory.

Move the 18-row Tool Parameter Reference and per-criterion threshold detail into a single references/ file (one level deep, linked from the body) to shrink the always-loaded SKILL.md.

Trim the 'ACMG Reasoning' section to only the skill-specific guidance (combination emphasis, the two common errors), dropping the generic PVS1 > PS > PM > PP hierarchy recap.

DimensionReasoningScore

Conciseness

The body is dense with operational content — tool parameter tables, hard thresholds (REVEL >= 0.7, mis_z > 3.09, pLI >= 0.9), combination rules, and an output template — with almost no filler. Minor over-explanation remains: the 'ACMG Reasoning' section restates guideline hierarchy Claude largely knows, and the two-paragraph InterVar verified-live narrative (documented worked example vs. live API result) could be compressed to its operational warning.

4 / 5

Actionability

Fully executable guidance throughout: concrete tool calls with parameters (e.g. VariantValidator_validate_variant(variant_description=..., genome_build="GRCh38", select_transcripts="mane_select")), explicit numeric cutoffs per criterion, a complete classification decision algorithm, a copy-ready output report template, and four worked end-to-end patterns with concrete variants and results.

5 / 5

Workflow Clarity

Phases 0–6 are clearly sequenced with explicit validation: Phase 0 validates/normalizes the variant before any evidence gathering ('Wrong HGVS or wrong transcript cascades errors... Validate first'), BA1 provides a documented short-circuit, and the InterVar cross-check acts as a terminal validation with a defined feedback loop ('if they disagree, treat it as a reason to re-examine your manual criteria'). Common Patterns show complete flows with final verdicts.

5 / 5

Progressive Disclosure

The single SKILL.md is well-sectioned (Tool Parameter Reference, Phases 0–6, algorithm, output format, patterns) and easy to navigate, with no nested-reference problem since no bundle files exist. However, at ~250 lines everything is inline — the 18-row tool table and per-criterion detail could be split into one-level references — so it stops short of the well-signaled split structure of the top anchor.

4 / 5

Total

18

/

20

Passed

Description

92%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong, specific description that clearly states what the skill does, when to use it, and which data sources it combines, with domain-accurate trigger terms. The only minor gap is a few natural user synonyms (e.g. 'mutation', question-form phrasing) beyond the ones present.

DimensionReasoningScore

Specificity

The description lists multiple concrete actions: 'Systematic ACMG/AMP germline variant classification with all 28 criteria', 'Produces 5-tier verdict (Pathogenic / Likely Pathogenic / VUS / Likely Benign / Benign) with cited evidence per criterion', and 'Combines ClinVar, gnomAD, computational predictors, and gene-mechanism context'. These are specific, comprehensive capabilities rather than generic claims, matching the top anchor.

5 / 5

Completeness

It explicitly answers both questions: what it does ('Systematic ACMG/AMP germline variant classification... Produces 5-tier verdict... with cited evidence') and when to use it ('Use for variant interpretation, VUS resolution, and pathogenicity assessment'), with concrete trigger phrases.

5 / 5

Trigger Term Quality

Strong natural-term coverage: 'variant interpretation', 'VUS resolution', 'pathogenicity assessment', 'ACMG/AMP', 'ClinVar', 'gnomAD', 'germline variant classification' — phrases a clinical-genomics user would plausibly say. A few common synonyms are absent (e.g. 'mutation', 'is this variant pathogenic' as a question form), placing it just below the comprehensive-synonyms anchor of 5.

4 / 5

Distinctiveness Conflict Risk

A clear niche — ACMG/AMP germline variant classification — with distinctive domain vocabulary (28 criteria codes, 5-tier verdict, gnomAD, ClinVar). Trigger phrases are unlikely to fire a different skill, giving minimal conflict risk.

5 / 5

Total

19

/

20

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository

mims-harvard/ToolUniverse

Path

plugin/skills/tooluniverse-acmg-variant-classification/SKILL.md

Reviewed

Table of Contents

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