Content
77%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is a highly actionable, well-sequenced interpretation workflow with concrete tools, parameters, executable classification code, and strong error-recovery guidance. Its weaknesses are token efficiency (Phase 6 inlines the full ACMG algorithm that the referenced file is supposed to hold, plus editorial padding) and progressive disclosure (the five referenced detail files are absent from the bundle, leaving dangling pointers and an over-loaded overview).
Suggestions
Move the Bayesian point table, the classify_acmg code block, gene-specific BS1 thresholds, VCEP criteria, and predictor-weighting sections into ACMG_CLASSIFICATION.md, keeping only the point-system summary and a pointer in SKILL.md — this addresses both the conciseness and progressive-disclosure gaps.
Ship the five referenced files (ACMG_CLASSIFICATION.md, CODE_PATTERNS.md, CHECKLIST.md, EXAMPLES.md, TOOLS_REFERENCE.md) in the bundle's references/ directory — currently none exist, so every "See X" pointer (including the thresholds and code patterns the workflow depends on) is dangling.
Trim editorial commentary in Phase 6 (e.g. "This is one of the most challenging scenarios in variant interpretation", "This system handles conflicting evidence naturally") and the openended explanatory sentences around it to tighten the body without losing operational detail.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient operational content (tool parameters, fallbacks, thresholds), but Phase 6 inlines a ~65-line classify_acmg function, the Bayesian point table, and gene-specific BS1 thresholds while simultaneously pointing to ACMG_CLASSIFICATION.md "for the complete algorithm", and editorial asides pad the text ("This is one of the most challenging scenarios in variant interpretation", "This system handles conflicting evidence naturally..."). Not 4: the duplication and padding exceed minor instances of over-explanation. | 3 / 5 |
Actionability | Fully executable and copy-paste ready: the classify_acmg function runs as-is with a worked PALB2 c.2816T>G example, tools are documented with concrete parameters and return shapes (e.g. VariantValidator's genome_build/variant_description, ClinGenAllele coordinate gotcha), plus a gnomAD two-step recipe, tool-failure fallback chains, output report template, file naming convention, and quantified minimums. Matches anchor 5; not 4 because common cases are covered without gaps. | 5 / 5 |
Workflow Clarity | Clear six-phase sequence with an overview map, conditional phases (2.5 non-coding only, 4 VUS/novel), the "LOOK UP, DON'T GUESS" gate, a Phase 2.9 short-circuit checkpoint, explicit tool-failure feedback loops (e.g. "ClinVar_search_variants returns 0 results: Use MyVariant_query_variants"), and a pre-delivery CHECKLIST.md plus quantified minimums as verification. Anchor 5 (explicit validation steps, error-recovery loops, checklist); not 4 since checkpoints are explicit rather than implicit. | 5 / 5 |
Progressive Disclosure | References are clearly signaled and one level deep (inline "See ACMG_CLASSIFICATION.md for thresholds" pointers plus a final References section), but ~100 lines of Phase 6 detail that belong in ACMG_CLASSIFICATION.md are inlined in SKILL.md, and none of the five referenced files (ACMG_CLASSIFICATION.md, CODE_PATTERNS.md, CHECKLIST.md, EXAMPLES.md, TOOLS_REFERENCE.md) exist in the provided bundle — no references/ directory is present, so every "See X" link is dangling. Anchor 3 (content that should be separate is inline); not 4 because of the inline bulk and unverifiable references, not 2 because structure and signaling are genuinely present. | 3 / 5 |
Total | 16 / 20 Passed |