Content
50%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is well-structured and gives some executable CLI commands, but it is over-long with redundant sections and its Python examples document a fictional API (scripts.soap_generator) that does not match the bundled scripts/main.py. It also fails to point readers to the existing reference files, leaving large detail inline.
Suggestions
Replace the Python examples that import from the nonexistent scripts.soap_generator with the real scripts/main.py API (generate, extract_entities, extract_vital_signs, detect_negation) so the code is copy-paste executable against the bundle.
Consolidate the overlapping trigger/scope sections (When to Use, When Not to Use, Input Validation, Required Inputs) and the overlapping output/error sections (Output Requirements, Output Contract, Response Template, Error Handling, Failure Handling) to cut redundancy and roughly halve the length.
Move the detailed NER, temporal-extraction, classification-rule, and export-format tables into the existing references/*.md files and link to them from SKILL.md so progressive disclosure is one level deep and navigable.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The ~410-line body is mostly efficient per-section but padded overall: redundant overlapping sections ("When to Use"/"When Not to Use"/"Input Validation"/"Required Inputs"; "Output Requirements"/"Output Contract"/"Response Template"; "Error Handling"/"Failure Handling") and conceptual explanations of NER, negation, and temporal extraction that an intelligent model largely already knows. Not a score of 3 because verbosity is not fully eliminated; not a 1 because individual sections are not padded with introductory fluff. | 2 / 3 |
Actionability | Provides some executable guidance ("python scripts/main.py --help" and the self-contained audit command run against the real main.py), but the bulk of the Python examples import "from scripts.soap_generator import SOAPNoteGenerator" — a module that does not exist in the bundle — and call methods (generate_from_transcript, extract_medical_entities, classify_soap_sections, extract_temporal_info, analyze_certainty, generate_soap_document) absent from scripts/main.py, whose real API is generate, generate_from_audio, extract_entities, extract_vital_signs, detect_negation. Not a 3 because the code is not copy-paste executable against the real bundle; not a 1 because the CLI commands and parameter tables do give some concrete, usable guidance. | 2 / 3 |
Workflow Clarity | The Workflow section gives a 5-step sequence with an explicit fallback path, and Quick Check/Audit-Ready Commands supply validation entry points, but the main workflow lacks an integrated validate→fix→retry feedback loop (validation appears only as a separate "Quick Validation" checklist), and the body itself admits transcript/audio paths are unimplemented. Not a 3 because checkpoints are not fully wired into the sequence with error-recovery loops; not a 1 because the steps are clearly sequenced and a fallback is stated. | 2 / 3 |
Progressive Disclosure | Bundle files exist (references/clinical_guidelines.md, medical_terminology.md, sample_soap_notes.md, scripts/main.py) but the body never signals or links any of them, and all detail (NER tables, temporal extraction, classification rules, export formats, output template) is inlined into SKILL.md rather than offloaded — matching the anchor for content that should be separate being inline plus references present but not clearly signaled. Not a 3 because references are neither linked nor one-level-deep navigable; not a 1 because the body is section-organized rather than a monolithic wall of text. | 2 / 3 |
Total | 8 / 12 Passed |