Content
45%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 mixes genuinely useful domain documentation (Parameters, CLI usage, capability tables) with heavy template boilerplate, duplicated process sections, and broken cross-references ('See ## Usage above' points to a section that appears later). Most critically, the References and Scripts sections promise 14 bundle files of which only 2 exist, so progressive disclosure is largely fictional and the Python examples cannot run.
Suggestions
Fix the bundle mismatch: either add the 8 scripts and 6 reference files the body documents, or rewrite the Scripts/References sections to reflect the actual bundle (main.py, guidelines.md) and remove the non-runnable Python API examples.
Remove template boilerplate and duplication — collapse 'When to Use'/'Key Features'/'Implementation Details'/'Output Requirements' into one concise section, and delete the repeated truncated description.
Repair navigation: the 'Example Usage' and 'Implementation Details' sections say 'See ## Usage/## Workflow above' but those sections appear later in the file; reorder or correct these cross-references and remove the hardcoded '20260318/scientific-skills/...' path.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The ~360-line body contains substantial template boilerplate and duplication: the truncated description is repeated verbatim in 'When to Use' and 'Key Features'; 'Key Features'/'Implementation Details'/'Overview'/'Workflow'/'Output Requirements' restate the same generic process language multiple times ('validate the request, choose the packaged workflow, produce a bounded deliverable'). This matches 'noticeably verbose; several unnecessary explanations or padded sections'. Not 1 because there is genuinely useful domain content (Parameters table, capability tables, pitfalls) that is not merely explaining things Claude already knows. | 2 / 5 |
Actionability | The CLI guidance is concrete and executable (`python scripts/main.py --region thorax --difficulty advanced --count 10 --output quiz.json`, a full Parameters table, py_compile checks), but the Python API examples import modules that do not exist in the bundle (`scripts.quiz_generator`, `scripts.adaptive`) and are internally inconsistent with the body's own Scripts listing (`adaptive_engine.py`). The Example Usage section also embeds a non-portable hardcoded path. So guidance is only partly executable — matching 'some concrete guidance but incomplete; missing key details'. Not 4 because a large fraction of the documented capability surface (7 of 8 listed scripts) cannot actually be run. | 3 / 5 |
Workflow Clarity | There is a clear sequence (confirm inputs → validate scope → run packaged script → review output → fallback on failure) with explicit checkpoints: 'Quick Check' runs py_compile before deeper execution, and Error Handling specifies reporting the failure point and a manual fallback — a reasonable validate/recover loop. This fits 'clear sequence with most checkpoints present; minor validation gaps'. Not 5 because the checkpoints are generic template language duplicated across multiple sections (Workflow, run plan, Implementation Details) rather than one tight, operation-specific procedure. | 4 / 5 |
Progressive Disclosure | Scored against the actual bundle: the References section lists 6 files (netter_atlas_correlation.md, terminologia_anatomica.md, usmle_content_outline.md, clinical_correlations.md, image_sources.md, difficulty_calibration.md) and the Scripts section lists 8, but the bundle contains only references/guidelines.md — which the body never mentions — and scripts/main.py. Most referenced paths are dangling, so navigation actively misleads, and large content blocks (quality checklists, pitfalls, capability tables) are inlined that belong in the claimed reference files. This matches 'minimal structure; content that clearly belongs in separate files is inlined'. Not 3 because the problem is not weak signaling of real references — it is that the reference map is mostly fictional. | 2 / 5 |
Total | 11 / 20 Passed |