Content
50%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 contains genuinely useful, executable guidance (CLI params, input formats, a working script) but is weighed down by heavy redundancy, contradictory dependency statements, and large swaths of generic process boilerplate. Consolidating and trimming would materially improve it.
Suggestions
Merge the duplicate dependency/prerequisite sections into one accurate block (resolve the Python 3.8 vs 3.10+ and pandas/plotly version contradictions) and remove the contradictory 'No additional Python packages required'.
Delete generic boilerplate sections that add no skill-specific knowledge (Risk Assessment, Security Checklist, Evaluation Criteria, Lifecycle Status, Response Template) or move them to a reference file.
Replace the placeholder 'Audit validation sample with explicit symptoms, history...' example with a real metagenomic invocation, and add a verify-output checkpoint to the main workflow.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The ~272-line body carries substantial redundancy and generic boilerplate — duplicate/contradictory dependency sections (3.10+ vs 3.8+, 'Prerequisites: No additional Python packages required'), cross-references like 'See ## Usage above', and generic process sections (Risk Assessment, Security Checklist, Evaluation Criteria, Lifecycle Status, Response Template) that add no skill-specific knowledge. | 2 / 5 |
Actionability | It provides executable commands (py_compile, --help, -i input.tsv -o krona_chart.html), a concrete parameter table, and input-format examples backed by a real argparse CLI in scripts/main.py; the main gap is a copy-pasted placeholder example invocation mentioning 'symptoms, history, assessment'. | 4 / 5 |
Workflow Clarity | A 5-step workflow and a run plan exist, but they describe generic process hygiene rather than the actual technical sequence (parse report -> build taxonomy tree -> render sunburst -> write HTML), and validation checkpoints are only implicit (a separate py_compile smoke check, no verify-output step in the main flow). | 3 / 5 |
Progressive Disclosure | Structure exists with a real scripts/main.py and references/ directory, but almost all content is inlined into one large SKILL.md, the single reference file runtime_checklist.md is not linked by name, and requirements.txt is referenced but absent from the bundle. | 3 / 5 |
Total | 12 / 20 Passed |