Content
68%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 content is highly actionable, with executable code spanning every capability and a clearly signaled one-level reference for detailed API docs. Its weaknesses are moderate redundancy between the When-to-Use list and capability sections, and the absence of validation checkpoints in the multi-step workflows.
Suggestions
Collapse the "When to Use This Skill" bullet list into the capability sections or trim it to remove duplication with Core Capabilities, improving conciseness.
Add explicit validation/verification checkpoints to the Common Workflows (e.g. confirm counts are integers before diversity, verify tree is rooted before phylogenetic metrics) to lift workflow clarity above 3.
Slim the SKILL.md toward a quick-start overview and move extended per-capability code into references/api_reference.md to strengthen progressive disclosure.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is API-focused with no concept over-explanation, but the "When to Use This Skill" bullet list duplicates the ten Core Capabilities sections, and the per-section intro sentences add trimmable padding. Above 2 because there is no severe verbosity or padding; below 4 because the redundancy is more than minor. | 3 / 5 |
Actionability | Provides copy-paste-ready, executable Python across all ten capabilities with real API calls and parameters (e.g. skbio.DNA.read, nj(distance_matrix), alpha_diversity('shannon', counts_matrix, ids=sample_ids), permanova(..., permutations=999)) plus an install command, covering the common cases comprehensively. | 5 / 5 |
Workflow Clarity | The Common Workflows section lists four clearly sequenced multi-step pipelines, but none include validation checkpoints or feedback loops, and several involve batch operations on tables/trees — the missing validation caps this at 3. Above 2 because the sequences are coherent and well-defined, not rough or gapped. | 3 / 5 |
Progressive Disclosure | Clear section structure (Overview, When to Use, Core Capabilities, Best Practices) with one clearly signaled one-level-deep reference to references/api_reference.md (verified to exist) for the bulk detailed API. Below 5 because the SKILL.md itself is fairly long (~430 lines) with substantial inline code that could be slimmed toward a quick-start, leaving minor organization gaps. | 4 / 5 |
Total | 15 / 20 Passed |