Content
72%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.
A concise, highly actionable body with runnable examples, but it lacks a sequenced workflow with checkpoints and fails to signpost the bundled reference file from the overview.
Suggestions
Add a one-level link to the bundled reference, e.g., 'For full API coverage (substitution matrices, AlignIO formats, external tools) see references/alignment.md', so the reference is discoverable from the overview.
Tighten the 'Implementation Details' section by removing prose that merely restates what the executable example already demonstrates.
If alignment runs are meant to be driven via scripts, add a short sequenced workflow with an explicit validation checkpoint (e.g., parse -> compute -> verify conservation before writing output).
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly lean with runnable code and no over-explanation of Biopython basics, but the 'Implementation Details' section restates behavior already shown in the code and a few comments are redundant. | 4 / 5 |
Actionability | The example is a fully executable, copy-paste-ready main() covering the common cases (global protein alignment, local DNA best-fragment extraction, MSA column conservation) with concrete APIs. | 5 / 5 |
Workflow Clarity | The skill is example-driven with no explicit multi-step sequenced workflow or validation checkpoints; the 'Operational conventions' section gives vague recommendations without a validate-then-proceed loop. | 3 / 5 |
Progressive Disclosure | Sections are reasonably organized and bundle files exist (references/alignment.md, scripts/msa_conservation.py), but the body never links to references/alignment.md, leaving a one-level reference orphaned and un-signaled. | 3 / 5 |
Total | 15 / 20 Passed |