Content
65%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 is actionable with strong executable examples and a clean reference structure, but it is held back by redundant capability lists, workflow recipes lacking validation checkpoints, and reference files that are placeholders rather than real detailed content.
Suggestions
Replace the placeholder reference files with actual module detail, or remove the per-module 'See' links until the content exists, so progressive disclosure does not dead-end.
Collapse the overlapping 'When to Use This Skill' and 'Core Capabilities' bullet lists into a single concise capability map to tighten conciseness.
Add explicit validation checkpoints to the write-oriented workflows (e.g., verify a FITS file round-trips with fits.open before treating it as complete).
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly efficient lists and code rather than padded prose, but the 'When to Use This Skill' list and the per-module 'Key operations' bullet lists overlap substantially and could be consolidated. | 3 / 5 |
Actionability | The Quick Start and Common Workflows sections provide fully executable, copy-paste-ready Python covering coordinate conversion, FITS reading, cosmology, and catalog cross-matching across the common cases. | 5 / 5 |
Workflow Clarity | Workflows are presented as monolithic code recipes with no explicit sequencing or validation checkpoints; for operations like FITS writing there is no validate-then-proceed feedback loop, so checkpoints are only implicit. | 3 / 5 |
Progressive Disclosure | Structure and navigation are good (clear 'See: references/X.md' links, one level deep, a Reference Files index, and the referenced files exist), but every reference file is an empty placeholder that redirects upstream, so the promised detailed content is absent and disclosure dead-ends. | 3 / 5 |
Total | 14 / 20 Passed |