Content
92%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 well-engineered skill body: fully executable commands, a dry-run/validate-gated workflow, and exemplary progressive disclosure via conditionally-triggered references. The sole weakness is moderate redundancy in the profile examples and a wordy handoff paragraph.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is command- and contract-dominated with no explanations of concepts Claude already knows, but the second OrcaSlicer JSON example repeats the machine/filament blocks of the first (~15 duplicated lines) and the review-pane handoff paragraph is wordy, giving more than minor trimming opportunities. | 4 / 5 |
Actionability | Every workflow step has a copy-paste-ready command with concrete flags (discover, inspect --json, slice --dry-run/--execute, validate), the wrapper profile is given as complete executable JSON, and edge cases are handled concretely (brew install --cask orcaslicer, trimesh fallback, explicit accepted/rejected extensions). | 5 / 5 |
Workflow Clarity | The numbered 1-7 sequence has explicit checkpoints: dry-run before execution (step 5), an explicit execution gate ('Execute only after the dry-run command and profile are appropriate'), and post-slice validation (step 7), with failure interpretation delegated to a clearly signaled reference. | 5 / 5 |
Progressive Disclosure | SKILL.md is a clean overview; both referenced files (references/slicer-backends.md, references/gcode-validation.md) exist, are one level deep, and are signaled with conditional read triggers tied to concrete needs, and the helper script (scripts/gcode_tool.py) is present. | 5 / 5 |
Total | 19 / 20 Passed |