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.
The body is a well-structured, actionable playbook: a tight multi-step workflow with validation checkpoints, a concrete scoring rubric and report template, and clean one-level-deep progressive disclosure to per-OS reference files. Only minor motivational framing keeps conciseness from a perfect score.
Suggestions
Trim the flavor text in 'What this skill does' and the safety-contract intro (e.g. 'the way a good technician would...', 'This is the part that makes users trust the skill') to tighten conciseness without losing substance.
Consider making the post-cleanup re-check a mandated validation step rather than 'a nice confirmation' to strengthen the feedback loop for batch/destructive operations.
Add a one-line note clarifying how to handle a platform the OS-detection step cannot identify (neither macOS, Windows, nor Linux) to close a small gap in workflow coverage.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Largely efficient and substantive — scoring rubric, report template, and recommendation rules all earn their tokens — with only minor color that could be trimmed such as 'the way a good technician would: look first, explain plainly, fix only with permission' and 'This is the part that makes users trust the skill, so honor it strictly'. | 4 / 5 |
Actionability | Provides copy-paste-ready guidance: an exact chat report template, a concrete scoring table with numeric thresholds, OS-detection commands, and specific recommendation mappings, with executable collection and cleanup scripts delegated to the platform reference files. | 5 / 5 |
Workflow Clarity | Five clearly sequenced steps (detect OS → collect → score → report → suggest cleanups) with explicit validation checkpoints: the read-only safety contract, per-command error tolerance ('If a single command errors, continue'), and an approval gate before any cleanup with a suggested post-cleanup re-check. | 5 / 5 |
Progressive Disclosure | SKILL.md is a clear overview that splits platform-specific commands into three one-level-deep reference files (references/macos.md, windows.md, linux.md), each real and explicitly signaled with 'Read only the one that matches', giving easy navigation with no nested-reference chaining. | 5 / 5 |
Total | 19 / 20 Passed |