Content
67%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 concrete commands and a useful troubleshooting table, organized into a clear stepwise workflow. Its main weakness is redundancy from restating the diagnostic sequence multiple times, which lightly hurts conciseness and organization.
Suggestions
Collapse the 'Complete Diagnostic Sequence' and the Python example into a single worked example to remove the triplicated diagnostic steps.
Add explicit validation/checkpoint language between steps (e.g. 'If stderr is empty, proceed to Step 2') to tighten the feedback loop.
Trim restating sentences like 'This ensures error messages are captured...' since the code already shows the intent.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly efficient with tight code blocks, but it repeats the same diagnostic sequence three times (workflow steps, 'Complete Diagnostic Sequence', and the Python example) and includes a few restating sentences that could be trimmed. | 3 / 5 |
Actionability | It provides concrete, copy-paste-ready run_shell commands for each step plus a symptom/cause/solution table; minor gaps come from templated placeholders like 'some-command' and 'relevant_var'. | 4 / 5 |
Workflow Clarity | Steps 1-6 are clearly sequenced and the causes/solutions table supplies an implicit feedback loop, though explicit validation checkpoints between steps are only implied rather than stated. | 4 / 5 |
Progressive Disclosure | The skill is self-contained with no bundle files and is organized into clear, well-labeled sections; the only organization gap is the duplicated diagnostic content that could be consolidated. | 4 / 5 |
Total | 15 / 20 Passed |