Content
65%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The skill body is a concise, auto-generated CLI reference that is token-efficient and well-structured. It is weakened by examples that omit flag values and by the absence of validation/verification guidance for batch operations.
Suggestions
Show at least one complete example per subcommand with real flag values (e.g. `omniroute batches create --endpoint X --completion-window 24h --metadata job=test`).
Add verification guidance for batch workflows — e.g. run `batches get`/`batches errors` after `submit`/`wait` to confirm success before proceeding.
Consider linking to an external reference (e.g. API reference or examples file) to split the subcommand catalog out of the overview.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is a lean, templated CLI reference with no conceptual padding; it assumes Claude's competence and every command/flag earns its place. | 3 / 3 |
Actionability | Commands are concrete and copy-pasteable, but examples omit flag values (e.g. `omniroute batches create` and `omniroute batches submit` show no arguments), leaving guidance incomplete per the 'missing key details' anchor. | 2 / 3 |
Workflow Clarity | Subcommands are listed in a clear sequence, but batch operations (create/submit/wait/output/errors) lack validation or verification checkpoints, which caps workflow_clarity at 2 per the feedback-loop scoring note. | 2 / 3 |
Progressive Disclosure | Sections are well organized and no external bundle files exist, but there are no one-level-deep references or navigation pointers to detail; structure is present but could be better signaled for an API surface this size. | 2 / 3 |
Total | 9 / 12 Passed |