Content
86%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 clean, token-efficient CLI reference with well-organized sections and executable commands. It could be improved by richer examples showing flag usage and by documenting the alias/variant-resolution actions mentioned in the description.
Suggestions
Replace the placeholder example `omniroute models [provider]` with a real invocation using flags and expected output, e.g. `omniroute models openai --search vision --json`.
Document the actions the description promises but the body omits — listing aliases and resolving model name variants — as concrete subcommands or flag examples.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean with no padding or over-explanation — install command, version check, subcommand signature, flags, and a single example — every token earns its place and Claude's competence is assumed. | 5 / 5 |
Actionability | Provides concrete executable commands (`npm install -g omniroute`, `omniroute models [provider]`) and flags (`--search`, `--json`), but the example merely restates the heading without showing flag usage or sample output, leaving a minor gap. | 4 / 5 |
Workflow Clarity | For this simple single-purpose CLI skill the install-then-run sequence is clear and unambiguous, but only the `models` subcommand is shown while the description references alias listing and variant resolution that are not demonstrated. | 4 / 5 |
Progressive Disclosure | Under 50 lines with no external references needed; content is well-organized into Overview, Quick install, and Subcommands sections, meeting the simple-skill exception for a top score. | 5 / 5 |
Total | 18 / 20 Passed |