Content
100%Weight 40%Scale 1-3Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The content is lean yet highly actionable, with executable examples, an explicit error-recovery feedback loop, and a clean progressive-disclosure structure pointing to verified reference files. It exemplifies a well-built skill body.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and lean — it assumes Claude's competence (no explanation of GitLab, ClickHouse, or merge requests) and every line carries actionable guidance with no concept padding. | 3 / 3 |
Actionability | Provides a complete copy-paste-ready `json orbit-query` request body plus the `glab orbit remote query /tmp/q.json` command, concrete operator lists, and specific `--jq` examples — fully executable rather than pseudocode. | 3 / 3 |
Workflow Clarity | The query workflow is clearly sequenced (Discovery → Running a query → Common pitfalls → Reporting) with an explicit iteration-budget feedback loop that counts HTTP 400 errors and instructs a 'give up loudly' recovery when the budget is exceeded. | 3 / 3 |
Progressive Disclosure | The body is an overview that signals one-level-deep references (all 9 referenced files verified to exist) via a well-organized References table, with detail appropriately split into query_language.md, recipes.md, troubleshooting.md, and others. | 3 / 3 |
Total | 12 / 12 Passed |