Content
93%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.
A tight, executable skill body that assumes competence and provides concrete commands with status-based validation. The workflow sequencing and diff-inspection checkpoint are strong; only the explicit error-recovery loop is lightly specified.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and assumes Claude's competence: no explanation of what Antigravity is or how CLIs work, and every line provides actionable guidance with no padding. | 5 / 5 |
Actionability | It gives a fully executable command ('agy -p "<prompt>" --output-format json'), an availability check ('command -v agy'), and concrete handling of the JSON 'status'/'error' fields including the unparseable-output case. | 5 / 5 |
Workflow Clarity | A clear numbered Run sequence with validation checkpoints (status-field check, treat error/unparseable as failure, inspect the diff afterward), but the error-recovery feedback loop is less explicit than a full validate-fix-retry cycle. | 4 / 5 |
Progressive Disclosure | A simple, single-purpose skill under 50 lines with well-organized sections ('Run', 'Authentication And Permissions') and no need for external bundle files, matching the simple-skill exception. | 5 / 5 |
Total | 19 / 20 Passed |