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 is well structured and concise with concrete commands and a useful error-handling table, but it stops short of executable code, lacks validation checkpoints for destructive steps, and ignores its own bundled reference files.
Suggestions
Add an explicit validation/dry-run checkpoint in the workflow (e.g., run cleanup scripts in dry-run, confirm savings, then apply) before destructive or batch operations.
Reference the bundle files from the body—link scripts/generate_cost_report.py and the asset templates under Output so the report-generation tooling is discoverable.
Provide at least one fully executable example command or code snippet (e.g., a complete 'aws ce get-cost-and-usage' invocation) to lift actionability from directional to copy-paste ready.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and operationally focused—Overview, Prerequisites with concrete IAM permissions, and a numbered procedure—without explaining concepts Claude already knows. | 3 / 3 |
Actionability | It cites concrete commands and thresholds ('aws ce get-cost-and-usage', '< 5% average CPU over 14 days', '50%, 80%, and 100%') but offers no executable code blocks and several steps are directional ('Generate Terraform/IaC changes', 'suggest downsizing'). | 2 / 3 |
Workflow Clarity | A clear 10-step sequence and an error-handling table give recovery guidance, but there are no explicit validate-then-proceed checkpoints for the destructive/batch operations (idle-resource cleanup, IaC changes), which caps this dimension at 2. | 2 / 3 |
Progressive Disclosure | The body is well sectioned but never signals the existing bundle files (scripts/generate_cost_report.py, asset templates), so content that should be one level deep is neither linked nor navigable. | 2 / 3 |
Total | 9 / 12 Passed |