Content
63%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 highly actionable with executable AWS CLI and boto3 code, a sensible phased workflow, and real safety guardrails for a destructive operation. Its main weaknesses are redundancy across the safety/best-practices/risk sections and the absence of any bundle structure — six full scripts are inlined where separate script files would ease navigation and token cost.
Suggestions
Move the cleanup scripts, savings calculator, Lambda function, and lifecycle policy template into a scripts/ or references/ bundle and reference them from SKILL.md to cut body length and improve progressive disclosure.
Consolidate 'Safety Checklist', 'Best Practices', and 'Risk Mitigation' into one section — dry-run first, snapshot before delete, notify owners, and document actions are each repeated 2-3 times.
Add concrete commands and an error-recovery loop (e.g., what to do when a delete fails or a resource turns out to be in use) to the Cleanup Workflow phases.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The code blocks themselves are lean and assume Claude's competence, but safety guidance is duplicated across 'Safety Checklist', 'Cleanup Workflow', 'Best Practices', and 'Risk Mitigation' (dry-run first, snapshot before delete, notify owners, document actions each appear 2-3 times). This is 'mostly efficient but includes some unnecessary explanation or could be tightened'; a 2 would require heavier padding or explanations of concepts Claude already knows, which are largely absent. | 3 / 5 |
Actionability | Concrete, mostly executable guidance throughout: aws CLI scripts for volumes, snapshots, and Elastic IPs; a boto3 savings calculator; an S3 lifecycle policy JSON; a deployable Lambda handler; and a CloudWatch alarm command. Minor gaps keep it below 5: the Organizations example assumes profile names like 'account-123456789012', 'my-bucket' is a placeholder, and the destructive delete commands are commented out (intentional dry-run, but not fully copy-paste ready for execution). | 4 / 5 |
Workflow Clarity | The 'Cleanup Workflow' gives a clear four-phase sequence (Discovery read-only, Validation, Execution dry-run-first, Verification) with an accompanying safety checklist, so the destructive-operation cap at 3 does not apply since validation and verification steps are present. It falls short of a 5 because the phases are high-level bullets without concrete commands and lack explicit error-recovery feedback loops (fix-and-retry). | 4 / 5 |
Progressive Disclosure | Section headers are clear and consistent, but the body inlines ~180 lines of full scripts (six bash/python blocks, a Lambda function, a lifecycle policy) with no references/, scripts/, or assets/ bundle at all — content that clearly belongs in separate script files sits inside SKILL.md. This matches 'Some structure but could be better organized; content that should be separate is inline'; a 2 would require missing or buried structure, which is not the case. | 3 / 5 |
Total | 14 / 20 Passed |