aws-cost-optimizer

Comprehensive AWS cost analysis and optimization recommendations using AWS CLI and Cost Explorer

Quality

61%

Does it follow best practices?

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Securityby

Passed

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tessl review fix ./skills/antigravity-aws-cost-optimizer/SKILL.md

Quality

Content

65%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The content is highly actionable with executable AWS CLI commands and example prompts, but it is somewhat verbose, lacks validation checkpoints around its destructive quick-win steps, and keeps everything inline rather than splitting reference material into separate files.

Suggestions

Add explicit validation checkpoints to destructive quick-wins (e.g. 'Verify a volume is unattached and unowned before deletion; confirm with the user or --dry-run first') to lift workflow clarity above 3.

Move the bulk CLI command catalogue and/or checklist into references/ files (e.g. commands.md, checklist.md) and link to them one level deep to improve progressive disclosure.

Trim redundant sections (Example Prompts, Best Practices) that restate capabilities already shown in the command catalogue to reduce token load.

Dimension	Reasoning	Score
Conciseness	Mostly efficient with executable commands, but sections like the full CLI command catalogue, checklist, and example-prompts restate capability lists already covered and could be tightened; some over-explanation (e.g. 'Integration with Kiro CLI') adds tokens.	3 / 5
Actionability	Provides copy-paste-ready, fully executable AWS CLI commands with real flags and --query syntax covering the common cost and resource-analysis cases, plus concrete example prompts.	5 / 5
Workflow Clarity	The 4-step Optimization Workflow is sequenced, but destructive/batch quick-win steps ('Delete unattached EBS volumes', 'Release unused Elastic IPs') lack explicit verify-before-delete validation checkpoints, which per the rubric caps workflow_clarity at 3.	3 / 5
Progressive Disclosure	The body is well-sectioned but monolithic within SKILL.md (no references/ or scripts/ files exist despite the large command catalogue and checklist that could be split out), and there are no one-level-deep reference pointers, so structure is present but not optimally split.	3 / 5
	Total	14 / 20 Passed

Description

58%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description conveys a concrete AWS cost-optimization niche with named tools, but it lacks an explicit 'Use when...' trigger clause and uses a few generic phrases ('Comprehensive', 'recommendations'), capping completeness and trigger quality.

Suggestions

Add an explicit trigger clause, e.g. 'Use when analyzing AWS spending, finding wasted resources, or reducing cloud costs.'

Replace generic terms ('Comprehensive', 'recommendations') with concrete actions matching the body, e.g. 'Detect idle EC2 instances, unattached EBS volumes, and Reserved Instance opportunities.'

Include natural user synonyms such as 'AWS bill', 'wasted spend', or 'cloud waste' to improve trigger-term quality.

Dimension	Reasoning	Score
Specificity	Lists several concrete actions ('AWS cost analysis', 'optimization recommendations') tied to specific tools ('AWS CLI', 'Cost Explorer'), but 'Comprehensive ... recommendations' is mildly generic and coverage of the actual actions is narrower than the body implies.	4 / 5
Completeness	It gives a clear 'what' (cost analysis and optimization recommendations) but no explicit 'when' / 'Use when...' trigger clause, so per the rubric a missing trigger caps completeness at 3.	3 / 5
Trigger Term Quality	'AWS cost analysis', 'AWS CLI', 'Cost Explorer' are relevant but the description omits natural user phrases like 'reduce my AWS bill', 'find wasted spend', or 'cost optimization', and includes no synonyms.	3 / 5
Distinctiveness Conflict Risk	The AWS-cost niche is fairly distinct and unlikely to clash with unrelated skills, though it could overlap with a generic AWS skill; minor overlap risk keeps it just below 5.	4 / 5
	Total	14 / 20 Passed

Validation

93%

Warnings & errors only

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 15 / 16 Passed

Validation for skill structure

Criteria	Description	Result
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning

	Total	15 / 16 Passed

Repository: boisenoise/skills-collections
Path: skills/antigravity-aws-cost-optimizer/SKILL.md
Commit: 19c310e

Reviewed: about 19 hours ago

Table of Contents

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