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aws-cost-optimizer

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

69

1.17x
Quality

63%

Does it follow best practices?

Impact

94%

1.17x

Average score across 3 eval scenarios

SecuritybySnyk

Passed

No findings from the security scan

Fix and improve this skill with Tessl

tessl review fix ./plugins/AI-Agents-Safe-Coding-Skills-claude/skills/aws-cost-optimizer/SKILL.md

The canonical home for this skill is aws-cost-optimizer in boisenoise/skills-collections

SKILL.md
Quality
Evals
Security

Quality

Content

57%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's strength is its concrete, executable AWS CLI command examples covering cost analysis, waste detection, and rightsizing. Weaknesses are redundant capability/checklist/best-practice list sections, destructive Quick Wins steps without integrated validation checkpoints, and a monolithic single-file structure that should offload the command reference and prompts to bundle files.

Suggestions

Integrate validation checkpoints into the Optimization Workflow (e.g., 'Verify CPU utilization over 7-14 days and confirm no recent access before deleting any resource; use --dry-run first'), since the destructive Quick Wins currently rely on a separate Safety Notes section.

Consolidate the overlapping Core Capabilities, Cost Optimization Checklist, and Best Practices sections into one list to remove redundancy and cut token usage.

Move the AWS CLI command reference and Example Prompts into references/ files (e.g., references/cli-commands.md, references/examples.md) and link them from SKILL.md to improve progressive disclosure.

Add an executable command or short script for calculating potential savings (e.g., summing unattached volume sizes x GB-month price) to back the savings-calculation claims.

DimensionReasoningScore

Conciseness

The CLI command blocks are lean and free of concept over-explanation, but four sections (Core Capabilities, Optimization Workflow, Cost Optimization Checklist, Best Practices) restate the same items, and Example Prompts plus the Kiro CLI integration section add little value. This matches anchor 3 (mostly efficient but could be tightened) rather than 2, since no space is spent explaining concepts Claude already knows.

3 / 5

Actionability

The body provides concrete, copy-paste-ready AWS CLI commands with working $(date ...) substitutions for cost queries, unused-resource detection, and rightsizing. Minor gaps keep it at anchor 4 rather than 5: instance-specific placeholders (i-xxxxx, mydb), and no executable command for the claimed 'Calculate potential savings with specific actions' capability.

4 / 5

Workflow Clarity

The 4-phase Optimization Workflow (Baseline Assessment, Quick Wins, Strategic Optimization, Ongoing Monitoring) is clearly sequenced, but Quick Wins involves destructive batch operations (deleting volumes, terminating instances) with verification only mentioned in a separate Safety Notes section rather than as explicit validation checkpoints in the workflow. Per the judging guidelines, destructive/batch operations without validation steps cap workflow clarity at 3.

3 / 5

Progressive Disclosure

The body has clear section headers and good navigation, but it is a monolithic ~185-line file with no bundle files; the ~60-line AWS CLI command reference, the checklist, and the example prompts would be better split into one-level-deep reference files. This fits anchor 3 (some structure, but content that should be separate is inline).

3 / 5

Total

13

/

20

Passed

Description

53%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 communicates a clear niche and tooling but is generic: it has no 'Use when...' trigger clause, misses natural user phrasing like 'reduce my AWS bill' or 'cloud waste', and leans on the buzzword 'Comprehensive'. Adding a trigger clause and more specific capability keywords would lift all dimensions.

Suggestions

Append an explicit trigger clause, e.g. 'Use when the user asks about AWS spending, reducing their AWS bill, cloud costs, or cost optimization opportunities.'

Replace the buzzword 'Comprehensive' with 1-2 specific capabilities, e.g. 'Detect idle EC2 instances, unattached EBS volumes, and Reserved Instance savings opportunities using AWS CLI and Cost Explorer.'

Include natural user phrasings/synonyms such as 'AWS bill', 'cloud waste', 'spending patterns', and 'cost reduction' to improve trigger-term coverage.

DimensionReasoningScore

Specificity

The description names the domain ("AWS cost analysis and optimization recommendations") and references concrete tooling ("using AWS CLI and Cost Explorer"), but the actions themselves remain generic and 'Comprehensive' is buzzword padding. It matches anchor 3 (names domain and 1-2 concrete actions, not comprehensive) rather than 4, which requires several specific actions like detecting idle instances or unattached volumes.

3 / 5

Completeness

The 'what' is clear (analyze AWS costs, produce optimization recommendations), but there is no 'Use when...' clause or equivalent trigger guidance, which caps completeness at 3 per the judging guidelines. Not 4 because 'when' is entirely absent rather than merely under-specified.

3 / 5

Trigger Term Quality

Relevant keywords are present ("AWS cost", "cost analysis", "optimization", "Cost Explorer", "AWS CLI"), but natural user phrases such as "reduce my AWS bill", "AWS spending", "cloud waste", or "save on AWS costs" are missing. This fits anchor 3 (some relevant keywords but missing common variations or synonyms).

3 / 5

Distinctiveness Conflict Risk

"AWS cost analysis and optimization" carves out a fairly distinct niche with minimal conflict risk against unrelated skills, matching anchor 4 (mostly distinct, minor overlap risk). Not 5 because the description lacks distinct trigger phrases and could overlap slightly with general AWS or cloud-management skills.

4 / 5

Total

13

/

20

Passed

Validation

93%

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

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository
administrakt0r/AI-Agents-Safe-Coding-Skills
Reviewed

Table of Contents

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