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amazon-aurora-mysql

Amazon Aurora MySQL — creates, modifies, and advises on Aurora MySQL clusters specifically (MySQL-compatible engine, Aurora serverless, parallel query). Trigger for Aurora MySQL cluster operations, ACU sizing, I/O-Optimized storage, commitment pricing, or MySQL upgrade planning. Aurora MySQL uses full (VPC-based) configuration — express configuration is PostgreSQL-only. For Aurora PostgreSQL, use amazon-aurora-postgresql instead. Contains safety guardrails and response templates that override defaults.

76

Quality

96%

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SecuritybySnyk

High

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SKILL.md
Quality
Evals
Security

Quality

Content

92%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 body is well-structured: an explicit routing/loading procedure, concrete tiered safety guardrails with executable commands, copy-paste-ready scripts, and a clean one-level-deep reference structure. Minor conciseness trim available but no structural weaknesses.

DimensionReasoningScore

Conciseness

Mostly lean and operational — the operating procedure, guardrail tiers, and scripts table all assume Claude's competence with minimal padding. A few explanatory passages (e.g. the long public-access anti-pattern paragraph) could be trimmed, keeping it just below a 5.

4 / 5

Actionability

Concrete executable guidance throughout: real `aws rds ...` operations mapped to tiers, exact `--tags Key=...,Value=...` syntax, and three scripts with copy-paste-ready `python3 scripts/...` commands and documented flags.

5 / 5

Workflow Clarity

A numbered 5-step operating procedure with explicit ordering, plus a destructive/batch validation cap is satisfied: mutations are classified into tiers, require explicit user confirmation, and the script-failure feedback loop ('show the error and suggest a fix before retrying') provides error recovery.

5 / 5

Progressive Disclosure

SKILL.md is an overview/registry with one-level-deep references: each sub-skill loads only its own `references/{id}-instructions.md` (verified present), scripts live in `scripts/`, and the registry table clearly signals navigation — no nested reference chains.

5 / 5

Total

19

/

20

Passed

Description

100%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 is strong across all dimensions: concrete actions, natural trigger terms, clear what/when guidance, and explicit conflict boundaries against the sibling PostgreSQL skill. No meaningful gaps.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — 'creates, modifies, and advises on Aurora MySQL clusters', 'ACU sizing, I/O-Optimized storage, commitment pricing, MySQL upgrade planning' — with comprehensive domain coverage.

5 / 5

Completeness

Explicitly answers 'what' (creates, modifies, advises) and 'when' (a dedicated 'Trigger for...' clause with concrete trigger phrases) with concrete guidance.

5 / 5

Trigger Term Quality

Includes natural phrases users would say — 'ACU sizing', 'I/O-Optimized storage', 'commitment pricing', 'MySQL upgrade planning' — plus synonyms like 'cluster operations' and 'Aurora serverless'.

5 / 5

Distinctiveness Conflict Risk

Scoped tightly to Aurora MySQL with explicit boundary guidance ('For Aurora PostgreSQL, use amazon-aurora-postgresql instead', 'express configuration is PostgreSQL-only'), minimizing conflict risk.

5 / 5

Total

20

/

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.

Validation15 / 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
aws/agent-toolkit-for-aws
Reviewed

Table of Contents

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