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amazon-aurora-postgresql

Amazon Aurora PostgreSQL — creates, modifies, and advises on Aurora PostgreSQL clusters specifically (PostgreSQL-compatible engine, Aurora serverless, express configuration, pgvector, Babelfish). Trigger for Aurora PostgreSQL cluster operations, express-configuration quick-start, ACU sizing, I/O-Optimized storage, commitment pricing, or PostgreSQL upgrade planning. For Aurora MySQL, use amazon-aurora-mysql instead. Contains safety guardrails, express-first routing, and response templates that override defaults.

74

Quality

92%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

85%

Reviews 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 concrete commands, a well-sequenced workflow, validation checkpoints, and a well-organized reference bundle. Its only weakness is conciseness: the safety-guardrail alternatives block and repeated IAM-auth statements add length that could be consolidated.

Suggestions

Consolidate the repeated IAM-only-auth statements (currently in the registry, Tier 3 guardrails, the master-password alternative, and credential-safety rule) into a single authoritative statement to remove redundancy.

Tighten the Tier-3 'Paragraph 2 — alternative' list into a compact table (action → alternative) rather than full quoted sentences, cutting tokens without losing the refusal-with-alternative requirement.

Consider moving the full per-action alternative phrasing into a reference file (e.g. references/safety-alternatives.md) and summarizing the two-paragraph format inline, keeping SKILL.md as a leaner overview.

DimensionReasoningScore

Conciseness

The body is mostly lean and operational (no concept primers Claude already knows), but the Tier-3 block-quote alternatives list is long and the IAM-only-auth point is repeated across several sections (lines 34, 89, 106, 127), so it could be tightened. It sits at 'mostly efficient but could be tightened' rather than 'every token earns its place'.

2 / 3

Actionability

Provides copy-paste-ready commands and specifics throughout: `create-db-cluster --with-express-configuration`, `aws rds generate-db-auth-token`, exact `--tags Key=...,Value=...` format, and full script invocations with flags, matching the 'fully executable; copy-paste ready' anchor.

3 / 3

Workflow Clarity

A clear numbered operating procedure (Route → Load → Analyze → Mutate → Present) with explicit checkpoints: confirmation-before-mutation, the two-paragraph refusal format, and 'if a script or MCP/CLI call fails, show the error and suggest a fix before retrying' — a feedback loop for database operations, matching the 'clear sequence with explicit validation steps' anchor.

3 / 3

Progressive Disclosure

SKILL.md is an overview/registry pointing to per-domain references/{id}-instructions.md, which branch to supporting files (constraints, use-cases, mechanics, worked-examples) — all verified to exist on disk. Navigation is well-signaled via the registry table and an explicit Load step that announces paths, fitting 'clear overview with well-signaled references; content appropriately split'.

3 / 3

Total

11

/

12

Passed

Description

100%

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 concise, specific, and complete: it states concrete capabilities, gives explicit trigger guidance, and clearly distinguishes Aurora PostgreSQL from Aurora MySQL. It uses third-person voice throughout, so no voice penalty applies.

DimensionReasoningScore

Specificity

Lists multiple concrete actions ("creates, modifies, and advises on Aurora PostgreSQL clusters") plus specific domains (express configuration, ACU sizing, I/O-Optimized storage, commitment pricing, upgrade planning, pgvector, Babelfish), matching the 'multiple specific concrete actions' anchor.

3 / 3

Completeness

Explicitly answers both what ("creates, modifies, and advises on Aurora PostgreSQL clusters") and when ("Trigger for Aurora PostgreSQL cluster operations, express-configuration quick-start, ACU sizing..."), matching the 'clearly answers both what AND when with explicit triggers' anchor.

3 / 3

Trigger Term Quality

Covers natural terms users would say ("create a cluster", "ACU sizing", "I/O-Optimized", "commitment pricing", "upgrade planning", "express-configuration quick-start") with good variation, fitting the 'good coverage of natural terms' anchor.

3 / 3

Distinctiveness Conflict Risk

Niche is clearly scoped to Aurora PostgreSQL specifically and explicitly disambiguates the sibling skill ("For Aurora MySQL, use amazon-aurora-mysql instead"), giving distinct triggers unlikely to conflict.

3 / 3

Total

12

/

12

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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