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multi-cloud-architecture

Decision framework and patterns for architecting applications across AWS, Azure, and GCP.

Quality

56%

Does it follow best practices?

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SecuritybySnyk

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tessl review fix ./plugins/AI-Agents-Safe-Coding-Skills-claude/skills/multi-cloud-architecture/SKILL.md

The canonical home for this skill is multi-cloud-architecture in administrakt0r/AI-Agents-Safe-Coding-Skills

SKILL.md
Quality
Evals
Security

Quality

Content

35%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 a well-organized reference-style overview, but it is mostly descriptive rather than instructive: it restates generic cloud knowledge Claude already has, offers no executable guidance or concrete decision procedure, and cites reference files that do not exist in the bundle. The migration section is the strongest part, with a clear phased sequence.

Suggestions

Create the referenced files (references/service-comparison.md, references/multi-cloud-patterns.md) or remove the citations, and fix the inconsistent `resources/implementation-playbook.md` path — currently every reference in the body is dangling.

Replace the generic Best Practices and Cost Optimization sections with non-obvious, skill-specific content (e.g., concrete decision criteria for choosing between providers, actual pricing trade-offs) or move them into a reference file.

Rewrite the Instructions section as a concrete decision workflow — how to gather requirements, map them to the comparison tables, evaluate patterns, and validate the chosen architecture — instead of 'Apply relevant best practices and validate outcomes'.

DimensionReasoningScore

Conciseness

Large portions restate knowledge Claude already has: generic best practices ("Use infrastructure as code", "Train teams on multiple clouds"), generic cost strategies ("Right-size resources", "Leverage spot/preemptible instances"), and well-known service mappings (EC2/AKS/GKE, Kubernetes-as-abstraction). This matches 'noticeably verbose; several unnecessary explanations or padded sections' — the tables are compact, but multiple sections add little beyond Claude's existing knowledge, so it does not fall to 1's tutorial-style padding.

2 / 5

Actionability

The Instructions section is placeholder-vague ("Clarify goals, constraints, and required inputs", "Apply relevant best practices and validate outcomes") and there are no commands, code, decision procedures, or executable examples anywhere. It escapes score 1 only because some concrete specifics exist — named technologies ("Kubernetes for compute", "S3-compatible storage (MinIO)", "Terraform") and a phased migration sequence — but these are high-level hints missing the specific steps to execute.

2 / 5

Workflow Clarity

The Migration Strategy presents a clear four-phase sequence (Assessment, Pilot, Migration, Optimization) with implicit checkpoints ("Test thoroughly", "Monitor performance", "Validate functionality"), matching 'steps listed but validation gaps; checkpoints missing or implicit'. It is not 4 because the skill's own operating workflow — how to apply the decision framework to a user's request — is left at 'Apply relevant best practices', with no explicit validation steps for architecture decisions.

3 / 5

Progressive Disclosure

References are clearly signaled at point of use ("See `references/service-comparison.md` for complete comparison") and summarized in a Reference Files section, but the actual bundle contains no reference files — all three cited paths (`references/service-comparison.md`, `references/multi-cloud-patterns.md`, and the inconsistently-named `resources/implementation-playbook.md`) are dangling, and comparison content that the references say lives elsewhere is inlined. Good signaling with broken structure fits 'some structure but could be better organized' rather than 4's 'minor organization gaps'.

3 / 5

Total

10

/

20

Passed

Description

61%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.

A clear, concise statement of what the skill is, scoped to a distinct multi-cloud domain, but it entirely lacks any 'when to use' trigger guidance and under-utilizes natural keywords like 'multi-cloud'. Its action coverage is thin relative to the skill's actual breadth (migration, service selection, cost optimization).

Suggestions

Add an explicit trigger clause, e.g. 'Use when designing multi-cloud or hybrid architectures, migrating workloads between providers, or comparing cloud services for a workload.'

Enumerate 2-3 more concrete capabilities in the description (service selection across providers, migration planning, cross-cloud cost comparison) to raise specificity.

Include the natural phrases users would say — 'multi-cloud', 'cloud migration', 'cloud-agnostic' — to improve trigger term coverage.

DimensionReasoningScore

Specificity

The description names a well-scoped domain ("across AWS, Azure, and GCP") with one concrete action ("architecting applications") plus artifact types ("Decision framework and patterns"), matching the 'names domain and 1-2 concrete actions, but not comprehensive' anchor. It is above score 2 because the domain is specifically scoped to three named providers, but below 4 because no list of several specific actions (e.g., service selection, migration, cost comparison) is given.

3 / 5

Completeness

The 'what' is clear ("Decision framework and patterns for architecting applications across AWS, Azure, and GCP") but there is no 'Use when...' clause or equivalent trigger guidance, capping completeness at 3 per the judging guidelines. This exactly matches the anchor 'Has a clear what but when is missing'.

3 / 5

Trigger Term Quality

"AWS", "Azure", "GCP", and "architecting applications" are natural terms users would say, giving good keyword coverage. Score 5 is not earned because the most natural phrase "multi-cloud" plus common variations like "cloud migration" and "hybrid cloud" are absent from the description itself.

4 / 5

Distinctiveness Conflict Risk

The tri-cloud framing ("across AWS, Azure, and GCP") carves out a mostly distinct niche with minimal conflict risk against single-purpose skills. It is not 5 because there is minor overlap risk with closely related skills such as single-provider architecture or cost-optimization skills, and no explicit trigger phrases further separate it.

4 / 5

Total

14

/

20

Passed

Validation

87%

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

Validation — 14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

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

Warning

referenced_paths_exist

Referenced path issues: 4 missing

Warning

Total

14

/

16

Passed

Repository

administrakt0r/AI-Agents-Safe-Coding-Skills

Path

plugins/AI-Agents-Safe-Coding-Skills-claude/skills/multi-cloud-architecture/SKILL.md

Reviewed

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