aris-vast-gpu

Rent, manage, and destroy GPU instances on vast.ai. Use when user says "rent gpu", "vast.ai", "rent a server", "cloud gpu", or needs on-demand GPU without owning hardware.

Quality

88%

Does it follow best practices?

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Securityby

Medium

Suggest reviewing before use

Quality

Content

77%

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

The skill is highly actionable with clear, validated multi-step workflows and concrete executable commands. Its weakness is conciseness and progressive disclosure — a long monolithic file with inferable and illustrative content that could be trimmed or split into referenced files.

Suggestions

Trim or move the relative-speed scaling table, CLAUDE.md example, and composing-with-other-skills block into a separate reference file to reduce inline token load and improve progressive disclosure.

Cut inferable explanations (e.g. how VRAM headroom or cost estimation math works) down to the non-obvious decision rules Claude would not already know.

Extract the per-action command details (Rent/Setup/Destroy) into a referenced reference so SKILL.md reads as a concise overview with one-level-deep pointers.

Dimension	Reasoning	Score
Conciseness	Most of the body earns its tokens with concrete commands and tables, but ~370 lines include content Claude could infer or that could be tightened (relative speed scaling table, CLAUDE.md example, composing-with-other-skills block), landing it between efficient and lean.	2 / 3
Actionability	Commands are fully executable with real flags (e.g. `vastai search offers ... -o 'dph+' --storage <DISK>`), expected outputs, parsing instructions, and copy-paste-ready bash, matching the top anchor.	3 / 3
Workflow Clarity	Each action is sequenced into numbered steps with explicit validation checkpoints (poll instance-ready status, Verify SSH Connectivity with error recovery, Verify Setup) and confirmation before destructive destroys, satisfying the top anchor.	3 / 3
Progressive Disclosure	No bundle files exist or are referenced, so all content is inline in one ~370-line file; while sections are well-organized, content that could be split (scaling tables, examples) stays inline rather than behind one-level references.	2 / 3
	Total	10 / 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, uses third-person voice, and explicitly states both capability and trigger conditions with natural user phrasing. It hits every top anchor without padding or over-claims.

Dimension	Reasoning	Score
Specificity	"Rent, manage, and destroy GPU instances on vast.ai" lists multiple concrete actions (rent, manage, destroy) tied to a specific object (GPU instances), matching the highest anchor.	3 / 3
Completeness	It clearly answers both what (rent/manage/destroy GPU instances on vast.ai) and when via an explicit "Use when user says..." clause, satisfying the top anchor.	3 / 3
Trigger Term Quality	Explicit natural triggers — "rent gpu", "vast.ai", "rent a server", "cloud gpu" — are exactly what a user would say, giving good coverage of common variations.	3 / 3
Distinctiveness Conflict Risk	The vast.ai-specific niche with distinctive triggers ("vast.ai", "rent gpu") is unlikely to fire for unrelated skills, matching the clear-niche anchor.	3 / 3
	Total	12 / 12 Passed

Validation

87%

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 — 14 / 16 Passed

Validation for skill structure

Criteria	Description	Result
allowed_tools_field	'allowed-tools' contains unusual tool name(s)	Warning
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning

	Total	14 / 16 Passed

Repository: OpenLAIR/dr-claw
Path: skills/aris-vast-gpu/SKILL.md
Commit: 6da7f7c

Reviewed: about 7 hours ago

Table of Contents

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