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

91%

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Securityby

Medium

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Quality

Content

88%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.

A thorough, highly actionable skill body with strong workflow sequencing and validation for destructive operations. Length is mostly justified by six distinct actions, with minor conciseness and progressive-disclosure improvements available.

Suggestions

Move the relative-GPU-speed table and the fixed cost-presentation templates into a references/ file to shorten SKILL.md and improve progressive disclosure.

Tighten the 'Key Rules' and presentation sections, which partly restate guidance already embedded in the workflow steps.

Add an explicit per-instance validation checkpoint to the terse 'Destroy All' batch action so it mirrors the rigor of the single-destroy workflow.

Dimension	Reasoning	Score
Conciseness	Mostly efficient and operational with concrete CLI commands rather than generic concept explanations, though the fixed presentation table templates and relative-speed table add length that could be trimmed; not a 5 due to these padded presentation sections.	4 / 5
Actionability	Fully executable guidance with copy-paste vastai/ssh/rsync/scp commands and specific examples covering provisioning, renting, setup, and destruction.	5 / 5
Workflow Clarity	Multi-step workflows are clearly sequenced with explicit validation checkpoints (Verify SSH Connectivity, Verify Setup, Confirm Results Collected) and error-recovery feedback loops (permission-denied destroy/recreate, connection-refused retry), satisfying the destructive/batch validation requirement.	5 / 5
Progressive Disclosure	Well-organized with clear section headers and easy navigation, and no problematic nested references, but reference-like material (relative-speed table, presentation templates, CLAUDE.md example) is inlined in a >50-line single file with no bundle split; not a 5 because some content could be externalized.	4 / 5
	Total	18 / 20 Passed

Description

95%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 strong, third-person description that clearly states capabilities and provides concrete trigger phrases. Minor room to broaden the action list, but trigger coverage and completeness are excellent.

Dimension	Reasoning	Score
Specificity	Names the domain (vast.ai GPU instances) and three concrete actions ("Rent, manage, and destroy"), giving several specific actions with only minor coverage gaps; not a 5 because it stops at three verbs rather than enumerating the fuller lifecycle covered in the body.	4 / 5
Completeness	Explicitly answers both "what" (rent/manage/destroy GPU instances on vast.ai) and "when" via a concrete "Use when user says..." clause with trigger phrases.	5 / 5
Trigger Term Quality	Comprehensive natural-language triggers ("rent gpu", "vast.ai", "rent a server", "cloud gpu", "on-demand GPU without owning hardware") cover the synonyms a user would actually say.	5 / 5
Distinctiveness Conflict Risk	Tightly scoped to vast.ai GPU rental with distinct trigger phrases, making conflict with other skills unlikely.	5 / 5
	Total	19 / 20 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: 4b35756

Reviewed: 5 days ago

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