get-available-resources

Detect host inventory and effective CPU, memory, disk, scheduler, container, and accelerator limits when a user asks for resource-aware planning or before a clearly resource-sensitive local workload. Produces a redacted JSON snapshot and conservative planning helpers without stress tests or assuming visible host hardware is usable.

Quality

89%

Does it follow best practices?

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Adds up to 20 points to the overall score

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Securityby

Low

Low-risk findings worth noting

Quality

Content

86%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 well-organized, executable skill body with strong progressive disclosure and concrete commands throughout. Minor room to tighten the field-semantics detail and make the validation feedback loop more explicit.

Dimension	Reasoning	Score
Conciseness	Dense and assumes Claude's competence with no padding on basic concepts; the field-semantics listing in 'Required interpretation' could be slightly tightened but mostly earns its tokens.	4 / 5
Actionability	Provides fully executable, copy-paste-ready commands for detection, planning, validation, diffing, and accelerator diagnostics that cover the common cases.	5 / 5
Workflow Clarity	Clear detect-to-plan sequence with an explicit validation step and a partial-failures/provenance section for error inspection, but it is not framed as a tight validate-fix-retry loop.	4 / 5
Progressive Disclosure	The body is an overview that points to well-signaled, one-level-deep references (resource_semantics.md, snapshot_schema.md, sources.md), all of which exist as real bundled files, with content appropriately split.	5 / 5
	Total	18 / 20 Passed

Description

92%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, specific description that clearly states both capability and trigger conditions with comprehensive domain coverage. The only soft spot is trigger phrasing that leans technical rather than matching the most natural user language.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete actions across a comprehensive set of domains: 'Detect host inventory and effective CPU, memory, disk, scheduler, container, and accelerator limits' and 'Produces a redacted JSON snapshot and conservative planning helpers'.	5 / 5
Completeness	Explicitly answers both what (detect limits, produce redacted snapshot and planning helpers) and when ('when a user asks for resource-aware planning or before a clearly resource-sensitive local workload').	5 / 5
Trigger Term Quality	Includes concrete resource terms (CPU, memory, disk, scheduler, container, accelerator) and trigger phrases ('resource-aware planning', 'resource-sensitive local workload'), but the phrasing is somewhat technical and misses common natural synonyms a user would say.	4 / 5
Distinctiveness Conflict Risk	Occupies a clear niche (conservative, redacted resource detection for planning) with distinct triggers and minimal overlap risk with other skills.	5 / 5
	Total	19 / 20 Passed

Validation

100%

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 — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository: K-Dense-AI/scientific-agent-skills
Path: skills/get-available-resources/SKILL.md
Commit: b2a92ba

Reviewed: 3 days ago

Table of Contents

Discovery Implementation Validation

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