Provides AI assistants with expert-system analysis of hardware performance characteristics, GPU diagnostics, and LLM optimization recommendations. Built with TypeScript and published on npm as @yamaru-eu/hardware-probe, it evaluates system hardware in the context of large language model inference requirements. Useful for developers configuring AI workload deployments.
Cognium trust score
64%
Tier
Scanned
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
Last scanned 2026-09-02.
Returns 7 tools: search_skills, get_skill, list_leaderboard, get_trust_breakdown, resolve_composition, plus the ChatGPT-connector search and fetch. Every tool is annotated read-only.
Resolve this skill directly via MCP tools/call get_skill.