Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add yamaru-eu/hardware-probe --skill hardware-performance-expertgit clone --depth 1 https://github.com/yamaru-eu/hardware-probeWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/yamaru-eu/hardware-probe/hardware-performance-expert)<a href="https://agentmods.dev/skills/yamaru-eu/hardware-probe/hardware-performance-expert"><img src="https://agentmods.dev/badge/skills/yamaru-eu/hardware-probe/hardware-performance-expert/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/yamaru-eu/hardware-probe/hardware-performance-expert"><img src="https://agentmods.dev/badge/skills/yamaru-eu/hardware-probe/hardware-performance-expert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00021 | $0.00741 |
| Opus 5.5 | $0.00008 | $0.00296 |
| Sonnet 5.5 | $0.00004 | $0.00148 |
| Haiku 4.5 | $0.00002 | $0.00074 |
Grade A, and why
hardware-performance-expert scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: Hardware & Performance Expert
This skill is your primary expert for everything related to your machine's physical capabilities and real-time health. It provides deep diagnostics and actionable solutions for performance bottlenecks.
When to use
Activate this skill whenever you need to:
- Inventory: Get a detailed report of the local hardware (CPU, RAM, GPU, OS).
- Troubleshoot: Resolve slowness, high resource usage, or thermal throttling.
- AI Optimization: Evaluate LLM compatibility and optimize inference speeds.
- Upgrades: Get technical recommendations for hardware improvements.
Performance Troubleshooting Protocol
1. Resource Saturation Analysis
- Tool:
analyze_performance,analyze_ram_pressure - CPU Threshold: If
currentLoad> 80% sustained, identify top processes and recommend actions. - RAM Threshold: If
memory_used_percent> 90%, runanalyze_ram_pressureto analyze swap usage and top RSS processes.
2. Thermal & Power Bottlenecks
- Context: High-end hardware performing below expectations.
- Action: Call
thermal_profileto check for temperature spikes or frequency clipping (throttling) and suggest environmental fixes.
3. Storage Performance
- Tool:
analyze_local_system,check_storage_health - Action: Monitor SSD fill rates (> 90%). Call
check_storage_healthto verify SMART status and identify legacy HDDs slowing down modern workflows.
4. Dev Environment & Security
- Context: Slow build times or "permission denied" errors on dev paths.
- Action: Call
diagnose_antivirus_impactto detect EDR/Antivirus exclusion coverage on project hot paths.
5. Time-Bound Monitoring
- Context: Transient issues that happen during a specific task (e.g., "The machine slows down only when I compile" or "Inference starts fast then lags").
- Action: Call
monitor_system_healthwith a duration (e.g., 30s) to collect statistical data (min/max/avg) while the problematic task is running.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 62 lines · 21 tokens per session scan A 3602ad914974
hardware-performance-expert is a skill published in the GitHub repository yamaru-eu/hardware-probe (7 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 21 tokens to every session and 741 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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