ReddRadar
Agent skill
smart
Enhanced smartctl interface for disk health monitoring, supporting interactive UI and AI report generation. Core Scenario: When the user needs to check disk health (SMART), list disk devices, or generate AI-assisted health reports.
Install this agent skill to your Project
npx add-skill https://github.com/x-cmd/skill/tree/main/data/x-cmd/smart
SKILL.md
smart - Disk Health & Diagnostics
The smart module provides an enhanced CLI for smartctl, enabling users to monitor disk health, access self-monitoring (SMART) data, and even leverage AI to interpret technical diagnostic results.
When to Activate
- When performing hardware health checks on local disks.
- When needing an interactive list of disk devices to choose from.
- When using Gemini to generate human-readable reports from technical SMART data.
- When searching for disk health documentation on smartmontools.com.
Core Principles & Rules
- Elevated Privileges: Automatically invokes
sudoif needed to access raw disk data. - AI Integration: Designed to pipe diagnostic output into
@geminifor simplified interpretation. - FZF Integration: Use the
--appmode for an interactive TUI selection.
Patterns & Examples
List Disks
# Show all available disk paths
x smart --ls
Full Diagnostics (Interactive)
# Open interactive UI to select disk and view health info
x smart
AI-Assisted Reporting
# Generate a diagnostic report using Gemini for a specific disk
x smart -a /dev/disk0 | @gemini "generate a health report"
Checklist
- Confirm the target disk path (e.g.,
/dev/disk0). - Verify if the user has the necessary permissions (automated sudo available).
- Ensure AI integration is requested for report generation.
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
x-cmd/skill
pufferlib
High-performance reinforcement learning framework optimized for speed and scale. Use when you need fast parallel training, vectorized environments, multi-agent systems, or integration with game environments (Atari, Procgen, NetHack). Achieves 2-10x speedups over standard implementations. For quick prototyping or standard algorithm implementations with extensive documentation, use stable-baselines3 instead.
x-cmd/skill
fluidsim
Framework for computational fluid dynamics simulations using Python. Use when running fluid dynamics simulations including Navier-Stokes equations (2D/3D), shallow water equations, stratified flows, or when analyzing turbulence, vortex dynamics, or geophysical flows. Provides pseudospectral methods with FFT, HPC support, and comprehensive output analysis.
x-cmd/skill
metabolomics-workbench-database
Access NIH Metabolomics Workbench via REST API (4,200+ studies). Query metabolites, RefMet nomenclature, MS/NMR data, m/z searches, study metadata, for metabolomics and biomarker discovery.
x-cmd/skill
geniml
This skill should be used when working with genomic interval data (BED files) for machine learning tasks. Use for training region embeddings (Region2Vec, BEDspace), single-cell ATAC-seq analysis (scEmbed), building consensus peaks (universes), or any ML-based analysis of genomic regions. Applies to BED file collections, scATAC-seq data, chromatin accessibility datasets, and region-based genomic feature learning.
x-cmd/skill
zinc-database
Access ZINC (230M+ purchasable compounds). Search by ZINC ID/SMILES, similarity searches, 3D-ready structures for docking, analog discovery, for virtual screening and drug discovery.
x-cmd/skill
astropy
Comprehensive Python library for astronomy and astrophysics. This skill should be used when working with astronomical data including celestial coordinates, physical units, FITS files, cosmological calculations, time systems, tables, world coordinate systems (WCS), and astronomical data analysis. Use when tasks involve coordinate transformations, unit conversions, FITS file manipulation, cosmological distance calculations, time scale conversions, or astronomical data processing.
Didn't find tool you were looking for?