agentmods.dev

machine-vibration-monitoring

machine-vibration-monitoring is a skill for Claude Code, Codex from LGDiMaggio/claude-stwinbox-diagnostics. It costs 107 tokens per session (1,984 once invoked), scanned A, original, Apache-2.0.

A workflow for collecting and analysing vibration measurements from the STEVAL-STWINBX1, a sensor board for monitoring rotating machines. It also covers sensor setup and baseline vibration profiles, which describe a machine’s normal behaviour.

In plain words
What is it for?
Use it to start recordings, inspect device and sensor settings, configure measurements, tag events, and prepare vibration data for analysis.
Why use it?
It provides a defined way to connect the sensor board, configure its sensors, and collect measurements for machine monitoring.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 10repo 7mo ago A scan 107 tokens original Apache-2.0

Good fit Use it to start recordings, inspect device and sensor settings, configure measurements, tag events, and prepare vibration data for analysis.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/lgdimaggio/claude-stwinbox-diagnostics/machine-vibration-monitoring
View source ↗ LGDiMaggio/claude-stwinbox-diagnostics lgdimaggio.github.io
Install

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.

Any agent
npx skills add LGDiMaggio/claude-stwinbox-diagnostics --skill machine-vibration-monitoring
Clone the repo
git clone --depth 1 https://github.com/LGDiMaggio/claude-stwinbox-diagnostics

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for machine-vibration-monitoring

README.md
[![agentmods](https://agentmods.dev/badge/skills/lgdimaggio/claude-stwinbox-diagnostics/machine-vibration-monitoring/github.svg)](https://agentmods.dev/skills/lgdimaggio/claude-stwinbox-diagnostics/machine-vibration-monitoring)
Your own site
<a href="https://agentmods.dev/skills/lgdimaggio/claude-stwinbox-diagnostics/machine-vibration-monitoring"><img src="https://agentmods.dev/badge/skills/lgdimaggio/claude-stwinbox-diagnostics/machine-vibration-monitoring/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.

agentmods 80×15 button for machine-vibration-monitoring

Your own site · 80×15
<a href="https://agentmods.dev/skills/lgdimaggio/claude-stwinbox-diagnostics/machine-vibration-monitoring"><img src="https://agentmods.dev/badge/skills/lgdimaggio/claude-stwinbox-diagnostics/machine-vibration-monitoring.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 107 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,984 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00107 $0.01984
Opus 5.5 $0.00043 $0.00794
Sonnet 5.5 $0.00021 $0.00397
Haiku 4.5 $0.00011 $0.00198

Measured 2mo ago against content hash 746a35133b6f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

machine-vibration-monitoring 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 2mo ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/check_thresholds.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/machine-vibration-monitoring/SKILL.md · 169 lines

How it starts

The opening of the file, as written. The whole thing — 169 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Machine Vibration Monitoring

You are helping the user set up and operate vibration-based condition monitoring on rotating machinery using the STEVAL-STWINBX1 (STWIN.box) sensor node.

System Architecture

The STWIN.box is an industrial-grade sensor node with these relevant sensors:

  • IIS3DWB: 3-axis wideband accelerometer, up to 26.7 kHz bandwidth — primary sensor for vibration
  • ISM330DHCX: 6-axis IMU with machine-learning core, up to 6.7 kHz
  • IIS2ICLX: High-accuracy 2-axis inclinometer
  • STTS22H: Temperature sensor (±0.5 °C accuracy)

The board runs FP-SNS-DATALOG2 firmware and communicates over USB-HID. Two MCP servers handle acquisition and analysis.

Available MCP Tools

Sensor Server (stwinbox-sensor-mcp)

  • datalog2_connect — Connect via USB-HID
  • datalog2_start_acquisition(name, description, duration_s) — Start logging; duration_s auto-stops
  • datalog2_stop_acquisition — Stop manual-mode acquisition
  • datalog2_get_device_info — Device/firmware info
  • datalog2_list_sensors — Active sensors with ODR/FS
  • datalog2_configure_sensor — Enable/disable, set ODR/FS
  • datalog2_tag_acquisition — Add event tags during acquisition

Analysis Server (vibration-analysis-mcp)

  • load_signal — Load data from file or DATALOG2 acquisition folder
  • compute_fft_spectrum — FFT magnitude spectrum
  • find_spectral_peaks — Detect dominant frequency peaks
  • assess_vibration_severity — ISO 10816 severity classification
  • diagnose_vibration — Full automated diagnosis pipeline

Workflow: First-Time Setup

When a user wants to monitor a new machine, follow these steps:

  1. Connect to the board

    • datalog2_connect — auto-discovers the STWIN.box over USB-HID
    • datalog2_get_device_info — confirm firmware version and board identity

  2. Configure sensors for the application

    • datalog2_list_sensors — see current sensor configuration (ODR, FS, enabled)
    • Ask the user about machine type and expected shaft speed (RPM)
    • datalog2_configure_sensor — enable/disable sensors, adjust ODR and full-scale
    • Typical configurations:
      • Wideband vibration: IIS3DWB at 26667 Hz ODR — best for bearing analysis
      • General purpose: ISM330DHCX at 6667 Hz — good for unbalance/misalignment

Read the full file on GitHub · 169 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. 2mo ago First seen · 169 lines · 107 tokens per session scan A 746a35133b6f

Subscribe to this mod's changes

machine-vibration-monitoring is a skill published in the GitHub repository LGDiMaggio/claude-stwinbox-diagnostics (10 stars, last pushed 7mo ago), licensed Apache-2.0. It adds 107 tokens to every session and 1,984 once invoked, about $0.0004 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.

Hardware and IoTScientificbearing-fault-detectionclaudecondition-monitoringedge-aiindustrial-iotmcp
Related

machine-vibration-monitoring compared with skills from other repositories

machine-vibration-monitoring next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
machine-vibration-monitoringLGDiMaggio/claude-stwinbox-diagnosticsSkill107mo agoApache-2.0A107Claude Code, Codex
bearing-diagnosisLGDiMaggio/predictive-maintenance-mcpSkill109yesterdayMITA93Claude Code
prognosticsLGDiMaggio/predictive-maintenance-mcpSkill109yesterdayMITA154Claude Code
signal-managementLGDiMaggio/predictive-maintenance-mcpSkill109yesterdayMITA91Claude Code
multi-gmsl-3d-reconstructionSeeed-Projects/Seeed-Jetson-DevelopToolSkill56yesterdayMITB71Claude Code, Codex
ruview-applicationsruvnet/RuViewSkill103kyesterdayMITA79Claude Code
lab-hardware-cadK-Dense-AI/scientific-agent-skillsSkill56k4d agoMITA108Claude Code