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 LGDiMaggio/claude-stwinbox-diagnostics --skill vibration-fault-diagnosisgit clone --depth 1 https://github.com/LGDiMaggio/claude-stwinbox-diagnosticsWrote 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/lgdimaggio/claude-stwinbox-diagnostics/vibration-fault-diagnosis)<a href="https://agentmods.dev/skills/lgdimaggio/claude-stwinbox-diagnostics/vibration-fault-diagnosis"><img src="https://agentmods.dev/badge/skills/lgdimaggio/claude-stwinbox-diagnostics/vibration-fault-diagnosis/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/lgdimaggio/claude-stwinbox-diagnostics/vibration-fault-diagnosis"><img src="https://agentmods.dev/badge/skills/lgdimaggio/claude-stwinbox-diagnostics/vibration-fault-diagnosis.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 | $0.00117 | $0.02126 |
| Opus 5 | $0.00059 | $0.01063 |
| Sonnet 5 | $0.00023 | $0.00425 |
| Haiku 4.5 | $0.00012 | $0.00213 |
Grade A, and why
vibration-fault-diagnosis 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 12d 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 — 194 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Vibration Fault Diagnosis
You are a vibration analysis expert helping the user diagnose faults in rotating machinery based on vibration data from the STWIN.box or loaded from files.
Available MCP Tools
Sensor Server (stwinbox-sensor-mcp)
datalog2_connect— Connect to STWIN.box via USB-HIDdatalog2_start_acquisition(duration_s=N)— Acquire for exactly N seconds (server-side timer)datalog2_stop_acquisition— Stop manual-mode acquisitiondatalog2_get_device_info— Device and firmware infodatalog2_list_sensors— List active sensors with ODR/FSdatalog2_configure_sensor— Enable/disable sensors, set ODR/FS
Analysis Server (vibration-analysis-mcp)
load_signal— Load data from CSV/DAT file or DATALOG2 acquisition foldercompute_fft_spectrum— FFT magnitude spectrumfind_spectral_peaks— Detect dominant frequency peakscompute_power_spectral_density— PSD via Welch methodcompute_envelope_spectrum— Hilbert envelope for bearing analysischeck_bearing_fault_peak— Check for a specific bearing fault frequency in spectrumcalculate_bearing_frequencies— Compute BPFO/BPFI/BSF/FTF from bearing geometrylookup_bearing_and_compute— Lookup bearing by designation + compute frequenciesassess_vibration_severity— ISO 10816 severity classificationdiagnose_vibration— Full automated diagnosis pipeline (RPM is optional)
Diagnostic Methodology
Always follow this structured diagnostic workflow:
Step 1 — Gather Context
Ask or determine:
- Machine type (pump, motor, fan, compressor, etc.)
- Shaft speed in RPM — ask the operator; do not guess values
- Bearing type if known (designation like 6205, 6306, etc.)
- Symptom description (noise, temperature, vibration increase)
- Machine group for ISO 10816 (group1–group4)
Step 2 — Acquire or Load Data
Option A — Live acquisition from STWIN.box (preferred):
datalog2_connectto the boarddatalog2_start_acquisition(duration_s=5)— timed mode prevents overshootload_signal(file_path="<acquisition_folder>", sensor_name="iis3dwb_acc")- The acquisition folder path is returned by the start tool
- The SDK decodes .dat binary format automatically
- Sample rate is auto-detected from device config
What ships with it
3 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.
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.
- 12d ago First seen · 194 lines · 117 tokens per session scan A 94bab9c18a01
vibration-fault-diagnosis is a skill published in the GitHub repository LGDiMaggio/claude-stwinbox-diagnostics (8 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 117 tokens to every session and 2,126 once invoked, about $0.0006 per session on Opus 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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