What is report-generation?

A skill for creating diagnostic reports in HTML or DOCX from vibration analysis. A diagnostic report records the findings of a machine-health analysis.

Use it to generate, export, save, or archive vibration-analysis reports, including DOCX reports.

It turns analysis results into saved documentation that can be exported or archived.

report-generation — Skill for Claude Code by LGDiMaggio

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/predictive-maintenance-mcp --skill report-generation

Clone the repo

git clone --depth 1 https://github.com/LGDiMaggio/predictive-maintenance-mcp

Made for: Claude Code.

Or install predictive-maintenance, the plugin that ships this one along with the rest of its 8 skills, 3 commands, 2 agents.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/lgdimaggio/predictive-maintenance-mcp/report-generation/github.svg)](https://agentmods.dev/skills/lgdimaggio/predictive-maintenance-mcp/report-generation)

Your own site

<a href="https://agentmods.dev/skills/lgdimaggio/predictive-maintenance-mcp/report-generation"><img src="https://agentmods.dev/badge/skills/lgdimaggio/predictive-maintenance-mcp/report-generation/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/lgdimaggio/predictive-maintenance-mcp/report-generation"><img src="https://agentmods.dev/badge/skills/lgdimaggio/predictive-maintenance-mcp/report-generation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 81 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,172 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.

Model	Per session	Once invoked
Fable 5.1	$0.00081	$0.01172
Opus 5.5	$0.00032	$0.00469
Sonnet 5.5	$0.00016	$0.00234
Haiku 4.5	$0.00008	$0.00117

Measured 14d ago against content hash ec7e885ca61e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

report-generation 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 14d 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.

plugin/skills/report-generation/SKILL.md · 115 lines

How it starts

The opening of the file, as written. The whole thing — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Report Generation

Orchestrate predictive-maintenance-mcp tools to produce professional diagnostic reports. Supports time-domain plots, FFT spectrum, envelope analysis, ISO 20816-3 evaluation, feature comparison, PCA visualization, and full DOCX documents.

Prerequisite: The predictive-maintenance-mcp MCP server must be connected.

Available Report Types

Report Type	Tool	When to Use
Time-domain plot	`plot_signal()`	Waveform inspection
FFT Spectrum	`generate_fft_report()`	Frequency content inspection
Envelope Analysis	`generate_envelope_report()`	Bearing fault frequency detection
ISO 20816-3	`generate_iso_report()`	Vibration severity classification
Feature Comparison	`generate_feature_comparison_report()`	Multi-signal comparison
PCA Visualization	`generate_pca_visualization_report()`	Anomaly-model cluster overview
Full DOCX	`generate_diagnostic_report_docx()`	Complete diagnostic document

Workflow

Step 1 — Determine Report Type

Ask the user or infer from context which report(s) are needed. For a "full" or "comprehensive" request, generate multiple reports in sequence.

Step 2 — Verify Signal Availability

Call list_signals(scope="memory") to confirm the signals are loaded. Load with load_signal(filepath="<file>", signal_unit="g") if needed (raw binary .bin/.raw/.dat files additionally need sample_format and sampling_rate — see the signal-management skill). All report tools take signal_id — the handle returned by load_signal.

Step 3 — Gather Parameters and Generate

Time-domain plot: plot_signal(signal_id="<id>", time_range=[0.0, 2.0], show_statistics=True)

FFT report: generate_fft_report(signal_id="<id>", max_freq=5000, num_peaks=15, rpm=1797) (rpm is optional — when given, harmonic markers are drawn at 1x/2x/3x RPM)

Envelope report: generate_envelope_report(signal_id="<id>", filter_low=500, filter_high=5000, max_freq=500, bearing_freqs={"BPFO": 107.4, "BPFI": 162.2}, rpm=1797) (bearing_freqs overlays expected fault frequency markers; pass rpm only as the measured shaft speed: it overrides the speed the signal declares, and without either the shaft-order and sideband tests do not run)

Read the full file on GitHub · 115 lines

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.

14d ago Changed · +2 lines ec7e885ca61e
2mo ago First seen · 113 lines · 81 tokens per session scan A 6adcee560546

Subscribe to this mod's changes

report-generation is a skill published in the GitHub repository LGDiMaggio/predictive-maintenance-mcp (109 stars, last pushed yesterday), licensed MIT. It adds 81 tokens to every session and 1,172 once invoked, about $0.0003 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 2026-08-30.

Documents Scientific anomaly-detection bearing-fault-diagnosis claude-agents claude-ai condition-monitoring envelope-analysis

report-generation next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
report-generationLGDiMaggio/predictive-maintenance-mcp	Skill	109	yesterday	MIT	A	81	Claude Code
clinical-case-reportnexu-io/open-design	Skill	106k	yesterday	Apache-2.0	A	73	Claude Code, Codex
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pydicomK-Dense-AI/scientific-agent-skills	Skill	56k	4d ago	MIT	A	52	Claude Code, Codex
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