signal-management

signal-management is a skill for Claude Code from LGDiMaggio/predictive-maintenance-mcp. It costs 91 tokens per session (1,917 once invoked), scanned A, original, MIT.

A skill for loading, creating, listing, inspecting, and clearing signals through a predictive-maintenance server. A signal is a stream of measured or generated values, such as sensor readings over time.

In plain words
What is it for?
Use it to import or load signals, list available or loaded signals, inspect signal details, generate synthetic test data, and clear the cache.
Why use it?
It gives signal-related tasks a defined way to manage available data and cached results.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the predictive-maintenance plugin — 8 skills, 3 commands, 2 agents shipped together

Good fit Use it to import or load signals, list available or loaded signals, inspect signal details, generate synthetic test data, and clear the cache.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/lgdimaggio/predictive-maintenance-mcp/signal-management
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 signal-management
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.

agentmods badge for signal-management

README.md
[![agentmods](https://agentmods.dev/badge/skills/lgdimaggio/predictive-maintenance-mcp/signal-management/github.svg)](https://agentmods.dev/skills/lgdimaggio/predictive-maintenance-mcp/signal-management)
Your own site
<a href="https://agentmods.dev/skills/lgdimaggio/predictive-maintenance-mcp/signal-management"><img src="https://agentmods.dev/badge/skills/lgdimaggio/predictive-maintenance-mcp/signal-management/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 signal-management

Your own site · 80×15
<a href="https://agentmods.dev/skills/lgdimaggio/predictive-maintenance-mcp/signal-management"><img src="https://agentmods.dev/badge/skills/lgdimaggio/predictive-maintenance-mcp/signal-management.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 91 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,917 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 $0.00091 $0.01917
Opus 5.5 $0.00036 $0.00767
Sonnet 5.5 $0.00018 $0.00383
Haiku 4.5 $0.00009 $0.00192

Measured 1mo ago against content hash 5b7d59239e08, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

signal-management 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.

plugin/skills/signal-management/SKILL.md · 164 lines

How it starts

The opening of the file, as written. The whole thing — 164 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Signal Management

Load, generate, inspect, and manage vibration signals in the predictive-maintenance-mcp in-memory repository. Supports CSV, TXT, NPY, WAV, MAT (MATLAB), and Parquet formats, plus headerless raw binary (.bin, .raw, .dat) with a declared decode contract. The signal_id returned by loading is the single handle every analysis, diagnosis, report, and prognostics tool accepts.

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

Core Operations

List Available Signals

  • On disk: list_signals(scope="disk") — files under data/signals/ that load_signal can open (this is also the default scope).
  • In memory: list_signals(scope="memory") — signals currently loaded, with their signal_id, sampling rate, and declared unit.

Load a Signal

Call load_signal(filepath="real_train/baseline_1.csv", signal_unit="g").

  • filepath: path relative to data/signals/ or an absolute path
  • signal_id (optional): custom handle. Default: the relative path with separators replaced by underscores — real_train/baseline_1.csv becomes real_train_baseline_1, so same-named files in different folders never collide silently
  • sampling_rate (optional): Hz — overrides the companion metadata file. Required if no _metadata.json declares it (ask the user; never guess)
  • signal_unit (optional): "g", "m/s2", "mm/s", or "m/s" — declare it if known. ISO severity verdicts are REFUSED for signals without a declared unit; units are never guessed from amplitude
  • overwrite: re-loading a path whose signal_id already exists is an explicit error unless overwrite=True
  • Asset identity: a companion whose measurement object declares asset_id, measurement_point_id and acquired_at (optionally rpm in rev/min, load, operating_state, sensor_id, direction, declared_by) is validated on load, and the measurement is then recorded in the local asset ledger; the returned measurement block reports ledger_status, snapshot_status and the comparability grade against the point. An invalid object is refused with every problem named; a companion without the object loads exactly as before

Read the full file on GitHub · 164 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.

  1. 1mo ago Changed · +24 lines 5b7d59239e08
  2. 2mo ago First seen · 140 lines · 91 tokens per session scan A 48519f9f2b7e

Subscribe to this mod's changes

signal-management is a skill published in the GitHub repository LGDiMaggio/predictive-maintenance-mcp (109 stars, last pushed yesterday), licensed MIT. It adds 91 tokens to every session and 1,917 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 2026-08-30.

Related

signal-management compared with skills from other repositories

signal-management next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
signal-managementLGDiMaggio/predictive-maintenance-mcpSkill109yesterdayMITA91Claude Code
machine-vibration-monitoringLGDiMaggio/claude-stwinbox-diagnosticsSkill107mo agoApache-2.0A107Claude Code, Codex
vibration-fault-diagnosisLGDiMaggio/claude-stwinbox-diagnosticsSkill107mo agoApache-2.0A117Claude Code, Codex
ruview-applicationsruvnet/RuViewSkill103kyesterdayMITA79Claude Code
lab-hardware-cadK-Dense-AI/scientific-agent-skillsSkill56k4d agoMITA108Claude Code
pylabrobotK-Dense-AI/scientific-agent-skillsSkill56k4d agoMITA49Claude Code
pybammK-Dense-AI/scientific-agent-skillsSkill56k4d agoMITA70Claude Code, Codex