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rules-crud-and-batch-run

Manage YAML fault detection rules and execute batch RuleRunner jobs.

157|31|Updated May 27, 2020
Search Tags:#yaml#data analysis#batch processing#rules#fault detection
One-click install
npx skills add https://github.com/bbartling/open-fdd --skill rules-crud-and-batch-run
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: rules-crud-and-batch-run
Source: https://github.com/bbartling/open-fdd/tree/main/skills/rules-crud-and-batch-run
Command: npx skills add https://github.com/bbartling/open-fdd --skill rules-crud-and-batch-run

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill simplifies managing YAML-based fault detection rules, enabling efficient editing, retrieval, and batch processing of rules for data analysis workflows.

Core Features & Use Cases

  • YAML Rule File Management: List, fetch, and update fault detection rule files stored on disk.
  • Batch Rule Execution: Run multiple RuleRunner jobs against stored time series data to identify faults.
  • Use Case: An operator modifies rules via API or dashboard and executes batch jobs to detect anomalies across large datasets.

Quick Start

Use the rules CRUD skill to list all YAML rule files and trigger batch runs for fault detection on stored metrics.

Frequently Asked Questions about rules-crud-and-batch-run

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I manage YAML-based fault detection rules across large datasets?▼

YAML fault detection rules are managed by listing, fetching, and updating rule files stored on disk, then executing batch jobs against time series data to identify anomalies efficiently.

What is batch rule execution for fault detection?▼

Batch rule execution involves running multiple RuleRunner jobs against stored time series data to identify faults, allowing operators to detect anomalies across large datasets within a single workflow.

Can I update fault detection rules via API and run them in batch?▼

Fault detection rules can be modified via RESTful APIs or a dashboard interface, followed by triggering batch RuleRunner jobs to execute the updated rules against stored metrics for analysis.

What's the best way to run multiple fault detection rules on stored time series data?▼

Running fault detection rules on time series data is best achieved using command-line tools or RESTful APIs to trigger batch RuleRunner jobs that process stored metrics and identify faults.

Do I need command-line tools to execute YAML rule batch runs for data analysis?▼

Executing batch runs for YAML fault detection rules can be done using either command-line tools or RESTful APIs, providing flexibility for automated workflows and manual operator interventions.

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