What is a 'Law' in this context?

A 'Law' refers to a grounded invariant or business rule that must remain true during system execution, such as inventory balances never dropping below zero.

Does it support telemetry data?

Yes, it monitors metrics like violation totals, violation rates, and p95 latency to provide a holistic view of system health.

What kind of reports does it generate?

It produces 'Law Health Reports' which summarize violations by severity (S0-S2), track trends, and document lessons learned in a standardized format.

How does this skill help with debugging?

It automatically parses logs for violation patterns, identifies if a problem is a 'Burst' or 'Periodic' issue, and suggests specific code changes based on the evidence found.

Operational Law & Invariant Monitor

Name: Operational Law & Invariant Monitor
Author: CAPHTECH

byCAPHTECH

0•

Analytics & Monitoring

Monitors runtime invariant violations and provides deep analysis of business logic failures in production environments.

The eld-ground-law-monitor skill is a specialized observability tool designed to uphold 'Grounded Laws'—critical business invariants and technical constraints. It automates the extraction of violation events from telemetry and logs, categorizing them into actionable patterns like bursts or incremental trends. By performing evidence-based root cause analysis, the skill helps developers bridge the gap between production errors and architectural improvements, generating comprehensive Law Health Reports that suggest specific code hardening or new invariant definitions to prevent future regressions.

Key Features

01Automated extraction and grouping of Law violation events from production logs

02Generation of Law Health Reports summarizing severity, trends, and system status

030 GitHub stars

04Actionable remediation suggestions including STM transactions and invariant hardening

05Evidence-based root cause analysis with confidence scoring for hypotheses

06Pattern classification to distinguish between isolated incidents and systemic regressions

Use Cases

01Analyzing production logs to identify concurrency issues and business rule violations

02Discovering new architectural 'Laws' based on observed failure patterns in telemetry

03Monitoring the health of critical invariants during new feature rollouts

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add caphtech/claude-marketplace eld-ground-law-monitor

For use in Claude.ai and ChatGPT

Key Features

01Automated extraction and grouping of Law violation events from production logs

02Generation of Law Health Reports summarizing severity, trends, and system status

030 GitHub stars

04Actionable remediation suggestions including STM transactions and invariant hardening

05Evidence-based root cause analysis with confidence scoring for hypotheses

06Pattern classification to distinguish between isolated incidents and systemic regressions

Use Cases

01Analyzing production logs to identify concurrency issues and business rule violations

02Discovering new architectural 'Laws' based on observed failure patterns in telemetry

03Monitoring the health of critical invariants during new feature rollouts