workspace-monitor

Detect errors, warnings, and anomalies in project logs and build artifacts.

11|1|Updated Feb 9, 2026
One-click install
npx skills add https://github.com/mindcockpit-ai/cognitive-core --skill workspace-monitor
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: workspace-monitor
Source: https://github.com/mindcockpit-ai/cognitive-core/tree/main/core/skills/workspace-monitor
Command: npx skills add https://github.com/mindcockpit-ai/cognitive-core --skill workspace-monitor

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Continuous development generates extensive logs, test results, and build artifacts that can hide critical errors and performance regressions, making manual monitoring time‑consuming and error‑prone.

Core Features & Use Cases

  • Language‑aware scanning: Adapts error patterns to the project’s programming language via CC_LANGUAGE.
  • Multi‑mode operation: Handles single‑project scans or workspace‑wide monitoring across multiple projects.
  • Configurable filters: Supports options for errors‑only, time windows, specific categories (build, tests, runtime), and log size alerts.
  • Automated reporting: Generates detailed markdown reports summarizing alerts, test outcomes, build health, and log growth.

Quick Start

Execute the workspace-monitor skill with your chosen options to produce a comprehensive monitoring report for the project.

Frequently Asked Questions about workspace-monitor

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

FAQPage Schema
How do I detect errors and warnings in build logs and test results across a workspace?

You can detect errors and warnings in build logs and test results by scanning project logs, test suites, and build artifacts using language-aware patterns. This process generates detailed monitoring reports summarizing alerts and build health across multiple projects.

Can I monitor build health and test outcomes for multiple projects at the same time?

Yes, you can monitor build health and test outcomes for multiple projects simultaneously. Multi-mode operation supports workspace-wide monitoring, scanning logs and build outputs across all projects to produce a consolidated health report.

How do I filter log monitoring to only show errors from a specific time window?

You can filter log monitoring to show errors from a specific time window using configurable filters. Options include errors-only modes, specific categories like build or runtime, and time window constraints to narrow the generated monitoring report.

Does the log monitoring adapt error detection patterns to different programming languages?

Yes, log monitoring adapts error detection patterns to different programming languages. By configuring the language setting, the scanner applies language-aware patterns to accurately identify errors and anomalies specific to your project's tech stack.

What is the best way to identify anomalies and log growth in continuous development artifacts?

The best way to identify anomalies and log growth in continuous development artifacts is through automated scanning with size thresholds. This detects performance regressions and unusual log growth, generating a detailed markdown report summarizing the findings.

Why do I need automated scanning for build artifacts and test suites instead of manual monitoring?

You need automated scanning because continuous development generates extensive logs and build artifacts that hide critical errors. Manual monitoring is time-consuming and error-prone, whereas automated scanning uses configurable thresholds to surface issues before they escalate.