Exec Monitor

Log exec tool invocations with commands and context to JSONL files.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/WangK0221/OpenClaw_Shrimp --skill exec-monitor-wangk0221
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Exec Monitor
Source: https://github.com/WangK0221/OpenClaw_Shrimp/tree/main/skills/exec-monitor
Command: npx skills add https://github.com/WangK0221/OpenClaw_Shrimp --skill exec-monitor-wangk0221

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill addresses the need to understand and potentially optimize the usage of the exec tool, which can become a bottleneck if overused or used inefficiently.

Core Features & Use Cases

  • Usage Logging: Records every invocation of the exec tool with its command and context.
  • Pattern Detection: Helps identify patterns of high exec tool usage for further analysis.
  • Use Case: If the system frequently calls exec for similar commands, this skill's logs can help identify an opportunity to create a more specialized, efficient skill.

Quick Start

Log the execution of the command 'ls -l' with the context 'file_processing_task'.

Frequently Asked Questions about Exec Monitor

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

FAQPage Schema
How do I log exec tool usage in my automation workflow?

To log exec tool usage, this skill records every executed command and its operational context, storing the data in a JSONL file for subsequent analysis and bottleneck identification.

What is exec tool monitoring and why is it needed?

Exec tool monitoring tracks command invocations and their context to identify high usage patterns and potential bottlenecks in automation workflows, preventing inefficient execution overhead.

How do I identify automation bottlenecks caused by frequent command execution?

Identify automation bottlenecks by analyzing the JSONL logs generated by this skill, which record command invocations and contexts to help pinpoint patterns of high exec tool usage.

Can I use this to find opportunities for optimizing repetitive shell commands?

Yes, you can use the logged JSONL data to find opportunities for optimizing repetitive shell commands, helping you identify similar frequent invocations that could be replaced by a specialized skill.

Do I need any external dependencies to track and record command execution context?

No external dependencies are required to track and record command execution context, as the skill operates independently to store logs directly in a JSONL file for analysis.