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jiyangnan
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agent-work-standards

Validate agent actions against operating standards in OpenClaw environments.

2|Updated Feb 27, 2026
Search Tags:#debugging#OpenClaw#agent validation#agent standards#operational guidelines
One-click install
npx skills add https://github.com/jiyangnan/xiaonangua-openclaw-skills --skill agent-work-standards
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agent-work-standards
Source: https://github.com/jiyangnan/xiaonangua-openclaw-skills/tree/main/skills/agent-work-standards
Command: npx skills add https://github.com/jiyangnan/xiaonangua-openclaw-skills --skill agent-work-standards

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill ensures agents operate consistently by adhering to strict guidelines and safety checks, reducing the likelihood of errors and inconsistencies in their work.

Core Features & Use Cases

  • Necessity Check: Ensures all actions are performed with proper checks for necessary conditions and high-risk actions.
  • Confirmation Loop: Requires explicit confirmation for irreversible actions, enhancing security.
  • Debug Output Template: Provides a standardized format for debugging outputs to help diagnose issues quickly.
  • Memory & Knowledge Separation: Promotes a clear division between temporary workspace data and permanent knowledge storage.
  • Sub-agent Delivery Contract: Sets expectations and delivers results in a structured manner for sub-agents.
  • Use Case: When deploying new agents in an OpenClaw system or seeking to standardize the performance of multiple agents, this Skill ensures reliability.

Quick Start

Set up the Agent Work Standards by copying the necessary files into your OpenClaw workspace and applying the rule file to each agent's configuration.

Frequently Asked Questions about agent-work-standards

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

FAQPage Schema
How do I enforce strict operational standards for agents in an OpenClaw environment?▼

To enforce agent operating standards in an OpenClaw environment, apply a strict workflow rule file to each agent's configuration that requires necessity checks and explicit confirmation for high-risk actions.

How do I require explicit confirmation for high-risk agent actions?▼

You require explicit confirmation for irreversible agent actions by implementing a confirmation loop rule, ensuring the agent pauses and receives user approval before executing high-risk tasks.

What is the best way to standardize debugging output for multiple agents?▼

The best way to standardize debugging output for multiple agents is to apply a debug output template, providing a consistent format that helps diagnose issues quickly across the system.

How do I separate temporary memory from permanent knowledge storage for agents?▼

You separate temporary memory from permanent knowledge storage by enforcing memory and knowledge separation rules, promoting a clear division between workspace data and persistent knowledge.

Does setting up agent validation rules require any external dependencies?▼

Setting up agent validation rules requires no external dependencies; you simply copy the necessary scripts and reference files into your OpenClaw workspace and apply the rule file to each configuration.

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