agentops
Provides a standardized development and validation loop for coding agents.
Install & Use
Copy this prompt and send it to your AI assistant (Claude / Cursor / TRAE / Codex / WorkBuddy etc.) to auto-install:
Help me install this AI Skill: agentops. It is used for: Provides a standardized development and validation loop for coding agents. Full Skill content: https://321skill.com/skills/agentops/raw/index.md Read that page and install it.
The prompt includes a link to the full Skill content. You can also view the full content.
AgentOps defines a standardized operational loop for coding agents (such as Claude Code, Cursor, etc.): clarify intent, scope-bounded implementation, independent validation, and forming persistent conclusions. It aims to address issues like intent drift, difficulty in ensuring code quality, and the lack of systematic validation during agent development.
To use it, you simply need to type /rpi or directly invoke commands like plan, implement, and validate in the agent's chat window to initiate the entire loop. This skill library guides the agent step-by-step through the entire process from planning to validation, requiring no additional runtime environment.
It is particularly well-suited for developers who need agent assistance with code development, refactoring, or maintenance, especially full-stack developers, backend developers, or agent developers who wish to enhance the reliability and traceability of the agent's code output.
For first-time use, installation via a plugin is recommended to receive automatic updates. The skill has built-in security policies that block a small number of known dangerous operations, but you can disable them at any time. For complex multi-agent collaboration projects, you can explore its accompanying skills like swarm for orchestration.
Key Features
The core differentiator is that it is not an external tool, but a standardized workflow skill directly embedded within the coding agent. A simple command like `/rpi` can trigger the complete "Plan-Implement-Validate" closed loop. It natively supports hashing snapshots of intent and validation results, ensuring the process is traceable.
Limitations
Not suitable for simple scenarios that only require one-off, fragmented code snippet generation without the need for a complete development process and rigorous validation.
FAQ
What's the difference between AgentOps and just having an AI write code normally?
AgentOps forces the agent to follow a standardized loop that includes independent validation, ensuring the code aligns with the original intent and its quality is controlled, rather than generating unchecked code in a single pass.
Is Beads required to use this?
No, it's not required. Beads is the recommended intent tracking tool, but even without it, the Plan phase will define the scope of work based on your chat content or questions.
Installation guide for AI assistants
If your AI coding assistant (Claude Code, Cursor, TRAE etc.) can see this page, send it this message to auto-install:
Visit https://321skill.com/skills/agentops/raw/index.md to read the original Skill definition (Markdown format) for agentops, and install it according to the instructions.
Raw Markdown URL for AI: /skills/agentops/raw/index.md