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servo:agent-loop

Automate iterative testing and optimization over codebases with Claude Code agents.

Updated May 16, 2026
Search Tags:#automated testing#continuous integration#code optimization#agent loop#code iteration
One-click install
npx skills add https://github.com/ramboz/servo --skill servo-agent-loop
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: servo:agent-loop
Source: https://github.com/ramboz/servo/tree/main/hosts/claude/skills/agent-loop
Command: npx skills add https://github.com/ramboz/servo --skill servo-agent-loop

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires claude, gate.py, and includes scripts (resource) components.

What problem does it solve?

This Skill facilitates automated iterations over codebases using agents, eliminating manual repetition and enabling consistent feedback and iteration on code quality.

Core Features & Use Cases

  • Automated Iteration: Run an agent loop against a codebase to perform tasks like testing, bug fixing, or optimization.
  • Guardrails: Implement guardrails such as iteration caps, cost ceilings, and context fill thresholds to manage and control the iteration process.
  • Integration: Seamlessly integrate with existing workflows, including human review, CI pipelines, or other agents.
  • Use Case: Use this Skill to automatically run a set of tests against your codebase and iterate until all tests pass, with budget and iteration limits enforced.

Quick Start

Run the agent loop on your project directory by executing the command: loop.py /path/to/repo --prompt "test the codebase".

Frequently Asked Questions about servo:agent-loop

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

FAQPage Schema
How do I automate iterative testing and bug fixing over my codebase?▼

Automated iterative testing uses Claude Code agents to run looped tasks against a codebase, executing commands like `loop.py /path/to/repo --prompt "test the codebase"` to iterate until tests pass or limits are reached.

What guardrails can I set for an agent loop running codebase iterations?▼

Agent loop guardrails enforce iteration caps, cost ceilings, and context fill thresholds to manage and control the automated codebase iteration process, preventing uncontrolled runs during continuous integration or code review workflows.

Do I need Claude Code and gate.py to run agent loops for code optimization?▼

Yes, running agent loops for code optimization requires Claude Code and gate.py to execute the automated iterations and handle iteration control and scoring for consistent feedback on code quality.

How does an agent loop integrate with continuous integration pipelines?▼

Agent loops integrate with continuous integration pipelines by automating iterative testing and optimization tasks, allowing seamless workflow insertion alongside human review or other agents for consistent codebase quality checks.

What's the best way to stop an agent loop from exceeding budget during codebase iteration?▼

To stop an agent loop from exceeding budget during codebase iteration, apply cost ceilings and iteration caps as guardrails within your loop configuration to strictly manage automated testing and code optimization expenses.

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