skills.rest
bykoleksii-hardo
bykoleksii-hardoCOMMUNITY
Explore all skills by this author →
GitHub

harness-engineering

Design autonomous agent harnesses with control surfaces, feedback loops, and durable state.

Updated Apr 25, 2026
Search Tags:#state management#autonomous agents#feedback loops#control systems#agent harness
One-click install
npx skills add https://github.com/bykoleksii-hardo/hardo-app --skill harness-engineering-bykoleksii-hardo
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: harness-engineering
Source: https://github.com/bykoleksii-hardo/hardo-app/tree/main/.claude/skills/harness-engineering
Command: npx skills add https://github.com/bykoleksii-hardo/hardo-app --skill harness-engineering-bykoleksii-hardo

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides the tools and framework for designing and managing autonomous agent harnesses, ensuring they operate safely and effectively.

Core Features & Use Cases

  • Agent Control: Defines surfaces, feedback, and persistence for autonomous agents.
  • Feedback Loops: Establishes fast, unambiguous feedback for autonomy.
  • Durable State: Ensures long-running agents externalize state for recovery.
  • Search Discipline: Enforces rules for search and pruning to avoid overfitting.
  • Mechanism Registry: Tracks accepted mechanisms for reuse and novelty.
  • Governance: Manages the preparation of PRs and deployment approvals.
  • Use Case: Use this Skill to create a harness for an AI agent that evaluates new software code, ensuring it operates within predefined boundaries and human oversight.

Quick Start

Create a harness for your AI agent to evaluate software code, including defining locked metrics, feedback loops, and human approval requirements.

Frequently Asked Questions about harness-engineering

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

FAQPage Schema
How do I design an autonomous agent harness with durable state management?▼

Design an autonomous agent harness by defining control surfaces, establishing fast feedback loops, and externalizing durable state to ensure long-running agents recover safely across sessions.

What are control surfaces and feedback loops in autonomous agents?▼

Control surfaces and feedback loops establish fast, unambiguous metrics for autonomy, allowing autonomous agents to self-correct and operate effectively within predefined boundaries during long-running tasks.

How do I ensure safe AI agent governance and human oversight for code evaluation?▼

Implement agent governance by defining locked metrics, preparing pull requests, and establishing deployment approvals to ensure human oversight for safe AI code evaluation.

Can I reuse accepted mechanisms in an autonomous agent harness?▼

Yes, a mechanism registry tracks accepted mechanisms within the agent harness, enabling reuse and tracking novelty to avoid overfitting during future autonomous operations.

Why does my autonomous agent overfit search results during long-running sessions?▼

Autonomous agents overfit search results without enforced search discipline and pruning rules, which the harness provides to manage state preservation and prevent overfitting.

Related Skills

Explore More Software Engineering Skills→
yu13130122297yu13130122297

scout

Identify uncertainties in research framing, datasets, metrics, and baselines.

Community
Intermediate
m2ai-portfoliom2ai-portfolio
4

failure-asymmetry

Compare human and agent skill invocations to detect divergence risks.

Official
Advanced
obsfxobsfx

trekker

Track tasks persistently across sessions using Trekker as the source of truth.

Community
Intermediate
FVossebeldFVossebeld

harness-engineering

Design autonomous agent harnesses with surface classifications, durable logs, and governance gates.

Community
Advanced