Why are binary CI gates important for AI agents?

AI agents often ignore advisory warnings; binary (pass/fail) gates ensure that agents cannot proceed until all architectural and quality requirements are strictly met.

What are Teaching Linter Errors?

These are custom linter messages designed for agents that include not just the error, but also the specific remediation steps and documentation links needed to fix the issue.

How does AGENTS.md differ from standard documentation?

Instead of generic advice, AGENTS.md acts as a failure ledger, recording specific past mistakes made by agents and providing 'must-follow' rules to prevent recurrence.

What is the Harness Engineering methodology?

It is a repository design strategy that treats the codebase as a harness to guide AI agents, using context engineering, architectural constraints, and garbage collection to ensure deterministic outcomes.

Harness Engineering for AI

Name: Harness Engineering for AI
Author: majesticlabs-dev

bymajesticlabs-dev

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开发者工具

Optimizes repository structures to eliminate AI agent hallucinations and enforce architectural boundaries through deterministic constraints.

Harness Engineering provides a systematic methodology for transforming a codebase into an AI-ready environment where agents operate with maximum precision. By treating the repository as a 'harness,' it implements three critical pillars: context engineering via AGENTS.md failure ledgers, architectural constraints using teaching linter errors, and active garbage collection to prevent entropy. This skill is essential for teams experiencing agent regressions, boundary violations, or documentation drift, ensuring that the repository itself corrects agent behavior through automated enforcement rather than manual guidance.

主要功能

01AGENTS.md failure ledgers that turn past agent mistakes into strict enforcement rules

02Structural tests to enforce architectural boundaries and dependency layering in CI

0330 GitHub stars

04Binary CI gates that convert advisory warnings into mandatory pass/fail requirements

05Teaching linter errors that provide agents with immediate remediation instructions

06Automated garbage collection agents to remove dead code and reconcile documentation drift

使用场景

01Enforcing strict architectural boundaries to prevent agents from creating technical debt

02Diagnosing and fixing recurring AI agent hallucinations or incorrect tool usage

03Setting up a new repository optimized for AI-driven development and autonomous agents

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add majesticlabs-dev/majestic-marketplace harness-engineering

For use in Claude.ai and ChatGPT

Download Skill