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dayu-harness

Deploy AGENTS.md-rooted AI collaboration governance with hooks and CI in Git repositories.

18|3|Updated May 15, 2026
Search Tags:#hooks#governance#project maintenance#ci#AGENTS.md#ai-execution#merge plan
One-click install
npx skills add https://github.com/kinoward/dayu-harness-skill --skill dayu-harness
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dayu-harness
Source: https://github.com/kinoward/dayu-harness-skill/tree/main
Command: npx skills add https://github.com/kinoward/dayu-harness-skill --skill dayu-harness

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires jq, git, node, npm, npx, python3, PyYAML, gh, and includes scripts (resource) and assets (resource) and references (resource) components.

What problem does it solve?

This Skill turns one-off AI collaboration prompts, constraints, and troubleshooting knowledge into a repository-level governance system that persists after the chat ends.

Core Features & Use Cases

  • Project-centric governance deployment: scaffolds and fuses an AGENTS.md-rooted progressive disclosure system into the target repository.
  • Mechanical enforcement: installs/updates hooks, CI, commit conventions, and deterministic format/validation scripts to keep rules actionable.
  • Knowledge & maintenance loop: sets up long-lived AI execution/memory boundaries and maintenance workflows (docs/harness/maintenance.md) so the project can keep evolving without the Skill.

Quick Start

Run /dayu-harness in your target repository to initialize, fuse existing rules, diagnose completeness, or maintain governance constraints.

Frequently Asked Questions about dayu-harness

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

FAQPage Schema
How do I turn scattered AI prompts and PR comments into persistent repo governance?▼

To turn scattered AI prompts into repo governance, deploy an AGENTS.md-rooted system that converts ad-hoc constraints, PR comments, and troubleshooting knowledge into lasting docs, hooks, and CI enforcement.

What is an AGENTS.md-rooted progressive disclosure system for AI collaboration?▼

An AGENTS.md-rooted progressive disclosure system is a repository-level governance framework that establishes long-lived AI execution boundaries, memory limits, and maintenance workflows to keep project rules actionable.

How do I set up mechanical enforcement for project maintenance rules using git hooks and CI?▼

To set up mechanical enforcement for project maintenance, install git hooks, CI pipelines, commit conventions, and deterministic validation scripts that ensure governance constraints remain actionable and validated.

Can I fuse existing partial governance setups into a unified AGENTS.md system without overwriting files?▼

Yes, you can fuse existing partial governance setups safely. The system generates merge plans instead of overwriting, diagnosing repository integrity and fusing scattered rules into a unified AGENTS.md structure.

Do I need jq, git, and python3 to deploy repository-level AI execution boundaries?▼

Yes, deploying repository-level AI execution boundaries requires jq, git, node, npm, npx, python3, PyYAML, and gh. The system runs environment and capability checks before generating governance artifacts and validating sensors.

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