harness-validator

Validate knowledge base harness integrity for coordinated AI agent teams.

2|2|Updated Mar 17, 2026
One-click install
npx skills add https://github.com/mathiasbourgoin/roster --skill harness-validator
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: harness-validator
Source: https://github.com/mathiasbourgoin/roster/tree/main/.opencode/skills/harness-validator
Command: npx skills add https://github.com/mathiasbourgoin/roster --skill harness-validator

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Manually verifying the integrity of a knowledge base (KB) harness for coordinated agent teams is time-consuming and error-prone, especially after making structural changes like adding new agents, updating rules, or modifying hooks. This Skill automates the validation process to catch misconfigurations and contradictions before they break agent workflows.

Core Features & Use Cases

  • Comprehensive Harness Audits: Runs 7 distinct validation checks covering KB structure, required auditor skill installations, rule coherence, hook configuration, CLAUDE.md KB references, and feedback loop wiring.
  • Structured Health Reporting: Generates a categorized report with critical issues, warnings, and informational notes, plus a clear overall health status (HEALTHY, DEGRADED, or BROKEN) based on issue severity.
  • Use Case: Run this Skill immediately after any structural change to your harness (e.g., adding a new agent, updating project rules, modifying pre-commit hooks) to confirm all components are properly configured and aligned.

Quick Start

Use the harness-validator skill to run a full integrity check of your project's KB harness and receive a detailed health report with prioritized fixes for any issues found.

Frequently Asked Questions about harness-validator

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

FAQPage Schema
How do I validate AI agent knowledge base integrity after modifying rules or hooks?

You can validate knowledge base integrity by running automated structural checks that confirm rule-agent alignment, hook configurations, and feedback loop wiring. This detects misconfigurations and contradictions before they break coordinated agent execution pipelines.

What is knowledge base harness validation for coordinated AI agent teams?

Knowledge base harness validation is an automated meta-auditing process that verifies structural and operational integrity. It confirms KB file consistency, rule-agent alignment, tool access compatibility, and closed feedback loop wiring across coordinated agent workflows.

When should I run KB harness integrity checks on my AI agent project?

Run KB harness integrity checks immediately after any structural change to your agent project, such as adding new agents, updating project rules, modifying hooks, or installing auditor skills, to confirm all components remain properly configured and aligned.

Does automated harness validation detect broken feedback loops in agent execution pipelines?

Yes, automated harness validation detects broken feedback loops by checking closed feedback loop wiring. It runs multiple validation checks covering hook configurations and tool access compatibility to prevent broken agent execution pipelines.

How do I get a health report for my AI agent knowledge base configuration?

To get a health report, run a full integrity check that generates a categorized report with critical issues, warnings, and informational notes. The report assigns an overall health status of HEALTHY, DEGRADED, or BROKEN based on issue severity.

Can I check rule coherence and agent definitions across a knowledge base without manual review?

Yes, you can check rule coherence automatically. The validation process runs distinct checks covering KB structure, required auditor skill installations, rule-agent alignment, and CLAUDE.md KB references without needing time-consuming manual review.