harness

by revfactoryVerified

A meta-skill that designs domain-specific agent teams, defines specialized agents, and generates the skills they use.

8,816
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8/23/2026
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⚠️ Third-Party Software Notice

This skill is third-party open-source software developed and hosted independently on GitHub. SkillTip is an informational directory and does not control or maintain the underlying repository. Any security checks displayed are automated and limited in scope. Review the source code before installing.

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Installation

Add to your Claude Code skills directory:

# Add to your Claude Code skills
git clone https://github.com/revfactory/harness

Getting Started

Guides for using skills like harness.

Security Report

Verified

Last scanned: —

{
  "status": "PASSED",
  "issues": []
}

README.md

Harness Banner

Version License Claude Code Plugin 6 Architecture Patterns Agent Teams GitHub Stars

Layer Sub-layer i18n

Harness — The Team-Architecture Factory for Claude Code

English | 한국어 | 日本語

Harness is a team-architecture factory for Claude Code. Say "build a harness for this project" (English) or "하네스 구성해줘" (한국어) or "ハーネスを構成して" (日本語), and the plugin turns your domain description into an agent team and the skills they use — picked from six pre-defined team-architecture patterns.

Overview

Harness leverages Claude Code's agent team system to decompose complex tasks into coordinated teams of specialized agents. Say "build a harness for this project" and it automatically generates agent definitions (.claude/agents/) and skills (.claude/skills/) tailored to your domain.

Category — Where Harness Sits

Harness lives at the L3 Meta-Factory layer of the Claude Code ecosystem — the layer that generates other harnesses rather than being one. Inside L3, we pick a specific sub-layer: Team-Architecture Factory.

LayerWhat it doesNeighbors we coexist with
L3 — Meta-Factory / Team-Architecture Factory (us)Domain sentence → agent team + skills, via 6 pre-defined team patterns
L3 — Meta-Factory / Runtime-Configuration FactoryDeterministic, repeatable runtime configurationscoleam00/Archon
L3 — Meta-Factory / Codex Runtime PortSame concept, Codex runtimeSaehwanPark/meta-harness
L2 — Cross-Harness WorkflowStandardize skills/rules/hooks across multiple harnessesaffaan-m/ECC

Archon generates deterministic runtime configurations. Harness generates team architectures (pipeline, fan-out/fan-in, expert pool, producer-reviewer, supervisor, hierarchical delegation) plus the skills agents use. Different sub-layers of the same L3. Pick Archon for runtime determinism, Harness for team architecture, or combine them.

Star History

Star History Chart

Key Features

  • Agent Team Design — 6 architectural patterns: Pipeline, Fan-out/Fan-in, Expert Pool, Producer-Reviewer, Supervisor, and Hierarchical Delegation
  • Skill Generation — Auto-generates skills with Progressive Disclosure for efficient context management
  • Orchestration — Inter-agent data passing, error handling, and team coordination protocols
  • Validation — Trigger verification, dry-run testing, and with-skill vs without-skill comparison tests

Workflow

Phase 1: Domain Analysis
    ↓
Phase 2: Team Architecture Design (Agent Teams vs Subagents)
    ↓
Phase 3: Agent Definition Generation (.claude/agents/)
    ↓
Phase 4: Skill Generation (.claude/skills/)
    ↓
Phase 5: Integration & Orchestration
    ↓
Phase 6: Validation & Testing

Installation

Via Marketplace

Add the marketplace

/plugin marketplace add revfactory/harness

Install the plugin

/plugin install harness@harness-marketplace

Direct Installation as Global Skill

# Copy the skills directory to ~/.claude/skills/harness/
cp -r skills/harness ~/.claude/skills/harness

Plugin Structure

harness/
├── .claude-plugin/
│   └── plugin.json                 # Plugin manifest
├── skills/
│   └── harness/
│       ├── SKILL.md                # Main skill definition (6-Phase workflow)
│       └── references/
│           ├── agent-design-patterns.md   # 6 architectural patterns
│           ├── orchestrator-template.md   # Team/subagent orchestrator templates
│           ├── team-examples.md           # 5 real-world team configurations
│           ├── skill-writing-guide.md     # Skill authoring guide
│           ├── skill-testing-guide.md     # Testing & evaluation methodology
│           └── qa-agent-guide.md          # QA agent integration guide
└── README.md

Usage

Trigger in Claude Code with prompts like:

Build a harness for this project
Design an agent team for this domain
Set up a harness

Execution Modes

ModeDescriptionRecommended For
Agent Teams (default)TeamCreate + SendMessage + TaskCreate2+ agents requiring collaboration
SubagentsDirect Agent tool invocationOne-off tasks, no inter-agent communication needed

Harness Agent Team

Architecture Patterns

PatternDescription
PipelineSequential dependent tasks
Fan-out/Fan-inParallel independent tasks
Expert PoolContext-dependent selective invocation
Producer-ReviewerGeneration followed by quality review
SupervisorCentral agent with dynamic task distribution
Hierarchical DelegationTop-down recursive delegation

Output

Files generated by Harness:

your-project/
├── .claude/
│   ├── agents/          # Agent definition files
│   │   ├── analyst.md
│   │   ├── builder.md
│   │   └── qa.md
│   └── skills/          # Skill files
│       ├── analyze/
│       │   └── SKILL.md
│       └── build/
│           ├── SKILL.md
│           └── references/

Use Cases — Try These Prompts

Copy any prompt below into Claude Code after installing Harness:

Deep Research

Build a harness for deep research. I need an agent team that can investigate
any topic from multiple angles — web search, academic sources, community
sentiment — then cross-validate findings and produce a comprehensive report.

Website Development

Build a harness for full-stack website development. The team should handle
design, frontend (React/Next.js), backend (API), and QA testing in a
coordinated pipeline from wireframe to deployment.

Webtoon / Comic Production

Build a harness for webtoon episode production. I need agents for story
writing, character design prompts, panel layout planning, and dialogue
editing. They should review each other's work for style consistency.

YouTube Content Planning

Build a harness for YouTube content creation. The team should research
trending topics, write scripts, optimize titles/tags for SEO, and plan
thumbnail concepts — all coordinated by a supervisor agent.

Code Review & Refactoring

Build a harness for comprehensive code review. I want parallel agents
checking architecture, security vulnerabilities, performance bottlenecks,
and code style — then merging all findings into a single report.

Technical Documentation

Build a harness that generates API documentation from this codebase.
Agents should analyze endpoints, write descriptions, generate usage
examples, and review for completeness.

Data Pipeline Design

Build a harness for designing data pipelines. I need agents for schema
design, ETL logic, data validation rules, and monitoring setup that
delegate sub-tasks hierarchically.

Marketing Campaign

Build a harness for marketing campaign creation. The team should research
the target market, write ad copy, design visual concepts, and set up
A/B test plans with iterative quality review.

Coexistence — Harness and Neighbors

Harness is not alone in the Claude Code / agent-framework ecosystem. The following repos live in adjacent layers; each is described in a parallel "X is …, Harness is …" form so you can pick the one that fits your need or combine several.

RepoTheir positionRelationship to Harness
coleam00/Archon"harness builder" — deterministic, repeatable runtime configurationsSame L3, neighbor sub-layer. Archon is a Runtime-Configuration Factory, Harness is a Team-Architecture Factory. Pick Archon for runtime determinism, Harness for team architecture, or combine them.
SaehwanPark/meta-harnessCodex port of the same conceptSame L3, different runtime. Use Harness on Claude Code, meta-harness on Codex.
affaan-m/ECC"Agent harness performance & workflow layer" (sits on top of existing harnesses)Different layer. ECC is a standardization layer across harnesses; Harness is a factory that generates harnesses. Serial combination possible.
wshobson/agentsSubagent / skill catalog (182 agents, 149 skills)Factory ↔ parts supply. wshobson is a catalog to shop from; Harness designs the team. Absorb wshobson entries as parts inside a Harness-generated team.
LangGraphState-graph orchestration, LLM-agnosticDifferent track. LangGraph is for long-running, state-recoverable orchestration; Harness is for fast Claude-Code-native team design.

Built with Harness

Harness 100

revfactory/harness-100 — 100 production-ready agent team harnesses across 10 domains, available in both English and Korean (200 packages total). Each harness ships with 4-5 specialist agents, an orchestrator skill, and domain-specific skills — all generated by this plugin. 1,808 markdown files covering content creation, software development, data/AI, business strategy, education, legal, health, and more.

Research: A/B Testing Harness Effectiveness

revfactory/claude-code-harness — A controlled experiment across 15 software engineering tasks measuring the impact of structured pre-configuration on LLM code agent output quality.

MetricWithout HarnessWith HarnessImprovement
Average Quality Score49.579.3+60%
Win Rate100% (15/15)
Output Variance-32%

Key finding: effectiveness scales with task complexity — the harder the task, the greater the improvement (+23.8 Basic, +29.6 Advanced, +36.2 Expert).

Exact phrasing to use everywhere: +60% avg quality (49.5 → 79.3), 15/15 win-rate, −32% variance (n=15, author-measured A/B, third-party replications pending).

Full paper: Hwang, M. (2026). Harness: Structured Pre-Configuration for Enhancing LLM Code Agent Output Quality.

Requirements

FAQ

Q1. Isn't "+60%" oversold?

A. The +60% figure comes from an author-measured A/B (n=15, 15 tasks, measured on the sister repo claude-code-harness). Every citation in this repo pairs the number with the disclosure "n=15, author-measured, third-party replications pending" in the same sentence. For adoption decisions, we recommend running a 2–4 week internal pilot and measuring your own numbers.

Evidence:

  • Author A/B: revfactory/claude-code-harness
  • Paper: Hwang, M. (2026). Harness: Structured Pre-Configuration for Enhancing LLM Code Agent Output Quality
Q2. Why "harness factory" and not "harness builder"? Isn't this competing with Archon?

A. Archon generates deterministic runtime configurations — it's a Runtime-Configuration Factory. Harness generates agent team architectures (team structure, message protocols, review gates) — it's a Team-Architecture Factory. They are neighbor sub-layers of the same L3 Meta-Factory and serve different needs. Pick Archon for runtime determinism, Harness for team-architecture patterns, or combine them (design architecture with Harness → deploy runtime with Archon).

Evidence:

Q3. Isn't "Claude Code only" too narrow? What about Gemini/Codex?

A. Currently the official runtime is Claude Code only. A Codex port of the same concept — SaehwanPark/meta-harness — is already public, so Codex teams can start there. Harness chose "Claude-Code-native, deep" over "multi-runtime, shallow"; cross-runtime collaboration with sibling repos (meta-harness, harness-init, OpenRig) is on the roadmap.

Evidence:

License

Apache 2.0

Frequently Asked Questions

What is harness?

harness is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by revfactory. A meta-skill that designs domain-specific agent teams, defines specialized agents, and generates the skills they use. It has 8,816 GitHub stars.

Is harness safe to use?

Yes. harness passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.

How do I install harness?

Clone the repository with "git clone https://github.com/revfactory/harness" and add it to your Claude Code skills directory (see the Installation section above).

What programming language is harness written in?

harness is primarily written in HTML. It is open-source under revfactory on GitHub, so you can review or fork the full source.

Are there alternatives to harness?

Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh harness against similar tools.

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