harness
A meta-skill that designs domain-specific agent teams, defines specialized agents, and generates the skills they use.
Install / Use
npx skills add revfactory/harnessInstalls into whichever agent you are using.
CLAUDE.md
Claude Code project instructions
Quality Score
Category
Development & EngineeringSupported Platforms
Our assessment of harness
harness scores 94/100 on our quality scale, 417th of 4,614 Development & Engineering skills we index (top 10%).
Its CLAUDE.md is 14 KB long, well organised into 25 sections with 15 code examples: a thorough specification that gives an agent plenty to work with.
With 9,333 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 39 days ago, so harness is actively maintained.
- Our last check on 2026-10-17 found the source still online.
- It is released under the Apache-2.0 license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.
AI review by kimi-k2.7-code on 2026-09-24. Automated pattern scan on 2026-09-24. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
harness compared with similar skills
All 4 of these similar skills score higher than harness; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| harness (this skill)by revfactory | 94 | 9.3k | 39d ago | CLAUDE.md |
| claude-memby thedotmack | 100 | 113.8k | today | CLAUDE.md |
| taste-skillby Leonxlnx | 100 | 111.0k | 1d ago | CLAUDE.md |
| Agent-Reachby Panniantong | 100 | 109.5k | 1d ago | CLAUDE.md |
| Understand-Anythingby Egonex-AI | 100 | 91.0k | today | CLAUDE.md |
Frequently asked questions
- How do I install harness?
- Run
npx skills add revfactory/harness. The install tabs above show the steps for each supported agent. - Which AI agents does harness work with?
- It is written for Claude Code and Zed, as a CLAUDE.md file. Other agents that read the same format can often use it too.
- Is harness safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It is Apache-2.0-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is harness still maintained?
- The repository was last updated 39 days ago, so harness is actively maintained.
Skill content
View source on GitHubHarness — The Team-Architecture Factory for Claude Code
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.
| Layer | What it does | Neighbors 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 Factory | Deterministic, repeatable runtime configurations | coleam00/Archon | | L3 — Meta-Factory / Codex Runtime Port | Same concept, Codex runtime | SaehwanPark/meta-harness | | L2 — Cross-Harness Workflow | Standardize skills/rules/hooks across multiple harnesses | affaan-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
<a href="https://www.star-history.com/?repos=revfactory%2Fharness&type=date&legend=top-left"> <picture> <source media="(prefers-color-scheme: dark)" srcset="https://api.star-history.com/chart?repos=revfactory/harness&type=date&theme=dark&legend=top-left" /> <source media="(prefers-color-scheme: light)" srcset="https://api.star-history.com/chart?repos=revfactory/harness&type=date&legend=top-left" /> <img alt="Star History Chart" src="https://api.star-history.com/chart?repos=revfactory/harness&type=date&legend=top-left" /> </picture> </a>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
| Mode | Description | Recommended For | |------|-------------|-----------------| | Agent Teams (default) | TeamCreate + SendMessage + TaskCreate | 2+ agents requiring collaboration | | Subagents | Direct Agent tool invocation | One-off tasks, no inter-agent communication needed |
<p align="center"> <img src="harness_team.png" alt="Harness Agent Team" width="500"> </p>Architecture Patterns
| Pattern | Description | |---------|-------------| | Pipeline | Sequential dependent tasks | | Fan-out/Fan-in | Parallel independent tasks | | Expert Pool | Context-dependent selective invocation | | Producer-Reviewer | Generation followed by quality review | | Supervisor | Central agent with dynamic task distribution | | Hierarchical Delegation | Top-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.
| Repo | Their position | Relationship to Harness | |------|----------------|-------------------------| | coleam00/Archon | "harness builder" — deterministic, repeatable runtime configurations | Same 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-harness | Codex port of the same concept | Same 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/agents | Subagent / 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. | | LangGraph | State-graph orchestration, LLM-agnostic | Different 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.
| Metric | Without Harness | With Harness | Improvement | |--------|:-:|:-:|:-:| | Average Quality Score | 49.5 | 79.3 | +60% | | Win Rate | — | — | 100% (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
Truncated for display — read the full file on GitHub.
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
