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Harness (Agent Team Designer)

Skill Productivity Solid
Works inClaude Code
Solid Reviewed

Multi-agent orchestration is a core enterprise AI architecture pattern — a meta-skill that designs the right team topology for any project reduces the expert…

Meta-skill that designs domain-specific agent teams for Claude Code using six architectural patterns: Pipeline, Fan-out/Fan-in, Expert Pool, Producer-Reviewer, Supervisor, and Hierarchical Delegation. Say "build a harness for this project" and it generates agent definitions (.claude/agents/) and skills (.claude/skills/) tailored to your domain.

8,567 starsApache-2.0 (commercial OK)FreeQuick setup

Multi-agent orchestration is a core enterprise AI architecture pattern — a meta-skill that designs the right team topology for any project reduces the expertise required to deploy agentic systems.

AI architects and senior developers building complex multi-agent systems who need a structured approach to decomposing work across specialized agents.

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https://github.com/revfactory/harness

By revfactory

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Instructions to paste into Claude
/plugin marketplace add revfactory/harness
/plugin install harness@harness-marketplace

# Or install directly as a global skill:
cp -r skills/harness ~/.claude/skills/harness
First thing to try

After installing, paste this into Claude:

Help me design a team of specialized agents for a complex project
Time to functional15 minutesCostFree

Trust Signals Reviewed

Stars8,567Contributors6Last updated2026-07-24LicenseApache-2.0 (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-07-31 · scanner vattempted-no-data

Community Pulse Active

Discussed on Hacker News, Reddit

3 mentions across 1 sources

Reviewer notes

Reviewed review. These are observations, not a security certification.

audit 2026-07-05 stale-eval refresh: Scored from trust signals (evidence-eval-v1): 8,207 GitHub stars; 2 contributors; last commit 25d ago; license Apache-2.0.

2026-05-10: Useful for getting a multi-agent architecture off the ground faster—you describe a domain problem and Harness maps it to one of six team topologies, then spits out agent definitions and skill stubs. In practice, that scaffolding saves the whiteboard argument but not the real work: the generated files are starting points, not production-ready configs, and vague requirements produce generic output you'll spend time unwinding anyway. With only 2 contributors and 2 production mentions despite strong star growth, treat this as a design accelerator for architects who already know what they're doing, not a turnkey solution for teams new to agentic systems.

2026-04-02: LIMITATION: Generates agent topology blueprints but doesn't validate that generated agents actually work. Outputs require hands-on testing before production use.

Things to check

  • Output quality depends on domain clarity; vague requirements produce generic scaffolding requiring significant manual refinement. Patterns are templates—actual skill logic and inter-agent coordination still require domain expertise and testing.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
4/5
Versatility
5/5
Reliability
3/5
Security
3/5
Overall score3.85 / 5.00 SolidEvaluatedJul 2026
audit 2026-07-05 stale-eval refresh: Scored from trust signals (evidence-eval-v1): 8,207 GitHub stars; 2 contributors; last commit 25d ago; license Apache-2.0.

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