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agent-harness-generator

Skill Development Usable

๐Ÿ› ๏ธ The meta-harness for AI agents โ€” scaffold your own focused, branded agent harness with its own npx CLI, MCP server, memory, learning loop, and witness-signed releases. Works with Claude Code, Codex, pi.dev, Hermes, OpenClaw, and RVM (hardware-isolated).

135 starsMIT (commercial OK)FreeQuick setup
Usable rating โ€” This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Reduces time-to-deployment for specialized AI agents by auto-generating production-ready harnesses with CLI, memory, and release infrastructure, eliminating boilerplate and standardizing agent architecture across teams.

Platform engineering teams building internal AI agent ecosystems or multi-agent deployment infrastructure.

Claude Code Claude Cowork Claude Chat

https://github.com/ruvnet/agent-harness-generator

By ruvnet

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.
Command
claude plugins install ruvnet/agent-harness-generator

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

CostFree

Trust Signals Auto-scanned

Stars135Last updated2026-06-17LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-06-17 · scanner v1

Community Pulse New

No community discussions found yet. This doesn't mean the tool isn't good โ€” it may be new or serve a niche use case.

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 135 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

How to evaluate tools before deploying โ†’

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
3/5
Versatility
3/5
Reliability
3/5
Security
3/5
Overall score3.00 / 5.00 UsableEvaluatedJun 2026
Scored from trust signals (evidence-eval-v1): 135 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

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