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metaharness

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 sandbox).

344 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 custom AI agents by providing pre-built infrastructure (CLI, MCP server, memory, release signing), enabling teams to focus on agent logic rather than scaffolding and operational concerns.

Engineering teams building internal AI agents or automation tools needing standardized CLI interfaces and production-grade release management.

Claude Code Claude Cowork Claude Chat

https://github.com/ruvnet/metaharness

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/metaharness

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

CostFree

Trust Signals Auto-scanned

Stars344Last updated2026-06-29LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-06-29 · scanner v1

Community Pulse New

0 mentions across 0 sources

Reviewer notes

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

Scored from trust signals (evidence-eval-v1): 344 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
4/5
Reliability
3/5
Security
3/5
Overall score3.25 / 5.00 UsableEvaluatedJun 2026
Scored from trust signals (evidence-eval-v1): 344 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

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