No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by ruvnet · MCP Server · ★ 343
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is agent-harness-generator safe to install? View the security audit →
MetaHarness Mint a custom AI agent harness from any repo. · open the Studio → (Repo: · CLI: · Library: ) What this is Every serious repo deserves its own agent. A repo-aware CLI, a repo-aware coding agent, a local MCP server, memory scoped to the project, skills generated from the actual file layout, governance policy, release verification, witness-signed provenance. mints those, on demand, from a GitHub URL or a bla
| Stars | 343 |
| Forks | 35 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 68.1674003936458/100 |
| Open Issues | 13 |
| Last Updated | 2026-06-29 |
| Created | 2026-06-13 |
| Platforms | claude-code, cli, codex, mcp, node |
| Est. Tokens | ~19k |
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agent-harness-generator is 🛠️ The meta-harness for AI agents — 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, Code. It is categorized as a MCP Server with 343 GitHub stars.
agent-harness-generator is primarily written in TypeScript. It covers topics such as agent-harness, agent-harness-generator, agent-scaffolding.
You can find installation instructions and usage details in the agent-harness-generator GitHub repository at github.com/ruvnet/agent-harness-generator. The project has 343 stars and 35 forks, indicating an active community.
agent-harness-generator is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to agent-harness-generator on Agent Skills Hub include turbo-flow, commonly, memorix. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: