harness — security grade SAFE, quality 71/100

Security audit verdict: SAFE · quality 71/100

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 revfactory · Claude Skill · ★ 9.1k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is harness safe to install? View the security audit →

About harness

Harness Agent Team & Skill Architect — A Claude Code Plugin 한국어 A meta-skill that designs domain-specific agent teams, defines specialized agents, and generates the skills they use. 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 () and skills () tailored to your domain. 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 Installation Via Marketplace Add the marketplace shell /plugin marketplace add revfactory/harness

claude-codeclaude-code-pluginharnessharness-engineering

Quick Facts

Stars9,082
Forks1,289
CategoryClaude Skill
LicenseApache-2.0
Quality Score70.8148053485479/100
Open Issues1
Last Updated2026-09-28
Created2026-03-26
Platformsclaude-code
Est. Tokens~17k

Compatible Skills

These tools work well together with harness for enhanced workflows:

  • Ay-Skills — semantic(0.19)+complementary+same_lang+similar_pop+shared_platform (52%)
  • claude-code-teams-mcp — semantic(0.46)+complementary+similar_pop+shared_platform (51%)
  • x64dbg-skills — semantic(0.19)+complementary+similar_pop+shared_platform (47%)

harness alternative? Top 6 similar tools

Looking for a harness alternative? If you're comparing harness with other claude skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • agents by wshobson · ⭐ 40.1k

    Multi-harness agentic plugin marketplace for Claude Code, Codex, Cursor, OpenCode, GitHub Copilot, Google Anti

  • pydantic-ai by pydantic · ⭐ 20.4k

    How Python does AI. Agents, realtime voice, image generation, embeddings. Every model, every interface, typed

  • hive by aden-hive · ⭐ 11.0k

    Multi-Agent Harness for Production AI

  • nexent by ModelEngine-Group · ⭐ 5.9k

    Nexent is a zero-code platform for auto-generating production-grade AI agents using Harness Engineering princi

  • arscontexta by agenticnotetaking · ⭐ 3.5k

    Claude Code plugin that generates individualized knowledge systems from conversation. You describe how you thi

  • pro-workflow by rohitg00 · ⭐ 2.9k

    Claude Code learns from your corrections: self-correcting memory that compounds over 50+ sessions. Context eng

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Frequently Asked Questions

What is harness?

harness is A meta-skill that designs domain-specific agent teams, defines specialized agents, and generates the skills they use.. It is categorized as a Claude Skill with 9.1k GitHub stars.

How do I install or use harness?

You can find installation instructions and usage details in the harness GitHub repository at github.com/revfactory/harness. The project has 9.1k stars and 1289 forks, indicating an active community.

What license does harness use?

harness is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to harness?

The top alternatives to harness on Agent Skills Hub include agents, pydantic-ai, hive. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

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:

View on GitHub → Browse Claude Skill tools