HiClaw — security grade SAFE, quality 70/100

Security audit verdict: SAFE · quality 70/100

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 agentscope-ai · Codex Skill · ★ 4.9k

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

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

About HiClaw

English 日本語 <img src="https://img.shields.io/badge/DeepWiki-AskAI-navy.svg?logo=data:image/png;base64,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

agent-teamsopenclaw

Quick Facts

Stars4,901
Forks581
LanguageGo
CategoryCodex Skill
LicenseApache-2.0
Quality Score69.943072813152/100
Open Issues277
Last Updated2026-06-23
Created2026-02-21
Platformsgo
Est. Tokens~18k

Compatible Skills

These tools work well together with HiClaw for enhanced workflows:

  • hiclaw — semantic(1.00)+rare_topics+same_lang+similar_pop+shared_platform (65%)
  • gemini-skill — semantic(0.16)+complementary+similar_pop+shared_platform (46%)

HiClaw alternative? Top 6 similar tools

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

  • hiclaw by alibaba · ⭐ 3.4k

    An open-source Collaborative Multi-Agent OS for transparent, human-in-the-loop task coordination via Matrix ro

  • BitFun by GCWing · ⭐ 2.1k

    OpenBitFun combines a high-performance agent runtime written in Rust with a polished desktop application. It p

  • memU by NevaMind-AI · ⭐ 14.5k

    Personal memory across agents

  • Upsonic by Upsonic · ⭐ 8.0k

    Build autonomous AI agents in Python.

  • AI-Infra-Guard by Tencent · ⭐ 6.4k

    A full-stack AI Red Teaming platform securing AI ecosystems via OpenClaw Security Scan, Agent Scan, Skills Sca

  • deepchat by ThinkInAIXYZ · ⭐ 6.4k

    🐬DeepChat - A smart assistant that connects powerful AI to your personal world

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Frequently Asked Questions

What is HiClaw?

HiClaw is An open-source Collaborative Multi-Agent OS for transparent, human-in-the-loop task coordination via Matrix rooms.. It is categorized as a Codex Skill with 4.9k GitHub stars.

What programming language is HiClaw written in?

HiClaw is primarily written in Go. It covers topics such as agent-teams, openclaw.

How do I install or use HiClaw?

You can find installation instructions and usage details in the HiClaw GitHub repository at github.com/agentscope-ai/HiClaw. The project has 4.9k stars and 581 forks, indicating an active community.

What license does HiClaw use?

HiClaw 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 HiClaw?

The top alternatives to HiClaw on Agent Skills Hub include hiclaw, BitFun, memU. 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 Codex Skill tools