aiwg — security grade SAFE, quality 68/100

Security audit verdict: SAFE · quality 68/100

Flagged: sudo usage. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by jmagly · Codex Skill · ★ 211

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

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

About aiwg

AIWG Multi-agent AI framework for Claude Code, Copilot, Cursor, Warp, and 6 more platforms 200+ agents, 67+ CLI commands, 400+ deployable agent/skill/command/rule artifacts, 8 core frameworks + training marketplace plugin, 27 addons. SDLC workflows, digital forensics, research management, marketing operations, media curation, ops infrastructure, knowledge base, and fine-tuning dataset curation — all deployable with one command. macOS users: if npm fails with under , use the macOS Install Guide. [![10 Platforms](https://im

agentic-codingai-frameworkanthropicautonomous-agentsclaude-codecodexcopilotcursordeveloper-toolsfine-tuning

Quick Facts

Stars211
Forks33
LanguageTypeScript
CategoryCodex Skill
LicenseMIT
Quality Score67.5860175705601/100
Open Issues27
Last Updated2026-09-21
Created2025-08-14
Platformsclaude-code, codex, node
Est. Tokens~26k

Compatible Skills

These tools work well together with aiwg for enhanced workflows:

  • oh-my-claudecode — semantic(0.24)+complementary+rare_topics+same_lang+shared_platform (53%)
  • platform — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (53%)
  • gemini-flow — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (52%)

aiwg alternative? Top 6 similar tools

Looking for a aiwg alternative? If you're comparing aiwg 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.

  • palot by ItsWendell · ⭐ 187

    Just another desktop client for OpenCode 2. Manage projects, sessions, parallel agents, requests, and changes

  • sub-agents-mcp by shinpr · ⭐ 98

    Define task-specific AI sub-agents in Markdown for any MCP-compatible tool.

  • SWE-AF by Agent-Field · ⭐ 1.0k

    Autonomous software engineering fleet of AI agents for production-grade PRs on AgentField: plan, code, test, a

  • agentsys by agent-sh · ⭐ 984

    AI writes code. This automates everything else · 24 plugins · 49 agents · 44 skills · for Claude Code, OpenCod

  • Overture by SixHq · ⭐ 641

    Overture is an open-source, locally running web interface delivered as an MCP (Model Context Protocol) server

  • compose-skill by aldefy · ⭐ 561

    Jetpack Compose Agent Skill — AI-powered coding guidance with actual androidx/androidx source code receipts. W

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Frequently Asked Questions

What is aiwg?

aiwg is Cognitive architecture for AI-augmented software development. Specialized agents, structured workflows, and multi-platform deployment. Claude Code · Codex · Copilot · Cursor · Factory · Warp · Windsur. It is categorized as a Codex Skill with 211 GitHub stars.

What programming language is aiwg written in?

aiwg is primarily written in TypeScript. It covers topics such as agentic-coding, ai-framework, anthropic.

How do I install or use aiwg?

You can find installation instructions and usage details in the aiwg GitHub repository at github.com/jmagly/aiwg. The project has 211 stars and 33 forks, indicating an active community.

What license does aiwg use?

aiwg is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to aiwg?

The top alternatives to aiwg on Agent Skills Hub include palot, sub-agents-mcp, SWE-AF. 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