autopus-adk: Of the agents, by the agents

by Insajin · Codex Skill · ★ 111

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

How to install autopus-adk

brew install insajin/tap/autopus-adk
go install github.com/Insajin/autopus-adk/cmd/auto@latest

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 62/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

agent-frameworkagentic-aiai-agentsautomationclaude-codeclicodexcoding-agentsdeveloper-toolsgemini-cli

Quick Facts

Stars111
Forks73
LanguageGo
CategoryCodex Skill
LicenseMIT
Quality Score62/100
Last Updated2026-09-10
Created2026-03-20
Platformsclaude-code, cli, codex, gemini, go
Est. Tokens~27k

About autopus-adk

🐙 Autopus-ADK A harness of the agents, by the agents, for the agents. Make your AI coding tools (Claude Code, Codex, Antigravity CLI, OpenCode) work like a real engineering team — with planning, testing, code review, and security audits built in. 16 agents. 40 skills. One config. Every platform.

Compatible Skills

These tools work well together with autopus-adk for enhanced workflows:

  • gollem — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (56%)
  • AgenticGoKit — semantic(0.29)+complementary+same_lang+similar_pop+shared_platform (55%)
  • orloj — semantic(0.24)+complementary+same_lang+similar_pop+shared_platform (53%)

autopus-adk alternative? Top 6 similar tools

Looking for a autopus-adk alternative? If you're comparing autopus-adk 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.

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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