agy-staff: Hire Google's Antigravity CLI (agy) as a fast Gemini staffer for Claude Code and OpenAI Codex

by keli-wen · Claude Skill · ★ 811

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

How to install agy-staff

claude plugin install agy@agy-staff

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 69/100

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. Full audit →

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-evaluationagentic-aiai-agentsantigravityantigravity-clibenchmarkclaude-codeclaude-code-plugincode-reviewcodex

Quick Facts

Stars811
Forks56
LanguageJavaScript
CategoryClaude Skill
LicenseMIT
Quality Score69/100
Open Issues3
Last Updated2026-11-02
Created2026-08-18
Platformsclaude-code, cli, codex, gemini, node
Est. Tokens~15k

About agy-staff

English | Simplified Chinese Hire Google's Antigravity CLI () as a staffer for Claude Code, OpenAI Codex, and Pi. Install · Examples · Core design · Upgrade What & Why agy-staff lets your senior agents delegate to , which ships fast Gemini 3.8 Flash. Five personas: staffer (general-purpose), researcher, reviewer (code and plans/decisions), implementer, and ask — plus a model-facing jobs skill.

Compatible Skills

These tools work well together with agy-staff for enhanced workflows:

  • cc-plugin-codex — semantic(0.34)+complementary+shared_fw(openai)+same_lang+similar_pop+shared_platform (70%)
  • oh-my-antigravity — semantic(0.44)+complementary+rare_topics+same_lang+similar_pop+shared_platform (70%)

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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 Claude Skill tools