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 yuting0624 · Claude Skill · ★ 351
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is antigravity-for-claude-code safe to install? View the security audit →
🛰️ Antigravity for Claude Code Run the Antigravity CLI (Gemini) as a collaborating sub-agent, right inside Claude Code. Claude conducts the judgement; Gemini does the heavy lifting — intelligent model routing across the SDLC. ⚡ Quick look Claude stays the conductor; the bulk, token-heavy read ran on cheaper Gemini, and Claude verified the result. 💡 Why Generation is solved; ver
| Stars | 351 |
| Forks | 31 |
| Language | Shell |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 62.6042546033722/100 |
| Open Issues | 8 |
| Last Updated | 2026-09-19 |
| Created | 2026-06-19 |
| Platforms | claude-code, cli, gemini |
| Est. Tokens | ~14k |
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antigravity-for-claude-code is Claude Code plugin: run the Antigravity CLI (Gemini) as a collaborating sub-agent with intelligent model routing across the SDLC. Community project; not affiliated with Google/Anthropic.. It is categorized as a Claude Skill with 351 GitHub stars.
antigravity-for-claude-code is primarily written in Shell. It covers topics such as agy-cli, antigravity-cli, claude-code.
You can find installation instructions and usage details in the antigravity-for-claude-code GitHub repository at github.com/yuting0624/antigravity-for-claude-code. The project has 351 stars and 31 forks, indicating an active community.
antigravity-for-claude-code is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to antigravity-for-claude-code on Agent Skills Hub include aisw, CodexFlow, awesome-llm-skills. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
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: