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 study8677 · MCP Server · ★ 1.3k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is antigravity-workspace-template safe to install? View the security audit →
Antigravity Workspace Template Production-grade starter kit for autonomous AI agents. Works with any AI IDE · Any CLI · Any LLM Language: English Español [ server
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antigravity-workspace-template is Give Claude Code, Cursor, Codex CLI a ChatGPT for your codebase. Multi-agent knowledge engine, grounded Q&A with file paths and line numbers. Works in any AI IDE.. It is categorized as a MCP Server with 1.3k GitHub stars.
antigravity-workspace-template is primarily written in Python. It covers topics such as agents-sdk, ai-agent, claude-code.
You can find installation instructions and usage details in the antigravity-workspace-template GitHub repository at github.com/study8677/antigravity-workspace-template. The project has 1.3k stars and 259 forks, indicating an active community.
antigravity-workspace-template is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to antigravity-workspace-template on Agent Skills Hub include jcodemunch-mcp, octocode, code-graph-rag. 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.
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