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 cocoindex-io · Claude Skill · ★ 75
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🔒 Is cocoindex-claude safe to install? View the security audit →
CocoIndex Claude Code Skill A Claude Code skill for developing with the CocoIndex library - build data transformation pipelines, create custom functions, and operate flows via CLI or API. Star CocoIndex) if you like it! 👉 Use the canonical skill for CocoIndex v1 The canonical, up-to-date skill for CocoIndex v1 lives in the main CocoIndex repo: https://github.com/cocoindex-io/cocoindex/tree/main/skills/cocoindex The recommended way to install it is with : Please use that skill — it tracks the latest CocoIndex API and is actively maintained. Legacy plugin installation The plugin-marketplace install below remains available, but the upstream skill above is preferred: What is CocoIndex? CocoIndex is an ultra-performant real-time data transformation framework for AI with incremental processing. It enables building indexing flows that extract data from sources, apply transformations, and export to targets
| Stars | 75 |
| Forks | 9 |
| Category | Claude Skill |
| License | Apache-2.0 |
| Quality Score | 55.4814608008527/100 |
| Open Issues | 1 |
| Last Updated | 2026-05-29 |
| Created | 2025-10-20 |
| Platforms | claude-code |
| Est. Tokens | ~5k |
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cocoindex-claude is ✨ CocoIndex Claude Code Skill ✨. It is categorized as a Claude Skill with 75 GitHub stars.
You can find installation instructions and usage details in the cocoindex-claude GitHub repository at github.com/cocoindex-io/cocoindex-claude. The project has 75 stars and 9 forks, indicating an active community.
cocoindex-claude is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to cocoindex-claude on Agent Skills Hub include daymon, claudepro-directory, agent-designer. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.