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 Ontos-AI · Codex Skill · ★ 3.3k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is knowhere safe to install? View the security audit →
Prepare unstructured data for AI Agents <img alt="License: Apache 2.0" src="https://img.shields.io/badge/APACHE%202.0-D97
| Stars | 3,310 |
| Forks | 319 |
| Language | Python |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 70.0218464170635/100 |
| Open Issues | 40 |
| Last Updated | 2026-09-15 |
| Created | 2026-04-30 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~16k |
These tools work well together with knowhere for enhanced workflows:
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knowhere is Knowhere extracts, parses, and outputs structured chunks ready for AI Agents and RAG.. It is categorized as a Codex Skill with 3.3k GitHub stars.
knowhere is primarily written in Python. It covers topics such as agent-harness, ai-agents, claude-code.
You can find installation instructions and usage details in the knowhere GitHub repository at github.com/Ontos-AI/knowhere. The project has 3.3k stars and 319 forks, indicating an active community.
knowhere is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to knowhere on Agent Skills Hub include oh-my-agent, holaOS, cursor-talk-to-figma-mcp. 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: