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ktx

Skill Data & Analytics Solid

ktx is an executable context layer for data and analytics agents ๐Ÿ™ Allow Claude Code, Codex, and any AI agent to query data accurately through MCP with skills, memory and a semantic layer

835 starsApache-2.0 (commercial OK)FreeQuick setup

Enables AI agents to query data accurately and consistently through a standardized context layer, reducing hallucinations and improving reliability of analytics workflows while maintaining audit trails.

Data engineering teams integrating Claude or other AI agents into analytics pipelines requiring governed, repeatable query execution.

Claude Code Claude Cowork Claude Chat

https://github.com/Kaelio/ktx

By Kaelio

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
claude plugins install Kaelio/ktx

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

CostFree

Trust Signals Auto-scanned

Stars835Last updated2026-06-03LicenseApache-2.0 (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-06-03 · scanner v1

Community Pulse Emerging

Discussed on Hacker News

2 mentions across 1 sources

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 835 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.

How to evaluate tools before deploying โ†’

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
4/5
Versatility
4/5
Reliability
3/5
Security
3/5
Overall score3.60 / 5.00 SolidEvaluatedJun 2026
Scored from trust signals (evidence-eval-v1): 835 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.

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