Is the KTX — Data Context Layer skill free?

Yes. The skill itself is free from Kaelio/ktx. SkillProof publishes the install command and an independent test verdict at no cost.

What is the KTX — Data Context Layer SkillProof Score?

7.6/10 — installs cleanly 4/5, triggers reliably 5/5, output vs. baseline 5/10, docs & honesty 5/5.

How do I install KTX — Data Context Layer?

Copy the install command from this page, run it in your terminal, and restart Claude Code. Skills live in ~/.claude/skills/ (global) or .claude/skills/ inside a project.

Can I use KTX — Data Context Layer with Cursor, Copilot, Gemini CLI, Codex or other AI tools?

The SKILL.md format is native to Claude (Claude Code, Desktop, claude.ai). The instructions inside adapt to other assistants: Cursor rules, GitHub Copilot instructions, Windsurf rules, Custom GPTs, AGENTS.md for OpenAI Codex, and GEMINI.md for Google Gemini CLI — our conversion guides cover each, and the free converter on the tools page does the wrapping for you.

KTX — Data Context Layer

Drives non-interactive install/config of the ktx data-context CLI, incl. secret handling

by Kaelio · Kaelio/ktx

Works with setup

Install — copy the command Download source ↗

Test report

Verdict: Works with setup
Score: 7.6/10
Tested: Jul 20, 2026
Environment: Claude Code 2.x (agent harness)
Upstream re-checked: Aug 10, 2026 · 5560aba

Full SKILL.md read; self-contained instructions, no broken relative refs. This is by nature a setup/config skill — its value is driving `ktx setup` with intentionally-hidden non-interactive flags plus safe secret externalization (file: refs over env:, chmod 600, never commit .ktx/secrets). OUTPUT vs baseline NOT measured: executing it requires the ktx CLI, a database connection, and API keys — none installable/runnable here without external download. Docs are strong and footgun-aware (explains why env: refs silently resolve empty in the mcp daemon shell; warns slow ingests look like hangs). Verdict setup: legitimate, well-documented, but inherently gated behind an external CLI + live data source.

Scored on four weighted criteria — install, triggering, output vs. baseline, docs. How scoring works

Installs cleanly 4/5
Triggers reliably 5/5
Output vs. baseline 5/10
Docs & honesty 5/5

What KTX — Data Context Layer does

Teaches an agent to install and configure `ktx` (an open-source context layer for data agents) non-interactively — the hidden `--no-input` setup flags, database/embedding backend selection, source connections, and file: vs env: secret refs. Triggers when a user asks an agent to add ktx to a project, connect data sources, install agent integration, ingest schema, or troubleshoot a local ktx install. Runtime needs the ktx CLI plus real data sources/keys.

How to install KTX — Data Context Layer

git clone https://github.com/Kaelio/ktx.git
mkdir -p ~/.claude/skills
cp -r ktx/skills/ktx ~/.claude/skills/ktx
# runtime dependency: the ktx CLI + a data source

Skills live in ~/.claude/skills/ (global) or .claude/skills/ (per-project). Restart Claude Code after installing.

Commands — how to trigger KTX — Data Context Layer

/ktx Drives non-interactive install/config of the ktx data-context CLI, incl. secret handling

It also activates on plain-language prompts like these:

Let Claude query our analytics database with full company context
Set up ktx so the agent understands our data warehouse schema
Give Claude accurate context before it queries this database

Frequently asked questions

Is the KTX — Data Context Layer skill free?: Yes. The skill itself is free from Kaelio/ktx. SkillProof publishes the install command and an independent test verdict at no cost.
Does KTX — Data Context Layer work with Claude Code?: We tested it with Claude Code 2.x (agent harness) on Jul 20, 2026. Verdict: Works with setup. Full SKILL.md read; self-contained instructions, no broken relative refs. This is by nature a setup/config skill — its value is driving `ktx setup` with intentionally-hidden non-interactive flags plus safe secret externalization (file: refs over env:, chmod 600, never commit .ktx/secrets). OUTPUT vs baseline NOT measured: executing it requires the ktx CLI, a database connection, and API keys — none installable/runnable here without external download. Docs are strong and footgun-aware (explains why env: refs silently resolve empty in the mcp daemon shell; warns slow ingests look like hangs). Verdict setup: legitimate, well-documented, but inherently gated behind an external CLI + live data source.
What is the KTX — Data Context Layer SkillProof Score?: 7.6/10 — installs cleanly 4/5, triggers reliably 5/5, output vs. baseline 5/10, docs & honesty 5/5.
How do I install KTX — Data Context Layer?: Copy the install command from this page, run it in your terminal, and restart Claude Code. Skills live in ~/.claude/skills/ (global) or .claude/skills/ inside a project.
Can I use KTX — Data Context Layer with Cursor, Copilot, Gemini CLI, Codex or other AI tools?: The SKILL.md format is native to Claude (Claude Code, Desktop, claude.ai). The instructions inside adapt to other assistants: Cursor rules, GitHub Copilot instructions, Windsurf rules, Custom GPTs, AGENTS.md for OpenAI Codex, and GEMINI.md for Google Gemini CLI — our conversion guides cover each, and the free converter on the tools page does the wrapping for you.