How do I install the Etool LLM skill?

Run npx skillmds@latest add jiangyangcreate/etool-llm in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Etool LLM safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: reads secrets. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Etool LLM?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Etool LLM free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Etool LLM?

jiangyangcreate (@jiangyangcreate) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Etool LLM by jiangyangcreate — Agent Skill

Name: Etool LLM
Rating: 4.666666666666667 (3 reviews)
Author: jiangyangcreate

Etool LLM

One-shot LLM calls against any OpenAI-compatible endpoint — chat, text summarization, and JSON outline extraction — via the etool CLI. Use when the user wants to summarize or outline text, or send a single prompt to an LLM from the command line.

File contents

LLM helpers with etool

Requires the etool CLI: pip install etool (verify with etool --json version).

Always pass --json: stdout is exactly one envelope, either {"ok": true, "data": {...}} or {"ok": false, "error": {"code", "message", "details"}}.

Credentials

Resolved in order: explicit flags (--api-key, --base-url, --model) → ETOOL_LLM_API_KEY / ETOOL_LLM_BASE_URL / ETOOL_LLM_MODEL → OPENAI_API_KEY / OPENAI_BASE_URL / OPENAI_MODEL. All three values are required; a VALIDATION_ERROR with details.missing tells you which are absent. Prefer environment variables over passing secrets on the command line.

Commands

Single-turn chat (reply in data.text):

etool --json llm chat "Explain CAP theorem in one paragraph" --system "Be concise" --temperature 0.2

Summarize text in its own language (inline text or --file; result in data.summary):

etool --json llm summarize --file article.txt --min-words 50 --max-words 150

Extract a structured outline as JSON (data.outline with main_title / sections / points):

etool --json llm outline --file article.txt

Frequently asked questions