CLI

CLI is a skill for Claude Code, Codex from agentic-in/elephant-agent. It costs 71 tokens per session (1,264 once invoked), scanned C, original, no licence file.

A terminal interface for running more than 150 AI applications through the inference.sh command-line tool.

In plain words
What is it for?
Use it for image and video generation, language models, search, 3D work, and social-media automation, including tools such as Flux, Veo, Tavily, Seedream, and Seedance.
Why use it?
It puts different AI services in one command-line workflow instead of requiring separate interfaces for each task.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use it for image and video generation, language models, search, 3D work, and social-media automation, including tools such as Flux, Veo, Tavily, Seedream, and Seedance.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/agentic-in/elephant-agent/cli
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add agentic-in/elephant-agent --skill cli
Clone the repo
git clone --depth 1 https://github.com/agentic-in/elephant-agent

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for CLI

README.md
[![agentmods](https://agentmods.dev/badge/skills/agentic-in/elephant-agent/cli/github.svg)](https://agentmods.dev/skills/agentic-in/elephant-agent/cli)
Your own site
<a href="https://agentmods.dev/skills/agentic-in/elephant-agent/cli"><img src="https://agentmods.dev/badge/skills/agentic-in/elephant-agent/cli/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for CLI

Your own site · 80×15
<a href="https://agentmods.dev/skills/agentic-in/elephant-agent/cli"><img src="https://agentmods.dev/badge/skills/agentic-in/elephant-agent/cli.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 71 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,264 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 2 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00071 $0.01264
Opus 5.5 $0.00028 $0.00506
Sonnet 5.5 $0.00014 $0.00253
Haiku 4.5 $0.00007 $0.00126

Measured 1mo ago against content hash 7326324d12b4, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade C, and why

CLI scanned grade C with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Downloads and executes remote codehighSupply chain

curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.

curl -fsSL https://cli.inference.sh | sh

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -fsSL https://cli.inference.sh | sh
packages/skills/builtin_packages/devops/cli/SKILL.md · 153 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 153 lines · 71 tokens per session scan C 7326324d12b4

Subscribe to this mod's changes

CLI is a skill published in the GitHub repository agentic-in/elephant-agent (582 stars, last pushed 1mo ago), with no licence file. It adds 71 tokens to every session and 1,264 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

computer-history

Answer questions about what the user recently did on their computer — who contacted them, what they were working on, where they left off — by reading the local Computer History summaries and raw event streams.

MemTensor/memmy-agent · 42 tokens

cron

Schedule reminders and recurring tasks.

MemTensor/memmy-agent · 8 tokens

agentscope-java

Expert Java developer skill for AgentScope Java framework - a reactive, message-driven multi-agent system built on Project Reactor. Use when working with reactive programming, LLM integration, agent orchestration, multi-agent systems, or when the user mentions AgentScope, ReActAgent, Mono/Flux, Project Reactor, or…

agentscope-ai/agentscope-java · 91 tokens

sql-analysis

Answer a quantitative business question by writing a SQL query against the data warehouse, validating it, and presenting the result. Use when the user asks "how many...", "what's the trend of...", "compare X vs Y over...", "what's our top N...", or anything that resolves to a query against tabular data. Produces a…

agentscope-ai/agentscope-java · 79 tokens

apply-patch

Apply multi-file or tricky edits atomically with git apply instead of many fragile editfile calls. Use when changing several files at once or when editfile fails to match.

agentscope-ai/agentscope-java · 38 tokens

git-checkpoint

Use git as a safety net - create a checkpoint commit before risky or large changes and roll back cleanly if a change makes things worse. Use before multi-file refactors.

agentscope-ai/agentscope-java · 39 tokens