multimodal-models

multimodal-models is a skill for Claude Code from eyadsibai/ltk. It costs 61 tokens per session (1,380 once invoked), scanned A, original, no licence file.

A guide for tasks involving models that work with images, audio, or both. It covers examples such as CLIP for matching images and text, Whisper for speech transcription, and Stable Diffusion for generating images.

In plain words
What is it for?
Use it for speech-to-text, text-to-image generation, image inpainting, zero-shot classification, image-text similarity, or related multimodal model work.
Why use it?
It helps identify the relevant approach when working with media inputs, generated images, transcribed speech, or image-text comparisons.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the ltk plugin — 113 skills, 30 commands, 21 agents, 3 MCP servers shipped together

Good fit Use it for speech-to-text, text-to-image generation, image inpainting, zero-shot classification, image-text similarity, or related multimodal model work.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/eyadsibai/ltk/multimodal-models
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 eyadsibai/ltk --skill multimodal-models
Clone the repo
git clone --depth 1 https://github.com/eyadsibai/ltk

Made for: Claude Code.

Or install ltk, the plugin that ships this one along with the rest of its 113 skills, 30 commands, 21 agents, 3 MCP servers.

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 multimodal-models

README.md
[![agentmods](https://agentmods.dev/badge/skills/eyadsibai/ltk/multimodal-models.svg)](https://agentmods.dev/skills/eyadsibai/ltk/multimodal-models)
Your own site
<a href="https://agentmods.dev/skills/eyadsibai/ltk/multimodal-models"><img src="https://agentmods.dev/badge/skills/eyadsibai/ltk/multimodal-models.svg" alt="Measured on agentmods" height="20"></a>
Per session 61 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,380 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 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 $0.00061 $0.01380
Opus 5 $0.00030 $0.00690
Sonnet 5 $0.00012 $0.00276
Haiku 4.5 $0.00006 $0.00138

Measured 8d ago against content hash 427171bea4bf, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

multimodal-models scanned grade A with 0 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 8d 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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/ltk-data/skills/multimodal-models/SKILL.md · 202 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

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. 8d ago First seen · 202 lines · 61 tokens per session scan A 427171bea4bf

Subscribe to this mod's changes

multimodal-models is a skill published in the GitHub repository eyadsibai/ltk (7 stars, last pushed 7mo ago), with no licence file. It adds 61 tokens to every session and 1,380 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

Other skills, from other repositories

stable-diffusion

Text-to-image generation, inpainting, and img2img.

NousResearch/hermes-agent · 18 tokens

huggingface-lora-space-builder

Build and publish a Gradio demo on Hugging Face Spaces for a user-provided LoRA. Use when someone asks to create, generate, ship, or publish a Space, demo, Gradio app, or playground for a LoRA — including LoRAs for Qwen-Image, Qwen-Image-Edit, LTX-Video, Wan, FLUX, SDXL, or other diffusion base models. Also triggers…

huggingface/skills · 187 tokens

baoyu-danger-gemini-web

Generates images and text via reverse-engineered Gemini Web API. Supports text generation, image generation from prompts, reference images for vision input, and multi-turn conversations. Use when other skills need image generation backend, or when user requests "generate image with Gemini", "Gemini text generation"…

JimLiu/baoyu-skills · 74 tokens

seedance-antislop

This skill should be used when a Seedance 2.0 prompt contains generic AI filler, hollow superlatives, vague cinematic language, bloated adjectives, weak verbs, or needs sharper production-specific wording.

Emily2040/seedance-2.0 · 48 tokens

seedance-filter

This skill should be used when a Seedance 2.0 prompt is blocked, rejected, silently degraded, or likely to trigger a content filter; or when the user asks for a safer rewrite without losing the creative intent.

Emily2040/seedance-2.0 · 49 tokens

seedance-vocab-en

This skill should be used when an English Seedance 2.0 prompt is slop-heavy, generic, padded with empty quality words, tripping false-positive filters, or needs precise English production vocabulary for camera, lighting, motion, VFX, audio, and constraints.

Emily2040/seedance-2.0 · 61 tokens