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inference-sh-cli

Run 150+ AI apps (image, video, LLM) via inference.sh CLI.

DeepseekModel 官方收录技能 质量 优秀 · 90 v1.0.0

获取

https://deepseekmodel.com/api/download.php?id=nousresearch-hermes-agent-optional-skills-devops-inference-sh-cli-skill-md&format=skill
下载 .skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name inference-sh-cli description Run 150+ AI apps (image, video, LLM) via inference.sh CLI. version 1.0.0 author okaris license MIT platforms ["linux","macos","windows"] metadata {"hermes":{"tags":["AI","image-generation","video","LLM","search","inference","FLUX","Veo","Claude"],"related_skills":[]}} inference.sh CLI Run 150+ AI apps in the cloud with a simple CLI. No GPU required. All commands use the terminal tool to run infsh commands. When to Use User asks to generate images (FLUX, Reve, Seedream, Grok, Gemini image) User asks to generate video (Veo, Wan, Seedance, OmniHuman) User asks about inference.sh or infsh User wants to run AI apps without managing individual provider APIs User asks for AI-powered search (Tavily, Exa) User needs avatar/lipsync generation Prerequisites The infsh CLI must be installed and authenticated. Check with: infsh me If not installed: curl -fsSL https://cli.inference.sh | sh infsh login See references/authentication.md for full setup details. Workflow 1. Always Search First Never guess app names — always search to find the correct app ID: infsh app list --search flux infsh app list --search video infsh app list --search image 2. Run an App Use the exact app ID from the search results. Always use --json for machine-readable output: infsh app run <app-id> --input '{"prompt": "your prompt here"}' --json 3. Parse the Output The JSON output contains URLs to generated media. Present these to the user with MEDIA:<url> for inline display. Common Commands Image Generation # Search for image apps infsh app list --search image # FLUX Dev with LoRA infsh app run falai/flux-dev-lora --input '{"prompt": "sunset over mountains", "num_images": 1}' --json # Gemini image generation infsh app run google/gemini-2-5-flash-image --input '{"prompt": "futuristic city", "num_images": 1}' --json # Seedream (ByteDance) infsh app run bytedance/seedream-5-lite --input '{"prompt": "nature scene"}' --json # Grok Imagine (xAI) infsh app run xai/grok-imagine-image --input '{"prompt": "abstract art"}' --json Video Generation # Search for video apps infsh app list --search video # Veo 3.1 (Google) infsh app run google/veo-3-1-fast --input '{"prompt": "drone shot of coastline"}' --json # Seedance (ByteDance) infsh app run bytedance/seedance-1-5-pro --input '{"prompt": "dancing figure", "resolution": "1080p"}' --json # Wan 2.5 infsh app run falai/wan-2-5 --input '{"prompt": "person walking through city"}' --json Local File Uploads The CLI automatically uploads local files when you provide a path: # Upscale a local image infsh app run falai/topaz-image-upscaler --input '{"image": "/path/to/photo.jpg", "upscale_factor": 2}' --json # Image-to-video from local file infsh app run falai/wan-2-5-i2v --input '{"image": "/path/to/image.png", "prompt": "make it move"}' --json # Avatar with audio infsh app run bytedance/omnihuman-1-5 --input '{"audio": "/path/to/audio.mp3", "image": "/path/to/face.jpg"}' --json Search & Research infsh app list --search search infsh app run tavily/tavily-search --input '{"query": "latest AI news"}' --json infsh app run exa/exa-search --input '{"query": "machine learning papers"}' --json Other Categories # 3D generation infsh app list --search 3d # Audio / TTS infsh app list --search tts # Twitter/X automation infsh app list --search twitter Pitfalls Never guess app IDs — always run infsh app list --search <term> first. App IDs change and new apps are added frequently. Always use --json — raw output is hard to parse. The --json flag gives structured output with URLs. Check authentication — if commands fail with auth errors, run infsh login or verify INFSH_API_KEY is set. Long-running apps — video generation can take 30-120 seconds. The terminal tool timeout should be sufficient, but warn the user it may take a moment. Input format — the --input flag takes a JSON string. Make sure to properly escape quotes. Reference Docs references/authentication.md — Setup, login, API keys references/app-discovery.md — Searching and browsing the app catalog references/running-apps.md — Running apps, input formats, output handling references/cli-reference.md — Complete CLI command reference
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下载的 .skill 包内含以下字段。
字段 说明
format格式标识(skill/v1)
skill_id技能唯一 ID
name技能名称
version版本号
description技能描述
category所属分类(数组)
trigger_words触发词列表
tags标签列表
source来源标识
source_url来源链接(本页地址)
exported_at导出时间(每次下载生成)
system_prompt系统提示词正文
model_config模型参数:provider / model / temperature / max_tokens / top_p
examples示例
install_guide各平台导入说明(Coze / Dify / Claude / 自定义框架)
同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

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