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Agent Skill · 研究检索

venice-api-kit(venice API KIT 搜索)

用于辅助 API 设计、接口文档、请求响应结构和服务集成说明。它适合让 Agent 梳理 endpoint、生成 OpenAPI 草稿、检查字段命名、整理错误码或辅助前后端联调。使用时需要确认真实业务语义、鉴权方式、分页和错误处理规则;涉及生成接口文档时,应避免凭空补字段,最好从现有代码、schema 或接口样例中提取事实。

venice-api-kit 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 4,896。

总安装 29,118周安装 1,238GitHub Stars 公开资料未说明下载 10,201核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
2.0.2

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:venice-api-kit(venice API KIT 搜索)
来源仓库:https://github.com/sabrinaaquino/venice-api-kit
安装命令:
openclaw skills install venice-api-kit
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install venice-api-kit

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

venice-api-kit 提供完整的 Venice AI API 集成支持,涵盖图像、视频、音频及嵌入等接口管理。适用于 OpenClaw 中需要对接 Venice AI 服务的场景,如接口设计、文档生成或联调测试。

可辅助梳理 endpoint、生成 OpenAPI 草稿并校验字段命名,但需基于实际代码或样例提取事实。使用前应确认鉴权方式、分页规则及错误处理机制,避免凭空补充未经验证的接口细节。涉及生产环境部署时,建议先验证接口稳定性与权限边界,防止误操作影响系统可用性。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install venice-api-kit;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

venice-api-kit 怎么安装?

在终端执行 openclaw skills install venice-api-kit。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

venice-api-kit 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

venice-api-kit 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

venice-api-kit 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

venice-api-kit 用的人多吗?

公开数据是累计安装 29,118 次,近一周安装 1,238 次,下载 10,201 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

venice-api-kit 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
venice-api-kit

venice API KIT 搜索 · 本页

29,118—接触敏感数据MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
venice-api-kit
description
Complete Venice AI API toolkit - image generation, video, audio, embeddings, transcription, characters, models, and admin functions. Privacy-focused inference with zero data retention.
homepage
https://venice.ai
metadata

Venice API Kit

Complete toolkit for the entire Venice AI API. Includes all inference endpoints (image, video, audio, embeddings), discovery tools (models, characters), and admin functions (billing, usage, API keys).

API Base URL: https://api.venice.ai/api/v1 Documentation: docs.venice.ai

Setup

  1. Get your API key from venice.ai → Settings → API Keys
  2. Set the environment variable:
export VENICE_API_KEY="your_api_key_here"

Or configure in ~/.openclaw/openclaw.json:

{
  skills: {
    entries: {
      "venice-api-kit": {
        apiKey: "your_api_key_here"
      }
    }
  }
}

Image Generation

Generate images using Venice's image models. Returns base64 image data.

uv run {baseDir}/scripts/image_generate.py --prompt "a serene mountain landscape at sunset"

Options:

  • --prompt (required): Description of the image (max 7500 chars, model-dependent)
  • --output: Output filename (default: auto-generated timestamp)
  • --model: Model ID (default: flux-2-max)
  • --size: Image size: 1024x1024, 1536x1024, 1024x1536, 1792x1024, 1024x1792 (default: 1024x1024)
  • --style-id: Style preset ID (use --list-styles to see available)
  • --negative-prompt: What to avoid in the image
  • --seed: Seed for reproducible generation

List available styles:

uv run {baseDir}/scripts/image_generate.py --list-styles

Image Upscaling

Upscale images 1-4x with optional AI enhancement. Returns binary PNG.

uv run {baseDir}/scripts/image_upscale.py --image input.png --scale 2

Options:

  • --image (required): Input image path or URL
  • --output: Output filename (default: upscaled-{timestamp}.png)
  • --scale: Scale factor 1-4 (default: 2). Scale of 1 requires --enhance
  • --enhance: Enable AI enhancement during upscaling
  • --enhance-creativity: How much AI can change (0-1, higher = more creative)
  • --enhance-prompt: Style to apply (e.g., "gold", "marble", "cinematic")
  • --replication: Preserve original lines/noise (0-1, higher = less hallucination)

Example with enhancement:

uv run {baseDir}/scripts/image_upscale.py --image photo.png --scale 2 --enhance --enhance-prompt "cinematic lighting"

Image Editing

Edit images with AI using text prompts. Returns binary PNG.

uv run {baseDir}/scripts/image_edit.py --image photo.png --prompt "add sunglasses"

Options:

  • --image (required): Input image path or URL
  • --prompt (required): Edit instructions (e.g., "remove the tree", "change sky to sunset")
  • --output: Output filename (default: edited-{timestamp}.png)
  • --model: Edit model (default: qwen-edit). Available: qwen-edit, flux-2-max-edit, gpt-image-1-5-edit, nano-banana-pro-edit, seedream-v4-edit
  • --aspect-ratio: Output aspect ratio: auto, 1:1, 3:2, 16:9, 21:9, 9:16, 2:3, 3:4

Background Removal

Remove backgrounds from images. Returns binary PNG with transparency.

uv run {baseDir}/scripts/image_background_remove.py --image photo.png

Options:

  • --image (required): Input image path or URL
  • --output: Output filename (default: no-background-{timestamp}.png)

Text-to-Speech

Convert text to speech with multiple voices and formats. Returns binary audio.

uv run {baseDir}/scripts/audio_speech.py --text "Hello, welcome to Venice AI"

Options:

  • --text (required): Text to convert (max 4096 characters)
  • --output: Output filename (default: speech-{timestamp}.{format})
  • --voice: Voice ID (default: af_nicole)
  • --model: TTS model (default: tts-kokoro)
  • --speed: Speed multiplier 0.25-4.0 (default: 1.0)
  • --format: Audio format: mp3, opus, aac, flac, wav, pcm (default: mp3)
  • --streaming: Stream audio sentence by sentence

Available voices:

  • American Female: af_alloy, af_aoede, af_bella, af_heart, af_jadzia, af_jessica, af_kore, af_nicole, af_nova, af_river, af_sarah, af_sky
  • American Male: am_adam, am_echo, am_eric
  • British Female: bf_emma, bf_isabella, bf_alice
  • British Male: bm_george, bm_lewis, bm_daniel

Audio Transcription

Transcribe audio files to text using Whisper-based speech recognition.

uv run {baseDir}/scripts/transcribe.py --file audio.mp3

Options:

  • --file (required): Audio file to transcribe (WAV, MP3, FLAC, M4A, AAC)
  • --output: Save transcription to file
  • --model: ASR model (default: openai/whisper-large-v3)
  • --format: Output format: json or text (default: json)
  • --timestamps: Include word/segment timestamps
  • --language: Language hint (ISO 639-1: en, es, fr, etc.)

Embeddings

Generate vector embeddings for RAG applications.

uv run {baseDir}/scripts/embeddings.py --text "Your text to embed"

Options:

  • --text: Text to embed (use this OR --file)
  • --file: Read text from file
  • --output: Save embeddings to JSON file
  • --model: Embedding model (default: text-embedding-3-small)

Video Generation

Generate videos from text prompts. Some models require a reference image. Async with polling.

Text-to-video:

uv run {baseDir}/scripts/video_generate.py --prompt "a cat playing piano"

Image-to-video (requires reference image):

uv run {baseDir}/scripts/video_generate.py --prompt "a cat playing piano" --image reference.png

Options:

  • --prompt (required): Video description (max 2500 characters)
  • --image: Reference image (path or URL) - required for image-to-video models
  • --output: Output filename (default: venice-video-{timestamp}.mp4)
  • --model: Video model (default: wan-2.6-image-to-video). Also: wan-2.6-text-to-video, wan-2.6-flash-image-to-video
  • --duration: Video duration: 5s or 10s (default: 5s)
  • --resolution: Resolution: 480p, 720p, 1080p (default: 720p)
  • --aspect-ratio: Aspect ratio (e.g., 16:9, 9:16, 1:1)
  • --negative-prompt: What to avoid in the video
  • --max-wait: Max seconds to wait for completion (default: 600)

Models Explorer

List and explore all available Venice AI models. No API key required.

uv run {baseDir}/scripts/models.py

Options:

  • --type: Filter by type: all, text, image, video, tts, asr, embedding, code, upscale, inpaint (default: all)
  • --format: Output format: table, json, names (default: table)
  • --output: Save to file

Examples:

uv run {baseDir}/scripts/models.py --type image
uv run {baseDir}/scripts/models.py --format json --output models.json

Characters Browser

Browse and discover Venice AI character personas.

uv run {baseDir}/scripts/characters.py

Options:

  • --search: Search by name or description
  • --tag: Filter by tag
  • --limit: Max results (default: 20)
  • --format: Output format: table, json, list (default: table)
  • --output: Save to file

Examples:

uv run {baseDir}/scripts/characters.py --search "coding"
uv run {baseDir}/scripts/characters.py --tag "assistant" --format json

Admin: Check Balance

Check your DIEM and USD balances. Requires Admin API key.

uv run {baseDir}/scripts/balance.py

Shows current balance, consumption currency, and DIEM epoch allocation.


Admin: Usage History

View detailed usage history with filtering. Requires Admin API key.

uv run {baseDir}/scripts/usage.py

Options:

  • --currency: Filter by currency: DIEM, USD, VCU (default: DIEM)
  • --start-date: Start date (ISO format: 2024-01-01)
  • --end-date: End date (ISO format: 2024-12-31)
  • --limit: Results per page, max 200 (default: 50)
  • --page: Page number (default: 1)
  • --sort: Sort order: asc, desc (default: desc)
  • --format: Output format: json, csv (default: json)
  • --output: Save to file

Examples:

uv run {baseDir}/scripts/usage.py --currency USD --limit 100
uv run {baseDir}/scripts/usage.py --start-date 2024-01-01 --format csv --output usage.csv

Admin: List API Keys

List all your API keys with metadata. Requires Admin API key.

uv run {baseDir}/scripts/api_keys_list.py

Shows key ID, name, type, creation date, last used date, and rate limits.


Admin: Get API Key Details

Get detailed information for a specific API key. Requires Admin API key.

uv run {baseDir}/scripts/api_key_get.py --id "key_abc123"

Options:

  • --id (required): API key ID to get details for

Admin: Create API Key

Create a new API key. Requires Admin API key.

uv run {baseDir}/scripts/api_key_create.py --name "My New Key"

Options:

  • --name (required): Name for the new API key
  • --type: Key type: INFERENCE (default) or ADMIN

Important: The full key is only shown once on creation. Save it immediately.


Admin: Update API Key

Update an existing API key's settings. Requires Admin API key.

uv run {baseDir}/scripts/api_key_update.py --id "key_abc123" --name "New Name"

Options:

  • --id (required): API key ID to update
  • --name: New name for the key

Admin: Delete API Key

Delete an API key. This action is irreversible. Requires Admin API key.

uv run {baseDir}/scripts/api_key_delete.py --id "key_abc123" --force

Options:

  • --id (required): API key ID to delete
  • --force (required): Confirm deletion

Rate Limits

Get current rate limits and balance information.

uv run {baseDir}/scripts/rate_limits.py

Shows requests/minute, tokens/minute, tokens/day limits and current usage.


Runtime Note

This skill uses uv run which automatically installs Python dependencies (httpx) via PEP 723 inline script metadata. No manual Python package installation required - uv handles everything.


Security Notes

  • Privacy: All inference is private—no logging, no training on your data
  • API Key: Store securely, never commit to version control
  • Admin vs Inference Keys: Admin keys can access billing/usage—use inference keys for everyday work
  • Data: Venice does not retain request/response data
  • Trust: Verify you trust Venice.ai before sending sensitive data

API Reference

EndpointDescriptionResponse
/image/generateFull image generationJSON with base64 images
/images/generationsOpenAI-compatible generationJSON with base64
/image/upscaleImage upscaling with enhancementBinary PNG
/image/editAI image editingBinary PNG
/image/background-removeBackground removalBinary PNG (transparent)
/audio/speechText-to-speechBinary audio
/audio/transcriptionsSpeech-to-textJSON with text
/embeddingsVector embeddingsJSON
/video/queueQueue video generationJSON with queue_id
/video/retrieveRetrieve completed videoBinary MP4 or JSON status
/modelsList available modelsJSON
/charactersList character personasJSON
/billing/balanceCheck account balanceJSON (Admin key)
/billing/usageView usage historyJSON (Admin key)
/api_keysList API keysJSON (Admin key)
/api_keys/{id}Get/Update/Delete API keyJSON (Admin key)
/api_keys/rate_limitsGet rate limits & balancesJSON

Full API docs: docs.venice.ai

适合场景

01

商品图处理

02

人像抠图

03

透明背景素材

04

营销设计资产

能力概览

能力 1

调用背景移除模型

能力 2

输出透明背景图片

能力 3

支持商品、人像和营销素材处理

能力 4

可接入图像编辑工作流

平台分布

OpenClaw

84.87%
按下载量换算8,658

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

未展示

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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