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Agent Skill · 研究检索

private-ai(私人 AI)

private-ai 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

private-ai 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 23,521。

总安装 4,248周安装 177GitHub Stars 公开资料未说明下载 1,416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
1.0.2

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:private-ai(私人 AI)
来源仓库:https://github.com/twinsgeeks/private-ai
安装命令:
openclaw skills install private-ai
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 private-ai

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。

在本地硬件上运行大语言模型与图像生成服务,保障数据不出域。适合对数据主权有高要求的企业或研究机构部署私有推理环境。支持语音转文本、嵌入计算与定制化微调任务。private-ai 属于研究检索类 Skill,可作为该场景下的辅助能力补充。安装命令:openclaw skills install private-ai。

需配备足够 GPU 资源,初次部署耗时较长。

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 private-ai;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

    它需要需要联网,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

private-ai 怎么安装?

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

private-ai 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。

private-ai 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

private-ai 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。

private-ai 用的人多吗?

公开数据是累计安装 4,248 次,近一周安装 177 次,下载 1,416 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。

private-ai 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

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。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 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。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 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
private-ai

私人 AI · 本页

4,248—需要联网MIT-0通过

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
private-ai
description
Private AI — run LLMs, image generation, speech-to-text, and embeddings on your own hardware. Private AI keeps all data on your network. No cloud APIs, no telemetry, no third-party access. Offline AI and air-gapped AI compatible. On-premise AI for privacy, compliance, data sovereignty. HIPAA-friendly private AI, GDPR-ready private AI. 私有AI离线推理。IA privada sin nube.
version
1.0.2
homepage
https://github.com/geeks-accelerator/ollama-herd
metadata
{"openclaw":{"emoji":"lock","requires":{"anyBins":["curl","wget"],"optionalBins":["python3","pip"]},"configPaths":["~/.fleet-manager/latency.db","~/.fleet-manager/logs/herd.jsonl"],"os":["darwin","linux","windows"]}}

Private AI — Your Data Never Leaves Your Network

Private AI means every prompt, every response, every image, every transcription stays on your machines. Private AI requires no cloud APIs. Private AI sends no telemetry. Private AI has no third-party access. This is offline AI that runs entirely on your own hardware.

What makes this private AI

  • Private AI networking — the router and nodes communicate only on your local network
  • Private AI telemetry — zero. No usage data, no analytics sent anywhere
  • Private AI credentials — none needed. No API keys, no accounts, no tokens
  • Offline AI capable — models run fully offline after download. Air-gapped AI deployment supported
  • Private AI data storage — all data in ~/.fleet-manager/ on your machines only
  • Air-gapped AI — pre-download models, then disconnect. The private AI fleet runs without internet

Setup private AI

pip install ollama-herd    # install private AI router
herd                       # start private AI router (port 11435)
herd-node                  # run on each device — private AI nodes discover each other

No models downloaded during installation. All private AI model downloads require explicit user confirmation. Once downloaded, your private AI runs entirely offline.

Private AI for LLM inference

Send sensitive prompts with private AI — legal documents, medical notes, financial data, proprietary code never leave your network.

from openai import OpenAI

# Private AI endpoint — all inference stays local
private_ai = OpenAI(base_url="http://localhost:11435/v1", api_key="not-needed")

# Private AI document analysis — data never leaves your network
response = private_ai.chat.completions.create(
    model="llama3.3:70b",  # private AI inference on your hardware
    messages=[{"role": "user", "content": "Review this confidential contract for risks using private AI"}],
)
print(response.choices[0].message.content)

Private AI with any model — all fully offline

# Private AI with DeepSeek-R1 — no data sent to cloud
curl http://localhost:11435/api/chat -d '{
  "model": "deepseek-r1:70b",
  "messages": [{"role": "user", "content": "Analyze this private financial report with offline AI"}],
  "stream": false
}'

Private AI image generation

Generate images from sensitive prompts with private AI — no DALL-E, no Midjourney, no cloud upload.

# Private AI image generation — prompt stays local
curl http://localhost:11435/api/generate-image \
  -d '{"model": "z-image-turbo", "prompt": "confidential product mockup generated by private AI", "width": 1024, "height": 1024}'

Private AI transcription

Private AI transcription for meetings, legal depositions, medical dictation — no cloud STT.

# Private AI speech-to-text — audio never leaves your network
curl http://localhost:11435/api/transcribe \
  -F "file=@private_board_meeting.wav" \
  -F "model=qwen3-asr"

Private AI embeddings

Build private AI knowledge bases from proprietary documents — no OpenAI embedding API.

# Private AI embeddings — document content stays local
curl http://localhost:11435/api/embed \
  -d '{"model": "nomic-embed-text", "input": "Q4 revenue projections — private AI embedding for internal RAG"}'

Air-gapped AI / offline AI deployment

For fully disconnected private AI environments:

  1. Download models on a connected machine: ollama pull llama3.3:70b
  2. Transfer model files to the air-gapped network (USB, sneakernet)
  3. Start the private AI fleet — runs without internet as offline AI

The private AI router discovers nodes on the local network. No DNS, no external lookups, no cloud callbacks. True offline AI.

Private AI compliance

Compliance NeedHow private AI helps
HIPAAPrivate AI processes PHI on your hardware only
GDPRPrivate AI keeps all data in your jurisdiction
Data residencyPrivate AI — all processing on your hardware
No subprocessorsPrivate AI uses no cloud APIs for inference
Audit trailPrivate AI logs every request (model, node, latency)
Data sovereigntyPrivate AI — your data, your machines, your control
Data minimizationPrivate AI traces store routing metadata, never prompts

Monitor your private AI fleet

# Private AI fleet status
curl -s http://localhost:11435/fleet/status | python3 -m json.tool

# Private AI health checks
curl -s http://localhost:11435/dashboard/api/health | python3 -m json.tool

Private AI dashboard at http://localhost:11435/dashboard — accessible only on your local network.

Example private AI fleet response:

{
  "fleet": {"nodes_online": 3, "private_ai": true},
  "nodes": [
    {"node_id": "Private-AI-Server-1", "models_loaded": ["llama3.3:70b"]},
    {"node_id": "Private-AI-Server-2", "models_loaded": ["deepseek-r1:70b"]}
  ]
}

Full documentation

Contribute

Ollama Herd is open source (MIT). Private AI for everyone:

  • Star on GitHub — help others discover private AI
  • Open an issue — share your private AI setup
  • PRs welcome — CLAUDE.md gives AI agents full context. 444 tests.

Guardrails

  • No automatic downloads — all private AI model pulls require explicit user confirmation.
  • Private AI model deletion requires explicit user confirmation.
  • No external network access — private AI router and nodes communicate only locally.
  • Private AI traces never store prompt content — only routing metadata.
  • Never delete or modify files in ~/.fleet-manager/.

平台分布

OpenClaw

91.42%
按下载量换算1,295

安全审计

VirusTotal

未展示

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。目前只有一个公开来源,建议同时核对源仓库。

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