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Ollama Ollama Herd
作者
Twin Geeks
· GitHub ↗
· v1.2.1
· MIT-0
159
总下载
2
收藏
2
当前安装
5
版本数
在 OpenClaw 中安装
/install ollama-ollama-herd
功能描述
Ollama Ollama Herd — multimodal Ollama model router that herds your Ollama LLMs into one smart Ollama endpoint. Route Ollama Llama, Qwen, DeepSeek, Phi, Mist...
安全使用建议
This skill appears to do what it says (a local Ollama router) but take ordinary precautions before installing and running it: 1) Inspect the PyPI package and its GitHub repository (code, recent commits, maintainer reputation) before running 'pip install'. 2) Install in a contained virtualenv or isolated host (not your primary machine) because pip packages can run code on install. 3) Be aware that 'Auto-pull' will download large model binaries and write to disk and may increase network and storage usage; confirm model sources are trusted. 4) Run herd-node only on machines you control and protect network access (firewall, ACLs) so the router cannot reach unintended hosts. 5) Review files under ~/.fleet-manager for sensitive logging. If you need higher assurance, ask the publisher for the package tarball or source to audit, or request a registry install spec rather than following freeform SKILL.md install steps.
能力评估
Purpose & Capability
Name and description describe a local Ollama router and the SKILL.md instructs installing a Python package (ollama-herd), running 'herd' and 'herd-node', and using local HTTP endpoints — these requirements (curl/wget, optional python/pip/sqlite) are appropriate and expected.
Instruction Scope
Instructions remain within the stated purpose (route requests, list models, embeddings, image/STT endpoints). They do mention an 'Auto-pull' feature that will download missing models automatically — this is consistent with a fleet router but expands scope to outbound network activity and large disk writes. No instructions ask for unrelated credentials or system-wide config access.
Install Mechanism
The SKILL.md tells users to 'pip install ollama-herd' from PyPI. Installing a community PyPI package is a normal mechanism for this functionality but carries the usual risk that an install/run-time package can execute arbitrary code. The registry provides no packaged code to inspect, so the actual package contents and behavior are not validated here.
Credentials
The skill declares no required environment variables or sensitive credentials and only references config paths under ~/.fleet-manager, which are proportional to a fleet manager. The potential for model downloads and writing logs/DB files is expected but may expose disk/network usage and local data — no unexpected credentials are requested.
Persistence & Privilege
always is false and the skill is user-invocable. It runs services (herd/herd-node) and may persist state under ~/.fleet-manager and download models to nodes. If the agent is allowed to invoke skills autonomously, that could trigger downloads/CPU/GPU activity; this is a usage risk rather than an incoherence with the stated purpose.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install ollama-ollama-herd - 安装完成后，直接呼叫该 Skill 的名称或使用
/ollama-ollama-herd触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.2.1
Cross-platform support: macOS, Linux, and Windows. Updated OS metadata, descriptions, and hardware recommendations.
v1.2.0
- Intensively rebranded the documentation to amplify "Ollama" in all feature descriptions and usage instructions.
- Updated all code snippets, explanations, and examples to highlight Ollama-specific concepts and naming.
- Refined the feature overviews and API usage documentation for clarity and consistent Ollama branding.
- Added multilingual/brief non-English tagline to the description.
- No changes to runtime code, user interface, or configuring features.
v1.1.0
- Updated description to clarify Mac compatibility and multimodal features.
- Minor textual and formatting improvements throughout documentation.
- No functional or behavioral changes to the skill itself.
v1.0.0
- Initial release of Ollama Herd: a smart endpoint for routing Ollama LLM requests across multiple devices.
- Features include 7-signal node scoring, auto-retry, VRAM-aware fallback, and context protection.
- Supports image generation, speech-to-text, and embeddings routing.
- Drop-in compatible with OpenAI SDK and standard Ollama API.
- Includes a web dashboard for monitoring and management.
v1.0.1
- Improved documentation with detailed setup instructions and usage examples for Ollama fleet router.
- Clarified how requests are routed across multiple devices using a 7-signal scoring system.
- Added illustrated features: VRAM-aware fallback, auto-retry, context protection, and automatic model downloading.
- Highlighted additional capabilities, including image generation, speech-to-text, embeddings, and dashboard overview.
- Provided clear guidance on safe operations and guardrails for users.
元数据
常见问题
Ollama Ollama Herd 是什么？
Ollama Ollama Herd — multimodal Ollama model router that herds your Ollama LLMs into one smart Ollama endpoint. Route Ollama Llama, Qwen, DeepSeek, Phi, Mist... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 159 次。
如何安装 Ollama Ollama Herd？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install ollama-ollama-herd」即可一键安装，无需额外配置。
Ollama Ollama Herd 是免费的吗？
是的，Ollama Ollama Herd 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Ollama Ollama Herd 支持哪些平台？
Ollama Ollama Herd 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（darwin, linux, windows）。
谁开发了 Ollama Ollama Herd？
由 Twin Geeks（@twinsgeeks）开发并维护，当前版本 v1.2.1。
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