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openclaw-antseedOpenClaw antseed 搜索

Agent Skill

openclaw-antseed 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。

总安装

14,616

周安装

609

GitHub Stars

1

下载量

4,872
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

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:openclaw-antseed(OpenClaw antseed 搜索)
来源仓库:https://github.com/kotevcode/openclaw-antseed
安装命令:
openclaw skills install openclaw-antseed
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 openclaw-antseed

简介

将 OpenClaw 连接到 AntSeed P2P AI 网络的买家端技能。

  • 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。
  • 支持通过 AntSeed 路由 OpenClaw 请求,实现分布式 AI 资源调度。
  • 安装命令:openclaw skills install openclaw-antseed,需配置网络连接参数。
  • 涉及网络路由时应评估延迟和稳定性对任务执行的影响。

SKILL.md

name
openclaw-antseed
description
Connect OpenClaw to the AntSeed P2P AI network as a buyer. Use when: user asks to connect OpenClaw to AntSeed, route OpenClaw through AntSeed, set up AntSeed as a model provider for OpenClaw, or use P2P AI models in OpenClaw. Installs the AntSeed buyer proxy and configures OpenClaw to route LLM requests through the AntSeed peer-to-peer network.
user-invocable
true
metadata
{ "openclaw": { "emoji": "🌱", "requires": { "bins": ["npm", "openclaw"] } } }

Connect OpenClaw to AntSeed P2P Network

Set up AntSeed as a model provider for OpenClaw. This installs a local buyer proxy that connects to the AntSeed peer-to-peer network and routes LLM requests to available providers.

Architecture

OpenClaw → http://127.0.0.1:5005 (AntSeed buyer proxy) → P2P network → Provider node → Upstream API (OpenRouter, Anthropic, etc.)

The buyer proxy runs locally, discovers providers via DHT, and exposes an API-compatible HTTP endpoint.

Step 1: Install AntSeed CLI and buyer plugin

npm install -g @antseed/cli
antseed plugin add @antseed/router-local-proxy

Verify: antseed --version (requires Node.js 20+).

Step 2: Start the buyer proxy

Run in a terminal or set up as a persistent service:

antseed connect --router local-proxy --port 5005

The proxy will:

  1. Join the P2P network via DHT
  2. Discover available providers
  3. Listen on http://localhost:5005

Persistent service (systemd)

To run the proxy as a background service that survives reboots:

sudo tee /etc/systemd/system/antseed-buyer.service > /dev/null <<'EOF'
[Unit]
Description=AntSeed Buyer Proxy
After=network-online.target
Wants=network-online.target

[Service]
Type=simple
User=$USER
ExecStart=/usr/bin/env antseed connect --router local-proxy --port 5005
Restart=on-failure
RestartSec=10
StandardOutput=journal
StandardError=journal
SyslogIdentifier=antseed-buyer

[Install]
WantedBy=multi-user.target
EOF

sudo systemctl daemon-reload
sudo systemctl enable --now antseed-buyer

Verify: sudo systemctl is-active antseed-buyer

Step 3: Configure OpenClaw model provider

Ask the user which model they want to use. Available models depend on what providers are active on the network.

Set the provider

openclaw config set models.providers.antseed.baseUrl "http://127.0.0.1:5005"
openclaw config set models.providers.antseed.apiKey "antseed-p2p"
openclaw config set models.providers.antseed.api "anthropic-messages"

Add a model

The model ID must match a model available on the network. Ask the user or suggest common options. Example for Kimi K2.5 via OpenRouter:

cat ~/.openclaw/openclaw.json | python3 -c "
import sys, json
cfg = json.load(sys.stdin)
providers = cfg.setdefault('models', {}).setdefault('providers', {})
providers['antseed'] = {
    'baseUrl': 'http://127.0.0.1:5005',
    'apiKey': 'antseed-p2p',
    'api': 'anthropic-messages',
    'models': [{
        'id': 'MODEL_ID_HERE',
        'name': 'MODEL_DISPLAY_NAME',
        'reasoning': False,
        'input': ['text'],
        'contextWindow': 131072,
        'maxTokens': 8192
    }]
}
json.dump(cfg, sys.stdout, indent=2)
" > /tmp/oc_antseed.json && mv /tmp/oc_antseed.json ~/.openclaw/openclaw.json

Replace MODEL_ID_HERE with the actual model (e.g., moonshotai/kimi-k2.5, anthropic/claude-sonnet-4-20250514).

Set as default model

openclaw config set agents.defaults.model.primary "antseed/MODEL_ID_HERE"

The model reference format is antseed/<model-id> where antseed is the provider name.

Step 4: Restart and verify

# Restart the gateway to pick up the new provider
sudo systemctl restart openclaw  # or kill and restart the gateway process

# Test the connection
curl -s http://127.0.0.1:5005/v1/models

If the proxy returns available models, the connection is working.

Bootstrap nodes (optional)

If the proxy can't find providers via DHT, add a known provider as a bootstrap node:

Edit ~/.antseed/config.json and add to the bootstrapNodes array:

{
  "bootstrapNodes": [
    { "host": "PROVIDER_IP", "port": 6882 }
  ]
}

Then restart the buyer proxy.

API format notes

  • Use anthropic-messages API format. The AntSeed proxy translates between formats as needed.
  • The apiKey value doesn't matter — set it to any non-empty string (e.g., antseed-p2p). The proxy doesn't validate it.
  • Streaming is supported. The proxy relays SSE streams from providers.

Verification checklist

  • [ ] antseed --version prints a version
  • [ ] antseed connect --router local-proxy --port 5005 starts without errors
  • [ ] curl http://127.0.0.1:5005/v1/models returns available models
  • [ ] OpenClaw config has models.providers.antseed configured
  • [ ] agents.defaults.model.primary is set to antseed/<model-id>
  • [ ] OpenClaw gateway responds to messages using the AntSeed model

Troubleshooting

  • "No sellers available on the network": No providers found via DHT. Add a bootstrap node (see above) or check that providers are running.
  • "DHT returned 0 results": Check internet connectivity and firewall. DHT uses UDP on random high ports. Ensure inbound UDP is allowed.
  • Slow first request: DHT discovery takes 5-10 seconds on the first request. Subsequent requests reuse cached peer connections.
  • Timeouts on large requests: Some models take longer through P2P routing. Ensure the OpenClaw model config has adequate maxTokens.
  • "502 Upstream error": The provider's upstream API (OpenRouter, Anthropic) returned an error. Check the provider logs.
  • Empty responses: Verify the model ID matches what the provider allows. Mismatched model names result in 403 errors.

适合场景

01

调用多模型

02

代码和文本生成

03

Agent 推理流程

04

OpenRouter 模型接入

能力概览

能力 1

统一调用多种 LLM

能力 2

支持 Claude、Gemini、Kimi 等模型

能力 3

适合聊天、代码和推理任务

能力 4

可作为 Agent 模型调用入口

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

93.46%
按下载量换算4,553

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

未展示

权限和风险

执行命令

安装流程涉及命令执行,可能通过 openclaw skills install openclaw-antseed 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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