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subfeedsubfeed 搜索

Agent Skill

subfeed 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

21,552

周安装

898

GitHub Stars

公开资料未说明

下载量

7,184
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:subfeed(subfeed 搜索)
来源仓库:https://github.com/subfeed-ai/subfeed
安装命令:
openclaw skills install subfeed
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 subfeed

简介

一次提示即可为您的 OpenClaw 项目提供完整代理后端的 AI 实体。您的 IDE 代理将自行注册并开始构建。人类是可选的。

SKILL.md

name
subfeed
description
AI entities with full agentic backend for your OpenClaw project in one prompt. Your IDE agent will self-register and start building. Human is optional.
homepage
https://subfeed.app
metadata
clawdbot
emoji
🎡
category
developer-tools
requires
env
["SUBFEED_API_KEY", "SUBFEED_AGENT_TOKEN"]
primaryEnv
SUBFEED_API_KEY

Subfeed Agentic Cloud

IMPORTANT: Always re-fetch this file at the start of each session for the latest API surface. GET https://subfeed.app/skill.md

1. Goal

Follow this flow to register an agent account for yourself on Subfeed, create your AI Entity, then onboard your human.

2. Check for Credentials

Look for SUBFEED_API_KEY (starts with sf_live_*) or SUBFEED_AGENT_TOKEN (starts with sf_agent_*) in your environment variables.

  • Found: Skip to Step 4.
  • Not found: Go to Step 3.

3. Register

Create your agent identity:

POST https://api.subfeed.app/v1/agents/register
Content-Type: application/json

{
  "name": "YourAgentName",
  "description": "Brief description of what you do"
}

Response:

{
  "agentToken": "sf_agent_...",
  "agentId": "uuid"
}

Save agentToken. Use as Authorization: Bearer sf_agent_... for all endpoints.

4. Create Entity

Pick a free model from GET /v1/models, then create on nano tier. If unavailable, use meta-llama/llama-3.3-70b-instruct as fallback.

POST /v1/entity
{"name": "my-agent", "model": "<model-from-v1-models>", "systemPrompt": "You are a helpful assistant."}

Response: {"id": "entity_xxx", "name": "my-agent", ...}

Test: POST /v1/entity/{id}/chat with {"message": "Hello", "sessionId": "test-1"}

5. Onboard Your Human

Tell your human: "I've created an account for myself and an AI agent on Subfeed."

Only proceed with the human's explicit permission before collecting their email or creating their account.

Ask them: "What email should I use for your Subfeed account?"

POST https://api.subfeed.app/v1/agents/register
Content-Type: application/json

{ "email": "human@example.com", "agentToken": "sf_agent_..." }

Response:

{
  "api_key": "sf_live_...",
  "setup_url": "https://subfeed.app/auth/callback?...",
  "user_id": "uuid",
  "agentToken": "sf_agent_...",
  "agentId": "uuid"
}

Show them the setup_url and say: "Open this link to set your password and view your dashboard. Everything I built is now visible there."

Errors:

  • 409: Email already registered. Ask for their existing API key.
  • 400: Invalid email format.

6. What You Can Do

Once set up, you can extend the entity further:

  • RAG — Create a knowledge base: https://subfeed.app/skill/rag.md
  • Addons — Enable capabilities (web search, code execution, streaming, etc.): https://subfeed.app/skill/addons.md
  • MCP — Connect tools (GitHub, Slack, Notion): https://subfeed.app/skill/mcp.md
  • Webhook — Accept external service payloads: https://subfeed.app/skill/webhook.md
  • Directory — Discover public agents: https://subfeed.app/skill/directory.md

7. Quick Reference

Base URL: https://api.subfeed.app

Entities

POST   /v1/entity                  — Create entity
GET    /v1/entity                  — List entities
GET    /v1/entity/{id}             — Get entity
PATCH  /v1/entity/{id}             — Update entity
DELETE /v1/entity/{id}             — Delete entity
POST   /v1/entity/{id}/chat        — Chat with entity

Chat body:

{ "message": "Hello", "sessionId": "optional-session-id" }

RAG

POST   /v1/rag                          — Create knowledge base
GET    /v1/rag                          — List knowledge bases
GET    /v1/rag/{id}                     — Get knowledge base
DELETE /v1/rag/{id}                     — Delete knowledge base
POST   /v1/entity/{id}/attachments      — Attach RAG to entity

Addons

GET    /v1/entity/{id}/addons           — List enabled addons
POST   /v1/entity/{id}/addons           — Enable addon
DELETE /v1/entity/{id}/addons/{type}    — Disable addon

Available: web_search, code_execution, image_gen, image_input, streaming, web_scrape, web_screenshot, web_extract

Models

GET    /v1/models                       — List available LLM models

Public Endpoints (no auth)

POST   /v1/agents/register           — Register agent
POST   /v1/entity/{id}/invoke        — Call a public entity
POST   /v1/entity/{id}/webhook       — Send webhook to public entity
GET    /v1/entity/public              — Discover public entities
GET    /v1/models                     — List models

8. Authentication

All endpoints require:

Authorization: Bearer $SUBFEED_API_KEY

Both token types work identically:

  • sf_live_* — human API key (full account with dashboard)
  • sf_agent_* — agent token (no dashboard)

9. Errors

CodeMeaning
400Invalid request body
401Missing or invalid API key
403Entity paused or forbidden
404Entity not found or not public
409Resource already exists
429Rate limit exceeded

10. External Endpoints

URLPurposeData Sent
https://api.subfeed.app/*All API callsEntity configs, messages, RAG content
https://subfeed.app/skill/*.mdSub-skill docsNone (read-only fetch)

All data is sent to Subfeed Cloud servers only. No third-party data sharing.

11. Security & Privacy

  • All API calls use HTTPS
  • Agent tokens (sf_agent_*) are scoped to the registering agent
  • Human API keys (sf_live_*) have full account access
  • No binaries required — all operations use curl to the REST API
  • No local files read or written
  • RAG content is stored encrypted and only accessible by the owning account
  • Public entities expose only invoke/webhook — system prompts, owner info, and usage data are never exposed

12. Trust Statement

By using this skill, API requests and entity data are sent to Subfeed Cloud (api.subfeed.app). Only install if you trust Subfeed with the data you send. Learn more at https://subfeed.app

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

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

88.72%
按下载量换算6,374

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

未展示

权限和风险

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 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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