Token导航 LogoToken导航TokenDH.com
研究检索敏感数据clawhub未标认证来源可访问clear审计通过

edgebricedgebric 文档

Agent Skill

edgebric 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

4,045

周安装

172

GitHub Stars

公开资料未说明

下载量

1,417
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:edgebric(edgebric 文档)
来源仓库:https://github.com/jerv/edgebric
安装命令:
openclaw skills install edgebric
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 edgebric

简介

搜索和管理您的私人知识库。在 Edgebric 中查找文档、查询知识、上传文件以及管理数据源。

SKILL.md

name
edgebric
description
Search and manage your private knowledge base. Find documents, query knowledge, upload files, and manage data sources in Edgebric.
version
0.9.6
author
jerv
homepage
https://edgebric.com
repository
https://github.com/jerv/edgebric
license
AGPL-3.0
requires
env
description
API key starting with "eb_", created in Edgebric Settings > API Keys
required
true
scope
read-only (minimum), read-write (for uploads/deletes)
description
Base URL of the Edgebric instance (e.g. http://localhost:3001)
required
true
primary_credential
EDGEBRIC_API_KEY
user-invocable
true
model-invocable
true

Edgebric Knowledge Base

Use this skill when the user asks about documents, files, knowledge, policies, notes, records, or any information that might be stored in their private knowledge base. Also use it when they want to save, upload, or organize documents.

Setup

Two environment variables are required:

  • EDGEBRIC_URL: The base URL of the Edgebric instance (e.g. http://localhost:3001 or https://edgebric.company.com:3001)
  • EDGEBRIC_API_KEY: An API key starting with eb_, created in Edgebric Settings > API Keys

All requests use Authorization: Bearer $EDGEBRIC_API_KEY header.

When to Use

  • User asks about documents, files, knowledge, policies, procedures, notes, records
  • User says "check my docs", "what do we know about...", "find the policy for..."
  • User wants to save/upload a document ("save this to my Edgebric", "upload this file")
  • User asks to create a new knowledge source or manage their data

Endpoints

Discovery

GET $EDGEBRIC_URL/api/v1/discover

Returns API version, available sources, capabilities, and endpoint map. Call this first if unsure what sources exist.

List Sources

GET $EDGEBRIC_URL/api/v1/sources

Returns all data sources the API key has access to, with document counts.

List Documents in a Source

GET $EDGEBRIC_URL/api/v1/sources/{sourceId}/documents

Returns documents with name, type, size, upload date, and processing status.

Search (Preferred)

POST $EDGEBRIC_URL/api/v1/search
Content-Type: application/json

{
  "query": "what is the vacation policy?",
  "sourceIds": ["optional-source-id"],
  "topK": 5
}

Returns ranked chunks with citations. Prefer this over /query -- it returns raw search results without LLM synthesis, letting you (the smart model) do the synthesis with full context of the conversation.

Response:

{
  "results": [
    {
      "content": "The vacation policy allows...",
      "relevanceScore": 0.92,
      "citation": {
        "documentName": "HR Handbook.pdf",
        "page": 12,
        "section": "Benefits > Time Off",
        "sourceId": "abc-123",
        "sourceName": "HR Documents"
      }
    }
  ]
}

Query (Full RAG)

POST $EDGEBRIC_URL/api/v1/query
Content-Type: application/json

{
  "query": "what is the vacation policy?",
  "sourceIds": ["optional-source-id"],
  "stream": false
}

Returns a synthesized answer from the local LLM with citations. Use this only when you specifically need the local model's interpretation, or when /search returns results and you want a pre-formatted answer.

Response:

{
  "answer": "According to the HR Handbook...",
  "citations": [
    {
      "documentName": "HR Handbook.pdf",
      "page": 12,
      "section": "Benefits > Time Off",
      "sourceId": "abc-123",
      "sourceName": "HR Documents"
    }
  ]
}

Set stream: true for SSE streaming (Server-Sent Events).

Create a Source

POST $EDGEBRIC_URL/api/v1/sources
Content-Type: application/json

{
  "name": "Project Alpha Docs",
  "description": "Documentation for Project Alpha"
}

Requires read-write or admin permission.

Upload a Document

POST $EDGEBRIC_URL/api/v1/sources/{sourceId}/upload
Content-Type: multipart/form-data

file: <binary file data>

Supported types: PDF, DOCX, TXT, MD (max 50MB). Returns document ID and job ID. The document will be processed asynchronously (text extraction, chunking, embedding, PII detection).

Requires read-write or admin permission.

Check Job Status

GET $EDGEBRIC_URL/api/v1/jobs/{jobId}

Check if a document upload/ingestion job is complete.

Delete a Document

DELETE $EDGEBRIC_URL/api/v1/documents/{documentId}

Requires read-write or admin permission. Always confirm with the user before deleting. Never delete documents without explicit user approval.

Delete a Source

DELETE $EDGEBRIC_URL/api/v1/sources/{sourceId}

Deletes the source and ALL its documents. Requires admin permission. Always confirm with the user before deleting a source — this is a destructive, irreversible operation. Never delete sources without explicit user approval.

Formatting Results

When presenting search results or query answers to the user, always include citations:

According to HR Handbook.pdf (p. 12, Benefits > Time Off), the vacation policy allows...

Format: Document Name (p. Page, Section Path)

If multiple sources contribute to an answer, cite each one.

Error Handling

All errors return JSON:

{
  "error": "Human-readable message",
  "code": "MACHINE_CODE",
  "status": 401
}

Common codes:

  • AUTH_REQUIRED (401): Missing or invalid API key
  • INVALID_KEY (401): Key is revoked or malformed
  • INSUFFICIENT_PERMISSION (403): Key doesn't have required permission level
  • NOT_FOUND (404): Resource doesn't exist or is outside key's scope
  • RATE_LIMITED (429): Too many requests, check Retry-After header
  • INFERENCE_UNAVAILABLE (503): Local LLM not running

Tips

  • /search is almost always better than /query -- you can synthesize better answers with more context
  • Check /discover first to see what sources are available
  • Source IDs filter searches to specific collections -- omit to search everything
  • The API key's scope may limit which sources are visible
  • Documents take a few seconds to process after upload (extraction + embedding)
  • Works with both localhost and network URLs

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

81.65%
按下载量换算1,157

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

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。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

继续浏览同类 Skills