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Agent Skill · 研究检索

edgebric(edgebric 文档)

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。

edgebric 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;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 24,322。

总安装 4,045周安装 172GitHub Stars 公开资料未说明下载 1,417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
0.9.6

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

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。

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。

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 edgebric;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

    它需要接触敏感数据,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

edgebric 怎么安装?

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

edgebric 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。

edgebric 需要什么权限?

权限级别是接触敏感数据。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。

edgebric 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。

edgebric 用的人多吗?

公开数据是累计安装 4,045 次,近一周安装 172 次,下载 1,417 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。

edgebric 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

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 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

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 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
edgebric

edgebric 文档 · 本页

4,045—接触敏感数据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
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

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

接触敏感数据

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。目前只有一个公开来源,建议同时核对源仓库。

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