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edith-senso-ingest伊迪丝·森索摄取

Agent Skill

edith-senso-ingest 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

3,248

周安装

134

GitHub Stars

公开资料未说明

下载量

1,061
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:edith-senso-ingest(伊迪丝·森索摄取)
来源仓库:https://github.com/samdickson22/edith-senso-ingest
安装命令:
openclaw skills install edith-senso-ingest
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 edith-senso-ingest

简介

通过 Edith 智能眼镜将文档提取到您的 Senso.ai 知识库中。当用户想要将内容添加到其知识库时触发。

SKILL.md

name
edith-senso-ingest
description
Ingest documents into your Senso.ai knowledge base through Edith smart glasses. Triggers when user wants to add content to their knowledge base.
user-invocable
true

Senso Content Ingestion

Ingest documents and content into the user's Senso.ai knowledge base so it becomes searchable through Edith smart glasses.

When to use

Activate this skill when the user wants to add, upload, or ingest content into their knowledge base. Examples:

  • "Add this to my knowledge base..."
  • "Ingest this document..."
  • "Store this information..."
  • "Remember this for later..." (when referring to document-scale content, not short notes)
  • "Upload this to Senso..."
  • "Index this content..."

Do NOT use this skill for simple note-taking or reminders. This is for ingesting substantial content that should be searchable later.

Setup

The user must have a Senso.ai API key configured. If not, tell them:

  1. Sign up at https://senso.ai and create a project
  2. Go to Settings > API Keys and generate a new key
  3. Tell OpenClaw: "My Senso API key is sk-..." and store it for future use

The API key should be stored in OpenClaw's memory/config as SENSO_API_KEY.

How to ingest content

Use the exec tool to call the Senso.ai content ingestion endpoint:

curl -s -X POST "https://sdk.senso.ai/api/v1/content/raw" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: ${SENSO_API_KEY}" \
  -d '{"content": "<text content to ingest>", "metadata": {"title": "<optional title>", "source": "<optional source>"}}'

Ingesting from a file

If the user provides a file path, read it first and then send the content:

curl -s -X POST "https://sdk.senso.ai/api/v1/content/raw" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: ${SENSO_API_KEY}" \
  -d @- <<'BODY'
{
  "content": "<file contents>",
  "metadata": {
    "title": "<filename>",
    "source": "file"
  }
}
BODY

For large files, consider chunking the content into logical sections before ingesting.

Formatting responses for Edith voice output

Edith speaks responses through smart glasses speakers. Keep confirmations brief:

  1. Confirm success simply. Say "Done, I've added that to your knowledge base" or "Got it, that's been indexed."
  2. Mention what was ingested. Say "I've added the return policy document to your knowledge base" so the user knows what happened.
  3. No technical details. Don't mention API responses, document IDs, chunk counts, or byte sizes.
  4. If it fails, be clear. Say what went wrong in plain language.

Example

User: "Hey Edith, add this meeting summary to my knowledge base: We decided to launch the new product line in Q3 and increase the marketing budget by 20 percent."

Good response: "Done, I've added your meeting summary to your knowledge base."

Bad response: "I have successfully ingested 1 document containing 147 characters into your Senso.ai knowledge base. The document ID is doc_abc123 and it was chunked into 1 segment."

Error handling

  • Missing API key: "You haven't set up your Senso knowledge base yet. You'll need a Senso API key. Visit senso.ai to get one, then tell me the key."
  • 401 Unauthorized: "Your Senso API key seems invalid. Please check it and try again."
  • Content too large: Split the content into smaller pieces and ingest each separately. Confirm with "I've added your document in multiple parts to your knowledge base."
  • Network/timeout error: "I couldn't reach your knowledge base right now. Try again in a moment."
  • Empty content: "There's no content to add. Tell me what you'd like to store in your knowledge base."

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

70.36%
按下载量换算747

安全审计

VirusTotal

可疑

ClawScan

可疑

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。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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