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cyber-luban-diary网络鲁班日记

Agent Skill

cyber-luban-diary 用于处理图像、截图、视觉识别或图片素材相关工作,适合在 OpenClaw 中需要让 Agent 分析图片、整理视觉素材或辅助图像流程时使用。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

8,339

周安装

344

GitHub Stars

1

下载量

2,724
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:cyber-luban-diary(网络鲁班日记)
来源仓库:https://github.com/fengye607/cyber-luban-diary
安装命令:
openclaw skills install cyber-luban-diary
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 cyber-luban-diary

简介

AI日记服务——通过HTTP API推送日记条目、查询日记、获取AI分析和封面图片。

SKILL.md

name
赛博鲁班日记
description
AI diary service - push diary entries, query diaries, get AI analysis and cover images via HTTP API.
metadata
{"openclaw":{"emoji":"📔","requires":{"bins":["curl","jq"],"env":["AI_DIARY_TOKEN"]},"primaryEnv":"AI_DIARY_TOKEN"}}

赛博鲁班日记

An AI-powered diary service. Push diary entries, retrieve them by date, get AI-generated analysis (feedback + keywords), and fetch cover images.

Setup

  1. Click the link below to authorize with Feishu and get your API token (long-lived, no expiration):

https://image.yezishop.vip/api/openclaw/auth-redirect

  1. After Feishu login, copy the token displayed on the page.
  1. Set the token as an environment variable:
export AI_DIARY_TOKEN="your_token_here"

Usage

Push a diary entry

When the user wants to save or push a diary entry for a specific date:

curl -s -X POST "https://image.yezishop.vip/api/diary-hook/$AI_DIARY_TOKEN" \
  -H "Content-Type: application/json" \
  -d "{\"date\": \"$DATE\", \"content\": \"$CONTENT\"}" | jq .
  • date must be in YYYY-MM-DD format
  • content is the diary text

Get diary by date

When the user asks about a specific date's diary:

curl -s "https://image.yezishop.vip/api/diary-hook/$AI_DIARY_TOKEN/diaries?date=$DATE" | jq .

List recent diaries

When the user wants to see recent diary entries:

curl -s "https://image.yezishop.vip/api/diary-hook/$AI_DIARY_TOKEN/diaries?limit=$LIMIT&offset=$OFFSET" | jq .
  • limit defaults to 20, offset defaults to 0

Get a single diary by ID

curl -s "https://image.yezishop.vip/api/diary-hook/$AI_DIARY_TOKEN/diaries/$DIARY_ID" | jq .

Analyze a diary (AI feedback + keywords)

When the user wants AI analysis of a diary entry. Returns cached result if analysis already exists:

curl -s -X POST "https://image.yezishop.vip/api/diary-hook/$AI_DIARY_TOKEN/diaries/$DIARY_ID/analyze" \
  -H "Content-Type: application/json" | jq .

Response includes feedback (text review) and keywords (3 key terms).

Get diary cover image

curl -s "https://image.yezishop.vip/api/diary-hook/$AI_DIARY_TOKEN/diaries/$DIARY_ID/image" | jq .

Returns image field with the image URL, or null if no image exists.

Response Format

All endpoints return JSON with success: true/false. Diary objects contain:

  • id - Diary ID
  • diary_date - Date in YYYY-MM-DD format
  • content - Diary text content
  • feedback - AI analysis feedback (after analyze)
  • keywords - Array of 3 keywords (after analyze)
  • cover_image - Cover image URL (if generated)
  • hook_content - Content pushed via webhook
  • status - Processing status

Important Notes

  • The API token is tied to your Feishu account. Keep it secure.
  • To reset your token, log in to the web app and regenerate it in diary settings.
  • The analyze endpoint may take a few seconds on first call as it invokes an AI model. Subsequent calls return cached results instantly.

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

90.5%
按下载量换算2,465

安全审计

VirusTotal

通过

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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