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github-ai-daily-reportGitHub AI daily report 搜索

Agent Skill

用于围绕 GitHub 仓库、Issue、Pull Request、分支、提交和代码协作流程提供辅助能力。它适合让 Agent 查询项目状态、整理变更、辅助创建或检查协作事项,并把仓库中的信息转成可执行的下一步。使用时需要区分只读查询和写入操作;涉及创建 PR、修改 Issue、推送分支或访问私有仓库时,应确认 token 权限、目标仓库范围和用户授权。

总安装

2,644

周安装

108

GitHub Stars

公开资料未说明

下载量

847
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:github-ai-daily-report(GitHub AI daily report 搜索)
来源仓库:https://github.com/ssyvonne/github-ai-daily-report
安装命令:
openclaw skills install github-ai-daily-report
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 github-ai-daily-report

简介

用于每日汇总 GitHub 上热门 AI/LLM/agent 项目及黑客新闻讨论。

  • 适合生成结构化报告并发送价值分析结果。github-ai-daily-report 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 通过 clawhub 安装后,自动抓取信息并格式化输出。
  • 依赖外部数据源,需确保网络连通性和 API 可用性。
  • 建议设置定时任务以实现持续监控和推送。

SKILL.md

name
ai-daily-report
description
Daily AI digest skill. Fetches trending GitHub AI/LLM/agent projects and Hacker News discussions, formats a structured report with value analysis, sends it to a user via Feishu, and prepends it to a Feishu document (newest-first). Use when asked to run, generate, or schedule a daily AI report. Triggers on phrases like "run AI daily report", "generate today's AI digest", "日报", "AI日报".

AI Daily Report Skill

Fetch trending AI/LLM projects from GitHub and HN, format a structured daily digest, deliver it via Feishu message, and prepend to a Feishu doc (newest-first order).


Configuration

Before first use, replace these placeholders in the steps below:

PlaceholderWhat to fill in
YOUR_FEISHU_USER_OPEN_IDYour Feishu open_id (starts with ou_)
YOUR_DAILY_DOC_TOKENFeishu doc token for your daily digest archive
YOUR_BACKLOG_DOC_TOKENFeishu doc token for your project backlog/TODO list (optional)

Step 1 — Fetch Content

Use web_search to find today's trending AI projects. Do not fetch github.com/trending directly (blocked).

Recommended searches:

  • "github trending AI agent LLM today"
  • "github trending python AI machine learning today"
  • "hacker news AI tools today"

Filter criteria: AI Agent / LLM / automation tooling. Prioritize projects with clear practical value.


Step 2 — Format the Report

For each selected project, include all four fields — no one-liners:

  • What it is: One sentence on the problem it solves
  • Pain point: What was the old approach, what does this improve
  • Value: Concrete use case for you or your team
  • Follow-up: Effort level (low/medium/high), worth tracking?

Report structure:

# YYYY-MM-DD GitHub AI Hot List

## 🔥 Top 3 Today
[project entries]

## 🤖 Most Relevant for AI Agents
[project entries]

## 📋 Recommended Quick Start
Pick 1 low-effort, high-value project. Explain why in 2–3 sentences.

---

Step 3 — Send & Archive

3a — Send via Feishu

message tool:
  channel: feishu
  target: user:YOUR_FEISHU_USER_OPEN_ID
  message: <full report>

3b — Prepend to Feishu document (newest-first)

⚠️ Never use feishu_doc append — it adds to the bottom.

Steps:

  1. feishu_doc list_blocks with doc_token: YOUR_DAILY_DOC_TOKEN
  2. Find the Page block (type=Page), note its block_id as PAGE_ID
  3. feishu_doc insert with:

- parent_block_id = PAGE_ID - index = 0 - Content: today's full report in Markdown

  1. Title format: # YYYY-MM-DD GitHub AI Hot List
  2. End with a --- divider

3c — Log to backlog (optional)

If any project is worth tracking, append to your backlog doc:

  • doc_token: YOUR_BACKLOG_DOC_TOKEN, section 📥 Backlog
  • Format: - 🔲 **ProjectName** \dimension\ \priority\ \source: GitHub YYYY-MM-DD\ — one-line value summary

Step 4 — Summary

After completing all steps, output:

  • Number of projects covered
  • Archive status (inserted at position #1 in doc)
  • Recommended quick-start project

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

97.28%
按下载量换算824

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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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