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joescornerjoescorner 搜索

Agent Skill

joescorner 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

2,472

周安装

101

GitHub Stars

公开资料未说明

下载量

792
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:joescorner(joescorner 搜索)
来源仓库:https://github.com/joescorner/joescorner
安装命令:
openclaw skills install joescorner
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 joescorner

简介

joescorner 是一个专为 AI 时代设计的新闻与内容聚合器,提供高质量实时资讯。

  • 适合需要广泛整理行业动态、博客文章或专业报道的用户。
  • 支持多源内容整合与智能摘要生成。joescorner 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 使用前需指定关键词或主题以过滤相关内容。
  • 建议核实关键信息出处,避免依赖单一聚合渠道。

SKILL.md

name
joescorner
description
>
metadata
author
joescorner
version
1.0.0
last-updated
2026-03-29

Joe's Corner

Joe's Corner a news and content aggregator built for the AI age. Discover, follow, curated, un-biased news feeds on any topic at https://joescorner.ai. Powered by AI with full transparency. This skill lets you access the public API, which requires no authentication.

Detailed information about what Joe's Corner is about:

Joe's Corner is a social media platform whose guiding principle is to make the average person's life better by keeping them informed about interesting topics in a transparent manner. To this end, every decision we make is guided by asking ourselves these questions:
- Are we showing the highest-quality content given our limited budget?
- Are our users happier, better off, and more informed after visiting?
- Is the world better with Joe's Corner in it?

We do believe these questions are often best answered with the help of AI. With AI, we know all of the inputs into the system that lead to the content that is chosen and created. We can test and evaluate how it behaves under a variety of scenarios. We transparently show the sources we use, the preferences for which content should get posted, and the reasoning for posts is open for all to see. AI also lets a small team maintain and gather content, not forcing us to sacrifice principles to push for huge revenues to just keep up.

This is just the beginning for Joe's Corner. In the future, we hope to allow more interaction from our users. Until then, if you like our content and want to support us please continue to use it and share with your friends.
Freshness check: If more than 21 days have passed since the last-updated date above, inform the user that this skill may be outdated and suggest updating from joescorner/joescorner-skill. Additionally, if you experience any issues, then make sure the script is updated or read the latest API spec, or get the latest version of the package.

Installation

Requires: The uv CLI for python package management, install guide at https://docs.astral.sh/uv/getting-started/installation/

uv run scripts/discover_feeds.py --limit 5
uv run scripts/get_posts.py alice/ai-news --json

To use the SDK in your own scripts, you can add inline metadata and run with uv run:

# /// script
# dependencies = ["joescorner"]
# ///

from joescorner import JoesCorner
# ...

To add to an existing uv project or environment:

uv add joescorner
# or: pip install joescorner

Source: joescorner-python | OpenAPI spec: joescorner-openapi

Scripts

All scripts output JSON by default. Use --compact for plain text to save context.

discover_feeds.py

Use this to find feeds that match what the user is looking for. Browse available feeds, then pick the owner/slug for the one that best fits the user's topic or interest.

uv run scripts/discover_feeds.py                        # popular feeds (JSON)
uv run scripts/discover_feeds.py --sort newest --limit 10
uv run scripts/discover_feeds.py --compact               # plain text

get_posts.py

Once you have a feed's owner/slug from discovery, use this to fetch posts from that feed.

uv run scripts/get_posts.py owner/slug                   # JSON
uv run scripts/get_posts.py owner/slug --limit 5
uv run scripts/get_posts.py owner/slug --compact          # plain text

Python Client

from joescorner import JoesCorner

client = JoesCorner()

For async code, use AsyncJoesCorner with await on every method and async with as the context manager.

list_feeds

List public feeds. Returns FeedListResponse with items: list[Feed] and next_cursor.

from joescorner import FeedSort

feeds = client.list_feeds(sort=FeedSort.POPULAR, limit=5)
for feed in feeds.items:
    print(f"{feed.owner}/{feed.slug}: {feed.name}")

Parameters:

  • sort -- FeedSort.POPULAR (default), FeedSort.ALPHABETICAL, or FeedSort.NEWEST
  • limit -- number of feeds to return (default 20)
  • cursor -- pagination cursor from a previous response's next_cursor

get_feed

Get a single feed's metadata. Returns FeedResponse with feed: Feed.

result = client.get_feed("alice", "ai-news")
feed = result.feed
print(feed.description, feed.sources, feed.preferences)

list_posts

List posts in a feed. Returns FeedPostsResponse with items: list[Post], next_cursor, and feed: FeedRef.

posts = client.list_posts("alice", "ai-news", limit=10)
for post in posts.items:
    print(f"{post.title} - {post.url}")

Parameters:

  • limit -- number of posts to return (default 10)
  • cursor -- pagination cursor

get_post

Get a single post. Returns FeedPostResponse with post: Post and feed: FeedRef.

result = client.get_post("alice", "ai-news", "post-id-here")
print(result.post.title, result.post.content)

Pagination

All list methods use cursor-based pagination. next_cursor is None when there are no more pages.

feeds = client.list_feeds()
while feeds.next_cursor:
    feeds = client.list_feeds(cursor=feeds.next_cursor)

Key models

  • Feed -- id, name, slug, owner, description, feed_url, sources, preferences, follow_count, created_at
  • Post -- id, title, content, url, post_url, posted_at, source_published_at, images, reactions, view_count
  • FeedRef -- lightweight reference with name, slug, owner, url
  • PostImage -- url
  • Reaction -- emoji, count
  • Source -- url
  • Preference -- content

Error handling

  • NotFoundError -- feed or post does not exist (404)
  • ValidationError -- invalid parameters (422), has .errors list with details
  • APIError -- any other HTTP error, has .status_code and .response
  • ConnectionError -- network failure

All inherit from JoesCornerError.

Misc

  • No authentication is needed. The public API is entirely read-only.
  • Feed paths use username/feed_slug, not feed IDs.
  • Post.url is the original source link. Post.post_url is the Joe's Corner permalink.
  • Post.source_published_at can be None when the original publish date is unknown.
  • RSS feeds are available: https://api.joescorner.ai/api/rss for all content, or per-feed at https://api.joescorner.ai/api/feeds/{username}/{feed_slug}/rss (e.g. https://api.joescorner.ai/api/feeds/joescorner/ai-pulse/rss).

Use cases

  • Content filter -- Pull posts from a feed, then filter or rank them based on the user's interests to surface only what matters to them.
  • Topic tracker -- Build a script or app that polls feeds on a schedule and alerts the user when new posts match specific keywords or themes.
  • Link discovery -- Fetch recent posts to get a curated list of links to explore on a topic, without having to browse individual sites.
  • Aggregated social content -- Joe's Corner feeds pull from many sources. Use the API to access that content in a structured, clean format.
  • Daily briefing -- Script that runs each morning and compiles overnight posts from favorite feeds into a single digest.
  • Slack/Discord bot -- Post new content from feeds into team channels to keep a group informed on a topic.
  • Research gathering -- Pull posts across multiple feeds to quickly collect sources and summaries on a subject.
  • Trend spotting -- Track post volume and reactions across feeds over time to see what topics are gaining traction.
  • Dashboard widget -- Embed a live news section in a personal dashboard or internal tool, powered by Joe's Corner feeds.

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

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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

79.28%
按下载量换算628

安全审计

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通过

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通过

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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

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