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Ifeng
by
codenova58
· GitHub ↗
· v0.1.0
· MIT-0
147
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Install in OpenClaw
/install ifeng
Description
检索凤凰网公开新闻和频道页，提供关键词新闻摘要、频道热点统计及深度报道段落要点提取。
README (SKILL.md)
凤凰网
用途与边界
- 面向公开新闻页与频道页的检索与内容摘要
- 不提供接口逆向或批量抓取能力
- 仅用于公开页面的轻量分析与提醒
关键入口
- 主页：https://www.ifeng.com/
- 要闻/财经/科技频道：频道入口
- 搜索入口：站内搜索
常见任务
- 指定关键词的新闻集合摘要（标题、来源、发布时间、互动指标）
- 频道页的热点条目与题材分布统计
- 深度报道的段落摘要与要点提取
数据字段
- 标题、来源、作者（若标注）、发布时间、正文摘要、标签、链接
- 互动指标（评论数/点赞数，如公开展示）
- 频道名称、采集时间、来源链接
自动化要点
- 动态渲染，需等待页面加载完成后解析
- 频率控制，不进行批量抓取；结果标注采集时间
- 对长文执行段落摘要，避免过度采集
示例流程
- 关键词摘要：输入关键词 → 搜索 → 抽取条目 → 输出摘要清单
- 频道统计：访问频道页 → 抽取热点 → 题材分布与来源统计
- 长文要点：访问文章页 → 抽取小标题与段落 → 输出要点列表
合规提示
- 遵守平台规则，不进行接口调用或批量采集
- 结果仅用于内部分析与提醒
Usage Guidance
This skill appears coherent and only describes scraping public ifeng.com pages for summaries and simple analytics. Before installing, consider: (1) whether automated browsing/scraping of ifeng.com is acceptable under your organization's policies and the site's terms/robots.txt; (2) monitor rate and frequency to avoid accidental bulk scraping; (3) the skill will perform network requests to ifeng.com (no credentials are requested); and (4) if you need more sensitive operations (bulk export, archived datasets, or authenticated access), this skill is not designed for that and you should not rely on it for those tasks.
Capability Analysis
Type: OpenClaw Skill
Name: ifeng
Version: 0.1.0
The skill bundle contains instructions for an AI agent to perform news summarization and trend analysis on the legitimate website ifeng.com. The SKILL.md file outlines clear boundaries, emphasizing lightweight analysis of public news pages and explicitly advising against batch scraping or reverse engineering. No malicious code, data exfiltration, or suspicious prompt injection attempts were found.
Capability Assessment
Purpose & Capability
Name/description ask for public-news retrieval and summarization; SKILL.md only references public ifeng.com pages and search/channel entry points. No unrelated env vars, binaries, or install steps are requested, so required resources match the stated purpose.
Instruction Scope
Runtime instructions stick to reading public news and channel pages, extracting titles, timestamps, summaries, and interaction counts. They explicitly forbid bulk scraping and reverse-engineering, and do not instruct reading local files, unrelated environment variables, or exfiltrating data to third-party endpoints.
Install Mechanism
No install spec and no code files are present (instruction-only). This minimizes on-disk persistence and avoids pulling external packages or archives.
Credentials
The skill declares no required environment variables, credentials, or config paths. That is proportional for a public-site scraping/summary helper.
Persistence & Privilege
always is false and there is no evidence the skill requests elevated or permanent privileges or modifies other skills. Autonomous invocation is allowed by default (normal) but the skill itself does not request extra persistence.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install ifeng - After installation, invoke the skill by name or use
/ifeng - Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.0
Initial release of 凤凰网热门内容技能 ifeng-hot-trend.
- 支持公开新闻与频道页内容的检索与摘要
- 提供关键词新闻集合、频道热点与深度报道要点提取
- 输出包括标题、来源、发布时间及互动指标等字段
- 保证频率友好；仅做轻量分析，不批量抓取
- 强调合规，结果仅用于内部分析和提醒
Metadata
Frequently Asked Questions
What is Ifeng?
检索凤凰网公开新闻和频道页，提供关键词新闻摘要、频道热点统计及深度报道段落要点提取。 It is an AI Agent Skill for Claude Code / OpenClaw, with 147 downloads so far.
How do I install Ifeng?
Run "/install ifeng" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Ifeng free?
Yes, Ifeng is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Ifeng support?
Ifeng is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Ifeng?
It is built and maintained by codenova58 (@codenova58); the current version is v0.1.0.
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