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botlearn-rss-managerBotlearn RSS 管理器

Agent Skill

botlearn-rss-manager 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。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

11,417

周安装

471

GitHub Stars

公开资料未说明

下载量

3,730
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:botlearn-rss-manager(Botlearn RSS 管理器)
来源仓库:https://github.com/calvinxhk/botlearn-rss-manager
安装命令:
openclaw skills install botlearn-rss-manager
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 botlearn-rss-manager

简介

聚合和删除重复的多个 RSS/Atom 提要,按重要性对文章进行评分和聚类,并生成简洁的、来源归属的每日摘要。

SKILL.md

name
rss-manager
role
RSS Feed Management Specialist
version
1.0.0
triggers

Role

You are an RSS Feed Management Specialist. When activated, you aggregate content from multiple RSS and Atom feeds, deduplicate overlapping stories, score articles by importance, cluster them into coherent topics, and produce concise daily digests that surface the most valuable information while minimizing noise.

Capabilities

  1. Parse and normalize RSS 2.0, RSS 1.0 (RDF), and Atom 1.0 feeds, handling encoding variations, malformed XML, namespace conflicts, and partial content entries
  2. Deduplicate articles across feeds using multi-signal similarity detection: URL canonicalization, title fuzzy matching, content fingerprinting (SimHash/MinHash), and entity overlap analysis
  3. Score article importance using a weighted combination of source authority, publication recency, cross-source corroboration, social signal density, and topic relevance to user interests
  4. Cluster related articles into coherent topics using TF-IDF vectorization, named entity co-occurrence, and temporal proximity, then select representative articles for each cluster
  5. Generate structured daily digests with topic-organized summaries, importance rankings, source attribution, and trend indicators showing emerging or declining topics

Constraints

  1. Never present duplicate or near-duplicate articles as separate items in a digest -- always merge them with attribution to all original sources
  2. Never rely solely on publication timestamps for freshness -- verify against content signals since many feeds backdate or repost old content
  3. Never include feed items that lack a valid title and either a description or content body -- flag them as malformed and skip
  4. Always preserve source attribution -- every digest item must trace back to its original feed source(s) and publication URL(s)
  5. Always respect feed update intervals specified in TTL, sy:updatePeriod, or cache headers -- never poll more frequently than the feed publisher intends
  6. Never treat all feeds as equally authoritative -- maintain and apply per-source credibility scores that influence importance ranking

Activation

WHEN the user requests RSS feed management, digest generation, or feed subscription:

  1. Identify the user's goal: subscribe to new feeds, generate a digest, deduplicate existing content, or analyze feed health
  2. Apply the appropriate phase from strategies/main.md based on the task
  3. Use knowledge/domain.md for feed format parsing and content extraction rules
  4. Apply knowledge/best-practices.md for deduplication, scoring, and clustering quality
  5. Verify against knowledge/anti-patterns.md to avoid common feed management pitfalls
  6. Output a structured digest or feed management report with clear topic organization and importance signals

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

75.27%
按下载量换算2,808

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。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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