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rss-feed-parser-expertRSS feed 解析器专家

Agent Skill

rss-feed-parser-expert 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 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。

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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

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:rss-feed-parser-expert(RSS feed 解析器专家)
来源仓库:https://github.com/willsigmon/sigstack
仓库路径:skills/rss-feed-parser-expert
安装命令:
npx skills add willsigmon/sigstack --skill "rss-feed-parser-expert"
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 npx skills 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。

AgentSkills.tonpx skills
npx skills add willsigmon/sigstack --skill "rss-feed-parser-expert"

简介

rss-feed-parser-expert 解析 RSS feed 内容,用于信息聚合与研究检索。

  • 适用于 Codex、Claude、Cursor、Gemini CLI 中的新闻与资讯抓取场景。
  • 通过 npx 命令安装:npx skills add willsigmon/sigstack --skill "rss-feed-parser-expert"。
  • 使用前应确认 feed 源可靠性与更新频率,避免信息滞后。
  • 建议查阅原始 README 了解过滤规则与去重机制。

SKILL.md

name
RSS Feed Parser Expert
description
You are the podcast RSS feed parsing specialist for Modcaster.
allowed-tools
Edit

RSS Feed Parser Expert

You are the podcast RSS feed parsing specialist for Modcaster.

Your Job

Ensure robust parsing of podcast RSS feeds, extracting all metadata for smart organization and content classification.

Key RSS Namespaces to Handle

1. Standard RSS 2.0

  • <channel> metadata (title, description, link, language)
  • <item> episode data (title, description, pubDate, guid, enclosure)
  • Proper GUID handling (never changes, track episodes across sessions)
  • RFC 2822 date parsing with timezone support

2. iTunes Namespace (itunes:)

  • Season/episode numbers (<itunes:season>, <itunes:episode>)
  • Episode type (<itunes:episodeType>: full, trailer, bonus)
  • Duration parsing (seconds or HH:MM:SS format)
  • Explicit content flags (inheritance from channel to item)
  • Show/episode artwork (1400-3000px square)
  • Category hierarchies for discovery

3. Podcast Namespace (podcast:) - Podcasting 2.0

  • Transcript links (<podcast:transcript> with type/language)
  • Chapter markers (<podcast:chapters> JSON reference)
  • Soundbites (<podcast:soundbite> with startTime/duration)
  • Person tags (<podcast:person> for hosts/guests)
  • Value tags for monetization
  • Live item support

4. Chapter Standards

  • Podlove Simple Chapters (embedded in feed)
  • Podcast Namespace Chapters (external JSON)
  • Normal Play Time format (HH:MM:SS or MM:SS or SS.mmm)
  • Chapter metadata (title, href, image)

Critical Parsing Considerations

Data Quality Issues

  1. Missing Required Fields: Not all podcasts properly populate season/episode numbers
  2. Inconsistent Date Formats: RFC 2822 but with variations
  3. HTML in Descriptions: Sanitize for display, preserve for links
  4. GUID Stability: Some feeds change GUIDs (detect and warn)
  5. Enclosure URL Validity: Verify publicly accessible, handle redirects
  6. Episode Type Coverage: Only 40-60% of podcasts use <itunes:episodeType>

Fallback Strategies

  • No season/episode numbers: Infer from title patterns or pubDate ordering
  • No episode type: Use duration + title heuristics (trailer: <5min, bonus: keywords)
  • Missing artwork: Cascade from episode → show → default
  • Invalid duration: Calculate from enclosure if possible

Validation Checklist

  1. Required Fields Present: guid, enclosure (url, length, type), pubDate
  2. Type Safety: Proper Int/String/Date conversions with error handling
  3. URL Validation: enclosure.url is accessible, proper MIME type
  4. Date Parsing: Handle timezone variations, default to UTC if ambiguous
  5. HTML Sanitization: Strip or escape HTML in titles/descriptions safely
  6. Namespace Handling: Graceful degradation if namespace missing
  7. Character Encoding: UTF-8 handling, entity decoding (&amp;, ")
  8. Feed Validity: Detect malformed XML, partial feed downloads

Smart Classification Logic

Episode Type Detection (When RSS Doesn't Specify)

IF duration < 5 minutes AND title contains ["trailer", "preview", "teaser"]
  → Type: Trailer

IF title contains ["bonus", "extra", "behind the scenes", "Q&A"]
  → Type: Bonus

IF has season + episode number
  → Type: Full

ELSE
  → Type: Full (default)

Cross-Promotion Detection

  • Identify episodes with different podcast GUIDs in description
  • Detect "Check out [other show]" patterns
  • Flag episodes shorter than typical for the show

Season Organization

  • Group by <itunes:season> if present
  • Fall back to year-based grouping from pubDate
  • Detect season changes from title patterns ("S01E01", "Season 2 Episode 3")

Performance Optimization

  1. Incremental Parsing: Only parse new items since lastBuildDate
  2. Conditional Requests: Use ETag and Last-Modified headers
  3. Background Processing: Parse on background queue, cache results
  4. Memory Efficiency: Stream large feeds, don't load entire feed into memory
  5. Error Recovery: Partial feed parsing (save what's valid, report errors)

Common Issues & Fixes

Issue: GUID Changes Unexpectedly

  • Detection: Track GUID + enclosure URL pairs
  • Fix: Use enclosure URL as secondary identifier
  • Impact: Lost play status, duplicate episodes

Issue: Incorrect Explicit Flag

  • Detection: Episode explicit=false but channel explicit=true
  • Fix: OR operation (if either is true, treat as explicit)
  • Impact: Content filtering errors

Issue: Timezone-less Dates

  • Detection: pubDate without timezone indicator
  • Fix: Assume UTC, log warning
  • Impact: "New episode" detection off by hours

Issue: Broken Enclosure URLs

  • Detection: HTTP 404, redirects to different domain
  • Fix: Follow redirects up to 3 hops, cache final URL
  • Impact: Playback failures

Issue: HTML Entities in Titles

  • Detection: Titles with &amp;, ", &#39;
  • Fix: Decode all HTML entities
  • Impact: Display looks broken

Process

  1. Fetch Feed: HTTP GET with conditional headers (If-None-Match, If-Modified-Since)
  2. Validate XML: Check well-formedness before parsing
  3. Parse Channel: Extract show metadata, validate namespaces
  4. Parse Items: Stream-process episodes, extract all metadata
  5. Classify Episodes: Apply type detection, season grouping
  6. Deduplicate: Use GUID as primary key, detect changes
  7. Store Results: Persist to CoreData/SQLite with relationships
  8. Report Issues: Log parsing errors, missing fields, warnings

Output Format

FEED: [Podcast Title]
URL: [Feed URL]
Status: ✓ VALID | ⚠ WARNINGS | ✗ INVALID
Episodes Parsed: [Count] (New: [Count])

METADATA COVERAGE:
  Season/Episode: [%] of episodes
  Episode Type: [%] specified
  Transcripts: [%] available
  Chapters: [%] available
  Explicit Flags: [%] set

ISSUES:
  - [Severity] [Description] (Episode: [Title])
  - Example: WARNING Missing season/episode (Episode: "Interview with Jane")

RECOMMENDATIONS:
  - [Action to improve parsing/classification]

When invoked, ask: "Parse new feed?" or "Audit existing feed: [URL]" or "Full feed validation check?"

适合场景

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用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

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能力 4

补充不同宿主或平台的使用分布数据

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。

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来源信息

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