Huashu Info Search
- 602 installs
- 1.3k repo stars
- Updated August 2, 2026
- alchaincyf/huashu-skills
huashu-info-search is a coding-agent skill that runs multi-source searches for new products and technologies, cross-verifies facts, and stores verified knowledge with timestamps and sources for developers researching rec
About
huashu-info-search is an alchaincyf/huashu-skills agent workflow that automatically searches official docs, tech media, and community forums when developers ask about new products or technologies—especially releases within the last three months. It cross-verifies claims across channels, prioritizes authoritative sources such as TechCrunch, The Verge, MIT Technology Review, Reddit, and Hacker News while ignoring stale Zhihu or Baidu posts from before 2025 and content older than six months. Verified findings save to a _knowledge_base/ directory with source URLs and timestamps for later agent retrieval. Search strategies combine topic-plus-year keywords, competitor comparisons, and concept explanations from official announcements, pricing pages, and community threads. Developers reach for huashu-info-search when agents must answer what shipped recently, compare rival frameworks, or compile citable research briefs without manual tab switching. Triggers include phrases about latest information, new products, or searching reference materials in Chinese or English prompts.
- Automatically triggers on mentions of "最新信息", "新产品", "搜索资料", "查资料", or "了解XX"
- Multi-channel search combining official docs, TechCrunch/The Verge, Reddit, Hacker News and Twitter
- Strict source priority: authoritative media and forums first; completely ignores Zhihu, Baidu pre-2025, marketing conten
- Saves every result as timestamped Markdown file in _knowledge_base/ with core findings, data links and source list
- Uses smart keyword patterns such as "topic 2025", "topic best practices" and "topic reddit 2025"
Huashu Info Search by the numbers
- 602 all-time installs (skills.sh)
- Ranked #671 of 3,282 Productivity & Planning skills by installs in the Skillselion catalog
- Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/alchaincyf/huashu-skills --skill huashu-info-searchAdd your badge
Show developers this skill is listed on Skillselion. Paste this into your README.
| Installs | 602 |
|---|---|
| repo stars | ★ 1.3k |
| Last updated | August 2, 2026 |
| Repository | alchaincyf/huashu-skills ↗ |
How do you cross-verify tech product research?
Automatically run multi-source searches for new products and technologies, cross-verify facts, and store verified knowledge with timestamps and sources.
Who is it for?
Developers researching products or frameworks released within the last three months who need agent-driven multi-source verification.
Skip if: Developers analyzing mature technologies with stable docs who do not need freshness filtering or knowledge-base persistence.
When should I use this skill?
A developer asks for latest information, new product research, cross-verified tech facts, or knowledge-base updates on recent releases.
What you get
Timestamped _knowledge_base/ entries with cross-verified sources, competitor notes, and search audit trail
- Cross-verified knowledge-base entries
- Source citation log
- Competitor comparison notes
By the numbers
- Runs 3 search channels: official sources, tech media, and community forums
- Applies 6-month freshness cutoff when accepting trusted sources
- Persists verified entries to _knowledge_base/ with timestamps and source URLs
Files
信息搜索与知识管理
涉及新产品/新技术时，自动执行多渠道搜索、验证信息、保存知识库。
何时使用
- 涉及新产品/新技术（3个月内发布）
- 需要最新信息验证
- 用户说"搜索一下"、"查最新信息"
核心功能
1. 多渠道搜索：官方+媒体+社区 2. 信息源优先级：权威媒体优先，忽略知乎/百度2025年前 3. 知识管理：保存到 _knowledge_base/，标注来源和时间
搜索策略
搜索内容
- 产品/技术的官方信息（发布时间、特性、定价）
- 科技媒体报道（TechCrunch, The Verge, Medium等）
- 社区讨论（Reddit, Hacker News, X/Twitter）
- 竞品对比信息
- 相关概念解释
信息源优先级
✅ 优先采信（半年内）： 1. 权威科技媒体（TechCrunch, The Verge, MIT Tech Review） 2. 社区论坛（Reddit, Hacker News） 3. 官方文档和研究
❌ 完全忽略：
- 知乎、百度：2025年之前的信息全部忽略
- 过时内容：超过半年（6个月）
- 营销软文
关键词组合
- 主题 + 年份：
"AI detection 2025" - 主题 + best practice：
"AI text humanization best practices" - 主题 + Reddit：
"AI writing detection reddit 2025"
知识管理
保存格式
文件命名：[主题]-[时间].md
# [主题]相关信息
**信息收集时间**：2025-XX-XX
**下次更新建议**：2025-XX-XX
## 核心发现
- 发现1
- 发现2
## 数据和链接
- 官方文档：xxx
- 媒体报道：xxx
## 信息来源
1. [来源1](链接)
2. [来源2](链接)保存位置
- 公众号写作：
/公众号写作/_knowledge_base/ - 视频创作：
/视频创作/_knowledge_base/
注意事项
- 所有信息必须标注来源和时间
- 不确定的信息向用户说明
- 信息冲突时，优先采信权威来源
最后更新: 2025-11-07
---
花叔出品 | AI Native Coder · 独立开发者
公众号「花叔」| 30万+粉丝 | AI工具与效率提升
代表作：小猫补光灯（AppStore付费榜Top1）·《一本书玩转DeepSeek》
Related skills
Grill MeHave an agent relentlessly pressure-test their plan or design until every decision branch is resolved and shared understanding is reached.691k196kGrill With DocsPressure-test architecture decisions against their live codebase and living documentation before writing production code.585k196k
Lark CalendarLet their coding agents read, create, and manage events inside Lark (Feishu) Calendar directly from natural language instructions.493kLark ImLet their coding agent send instant notifications, post updates, and receive commands directly inside Lark (Feishu) workspaces.493kLark ContactLet their AI coding agents read and write contacts, send messages, and manage user data inside Lark (Feishu).493kLark AttendanceAutomatically fetch and report daily attendance data from Lark (Feishu) into their own tools or agents.493kHow it compares
Pick huashu-info-search for freshness-filtered multi-source product research; use generic web-search skills when knowledge-base persistence and cross-verification rules are not needed.
FAQ
Where does huashu-info-search store verified findings?
huashu-info-search saves cross-verified research to a _knowledge_base/ directory with source URLs and timestamps after multi-channel validation. Each entry documents which official, media, and community sources agreed on release dates, features, pricing, or competitor claims befo
Which sources does huashu-info-search prioritize?
huashu-info-search prioritizes official documentation, TechCrunch, The Verge, MIT Technology Review, Reddit, and Hacker News from the last six months. The skill ignores Zhihu and Baidu content from before 2025, marketing fluff, and any source older than six months when verifying