ai-news-collector

AI 新闻聚合与热度排序工具。当用户询问 AI 领域最新动态时触发，如："今天有什么 AI 新闻？""总结一下这周的 AI 动态""最近有什么火的 AI 产品？""AI 圈最近在讨论什么？"。覆盖：新产品发布、研究论文、行业动态、融资新闻、开源项目更新、社区病毒传播现象、AI 工具/Agent 热门项目。输出中文...

Security Scan

This is an instruction-only AI news-aggregation skill whose requested actions, resources, and outputs are consistent with its stated purpose (collecting and ranking AI news); it does not request credentials or install software, but it assumes network fetching capabilities that you should confirm are available and acceptable.

Purpose & Capability

Name and description match the instructions: the skill is a news collector that performs multi-dimensional web searches, cross-checks, scores, deduplicates and outputs ranked summaries in Chinese. It does not request credentials, binaries, or installs, which is proportionate for a scraper/aggregator.

Instruction Scope

Instructions are detailed and stay within news-collection scope (search, fetch full text, cross-check, dedupe, rate/score, produce 15–25 ranked items). They explicitly require many searches (8–12) and fetching full articles (including community sites and social media). They do not instruct reading local files or environment variables. Note: the SKILL.md calls out using a 'web_fetch' action to retrieve full texts — that runtime capability is assumed but not declared in the skill metadata.

Install Mechanism

No install spec and no code files are present, so nothing is written to disk or downloaded. This is the lowest-risk pattern for a skill of this type.

Credentials

The skill requests no environment variables, credentials, or config paths, which is appropriate for a public news aggregator. However, because it does not request official API keys (Twitter/X, GitHub, paywalled sources), the instructions imply web scraping rather than authenticated API use — a design choice with reliability and ToS implications but not a direct credential risk.

Persistence & Privilege

always is false and the skill does not ask to persist tokens or modify other skill configs. Autonomous invocation is allowed by default (platform behavior) — that is normal for skills and not a problem here by itself.

Assessment

This skill appears to do what it says: perform many targeted web searches, fetch full articles, and synthesize ranked AI news. Before installing, confirm that your agent environment provides a safe/approved web-fetch capability (the SKILL.md expects a 'web_fetch' tool), and consider the following: (1) scraping community sites and social feeds may hit rate limits or violate site ToS — using official APIs (which require keys) could be preferable; (2) the skill will retrieve and send external web content to the model at runtime, so be aware of potential privacy or content-handling concerns and any sensitive data that may appear in fetched pages; (3) it may perform many outbound requests (8–12+ per run), which can incur network costs or rate-limit issues; (4) the skill marks paywalled items as '需订阅' but does not instruct bypassing paywalls — ensure you are comfortable with how paywalled content will be handled. If you want stronger guarantees, request that the skill declare required tools (web_fetch or specific API integrations) or switch to authenticated APIs for social platforms to improve reliability and compliance.

收集、聚合并按热度排序 AI 领域新闻。

核心原则

不要只搜"AI news today"。 泛搜索返回的是 SEO 聚合页和趋势预测文章，会系统性遗漏社区级病毒传播现象（如开源工具爆火、Meme 级事件）。必须用多维度、分层搜索策略。

工作流程

1. 多维度分层搜索（最少 8 次，建议 10-12 次）

按以下 6 个维度 依次执行搜索，每个维度至少 1 次：

维度 A：周报/Newsletter 聚合（最优先 🔑）

这是信息密度最高的来源，一篇文章可覆盖 10+ 条新闻。

搜索词：
- "last week in AI" [当前月份年份]
- "AI weekly roundup" [当前月份年份]
- "the batch AI newsletter"
- site:substack.com AI news [当前月份]

发现周报后，用 web_fetch 获取全文，从中提取所有新闻线索。

维度 B：社区热度/病毒传播（关键维度 🔑）

捕捉自下而上的社区爆款，这类信息泛搜索几乎无法触达。

搜索词：
- "viral AI tool" OR "viral AI agent"
- "AI trending" site:reddit.com OR site:news.ycombinator.com
- "GitHub trending AI" OR "AI open source trending"
- AI buzzing OR "everyone is talking about" AI
- "most popular AI" this week

维度 C：产品发布与模型更新

搜索词：
- "AI model release" OR "LLM launch" [当前月份]
- "AI product launch" [当前月份年份]
- OpenAI OR Anthropic OR Google OR Meta AI announcement
- "大模型 发布" OR "AI 新产品"

维度 D：融资与商业

搜索词：
- "AI startup funding" [当前月份年份]
- "AI acquisition" OR "AI IPO"
- "AI 融资" OR "人工智能投资"

维度 E：研究突破

搜索词：
- "AI breakthrough" OR "AI paper" [当前月份]
- "state of the art" machine learning
- "AI 论文" OR "机器学习突破"

维度 F：监管与政策

搜索词：
- "AI regulation" OR "AI policy" [当前月份年份]
- "AI law" OR "AI governance"
- "AI 监管" OR "人工智能法案"

2. 交叉验证与补漏

初轮搜索完成后，检查是否有遗漏：

• 如果 Newsletter 中提到了某个项目/事件但初轮搜索未覆盖 → 对该项目专项搜索
• 如果同一事件被 3+ 个不同来源提及 → 大概率是热点，深入搜索获取更多细节
• 如果中文媒体和英文媒体的热点完全不同 → 两边都要覆盖

3. 搜索关键词设计原则（反模式清单）

❌ 不要这样搜	✅ 应该这样搜	原因
"AI news today February 2026"	"AI weekly roundup February 2026"	前者返回聚合页，后者返回策划内容
"AI news today"	"viral AI tool" + "AI model release" 分开搜	泛搜无法覆盖社区现象
"artificial intelligence breaking news"	按维度分类搜索	过于宽泛，返回噪音
搜索词中加具体年月日	用 "this week" "today" "latest"	日期反而会偏向预测/展望文章
只搜 3 次就开始写	至少 8 次，覆盖 6 个维度	3 次搜索覆盖率不到 30%

4. 热度综合判断

基于以下信号评估每条新闻热度（1-5 星）：

信号	权重	说明
多家媒体报道同一事件	⭐⭐⭐ 高	3+ 来源 = 确认热点
社区病毒传播证据	⭐⭐⭐ 高	GitHub star 暴涨、Twitter 刷屏、HN 首页
来自权威来源（顶会、大厂官宣）	⭐⭐⭐ 高	但注意大厂 PR 不等于真热点
实际用户体验分享	⭐⭐ 中	有人真的在用 > 只是发布了
技术突破性/影响范围	⭐⭐ 中
争议性（安全、伦理讨论）	⭐⭐ 中	争议往往说明影响力大
时效性（越新越热）	⭐ 中低	辅助排序

5. 输出格式

按热度降序排列，输出 15-25 条新闻：

## 🔥 AI 新闻速递（YYYY-MM-DD）

### ⭐⭐⭐⭐⭐ 热度最高

1. **[新闻标题]**
   > 一句话摘要（不超过 50 字）
   > 🔗 [来源名称](URL)

### ⭐⭐⭐⭐ 高热度

2. ...

### ⭐⭐⭐ 中等热度

...

---
📊 本次共收集 XX 条新闻 | 搜索 XX 次 | 覆盖维度：A/B/C/D/E/F | 更新时间：HH:MM

6. 去重与合并

• 同一事件被多家报道时，合并为一条，选择最权威/详细的来源
• 在摘要中注明"多家媒体报道"以体现热度
• 改名/更名的项目视为同一事件（如 Clawdbot → Moltbot → OpenClaw）

推荐新闻源

详见 references/sources.md。

注意事项

• 优先使用 HTTPS 链接
• 遇到付费墙/无法访问的内容，标注"需订阅"
• 保持客观，不对新闻内容做主观评价
• 搜索不足 8 次不要开始输出
• 如果某个维度搜索结果为空，换关键词再搜一次