Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add ssmurfgg04-gif/context-m --skill ai-news-collectorsgit clone --depth 1 https://github.com/ssmurfgg04-gif/context-mWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/ssmurfgg04-gif/context-m/ai-news-collectors)<a href="https://agentmods.dev/skills/ssmurfgg04-gif/context-m/ai-news-collectors"><img src="https://agentmods.dev/badge/skills/ssmurfgg04-gif/context-m/ai-news-collectors/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/ssmurfgg04-gif/context-m/ai-news-collectors"><img src="https://agentmods.dev/badge/skills/ssmurfgg04-gif/context-m/ai-news-collectors.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00112 | $0.01505 |
| Opus 5 | $0.00056 | $0.00753 |
| Sonnet 5 | $0.00022 | $0.00301 |
| Haiku 4.5 | $0.00011 | $0.00151 |
Grade A, and why
ai-news-collector scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
100% identical to ai-news-collector — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI News Collector
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 |
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 158 lines · 112 tokens per session scan A f853f2ca3aff
ai-news-collector is a skill published in the GitHub repository ssmurfgg04-gif/context-m (2 stars, last pushed yesterday), licensed Apache-2.0. It adds 112 tokens to every session and 1,505 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to ai-news-collector, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
setup-open-index
Install and configure Open Index as the read/write context layer for a domain-specialized agent. Use when setting up a legal, marketing, customer support, sales, infrastructure, or other domain agent with Open Index over MCP.
edit-brain
How to add or edit knowledge in this brain — define doctypes, add or update entities, and correlate them with relationships. Use whenever the user asks to add/update knowledge, define a concept, record a learning, or link two things in the brain.
ai-style
A Chinese-language writing guide for producing or revising reader-facing text such as product announcements, public-account articles, emails, and README files. It focuses on reducing patterns that make writing sound machine-generated.
validate
Validate Semantica pipelines, extraction quality, graph schemas, and ontology consistency. Returns structured error/warning checklists. Uses PipelineValidator, PipelineBuilder.validatepipeline(), GraphValidator, and OntologyValidator. Sub-commands: pipeline, step, dependencies, extraction, graph, ontology, performance.
policy
Define and enforce decision policies, compliance rules, and exceptions over Semantica graphs. Uses ContextGraph.checkdecisionrules/enforcedecisionpolicy and context.PolicyEngine.
data_analysis
A data-analysis guide for doing mathematical calculations and descriptive statistics with confirmed, sourced data. Descriptive statistics summarise data using measures such as totals, averages, or ranges.