news

news is a skill for Claude Code, Codex from TencentCloud/Octop. It costs 52 tokens per session (683 once invoked), scanned A, original, MIT.

A news-finding guide that uses specified Chinese news websites for politics, business, society, international affairs, technology, sports, and entertainment.

In plain words
What is it for?
It helps answer requests for the latest news by opening the relevant sites, reading their pages, and summarizing titles, dates, key points, and sources.
Why use it?
It gives the agent clear sources and a repeatable way to collect current headlines and summaries instead of searching without a defined source.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for qwenpaw. Also seen: built for qwenpaw.

Good fit It helps answer requests for the latest news by opening the relevant sites, reading their pages, and summarizing titles, dates, key points, and sources.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/tencentcloud/octop/news
About the project

Octop is a self-hosted, multi-user AI assistant that runs multiple specialized agents and connects them to chat interfaces, tools, and external services. It is for individuals, families, and teams who want a locally operated assistant with shared experts and persistent capabilities. Catalogue add-ons extend its agent and assistant workflows.

TencentCloud/Octop · 1,507 stars · on GitHub · octop.cloud

Install

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.

Any agent
npx skills add TencentCloud/Octop --skill news
Clone the repo
git clone --depth 1 https://github.com/TencentCloud/Octop

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for news

README.md
[![agentmods](https://agentmods.dev/badge/skills/tencentcloud/octop/news/github.svg)](https://agentmods.dev/skills/tencentcloud/octop/news)
Your own site
<a href="https://agentmods.dev/skills/tencentcloud/octop/news"><img src="https://agentmods.dev/badge/skills/tencentcloud/octop/news/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.

agentmods 80×15 button for news

Your own site · 80×15
<a href="https://agentmods.dev/skills/tencentcloud/octop/news"><img src="https://agentmods.dev/badge/skills/tencentcloud/octop/news.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 52 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 683 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00052 $0.00683
Opus 5 $0.00026 $0.00342
Sonnet 5 $0.00010 $0.00137
Haiku 4.5 $0.00005 $0.00068

Measured 3d ago against content hash 9f6b2faad3c1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

news 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 3d 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.

src/octop/infra/agents/experts/library/office-automation/skills/news/SKILL.md · 56 lines

What it actually says

新闻参考

当用户询问"最新新闻"、"今天有什么新闻"或"某某类别的新闻"时,使用 browser_use 工具配合以下类别和 URL:打开页面,截取快照,然后从页面内容中提取标题和要点并回复用户。

类别和来源

类别 来源 URL
政治 人民网 · 中国共产党新闻网 https://cpc.people.com.cn/
财经 中国经济网 http://www.ce.cn/
社会 中新网 · 社会 https://www.chinanews.com/society/
国际 CGTN https://www.cgtn.com/
科技 科技日报 https://www.stdaily.com/
体育 央视体育 https://sports.cctv.com/
娱乐 新浪娱乐 https://ent.sina.com.cn/

使用方法(browser_use)

  1. 明确用户需求:确定用户需要哪个或哪些类别(政治 / 财经 / 社会 / 国际 / 科技 / 体育 / 娱乐),或选择 1-2 个进行获取。
  2. 选择 URL:使用表格中对应类别的 URL;如需多个类别,对每个 URL 重复以下步骤。
  3. 打开页面:调用 browser_use
    {"action": "open", "url": "https://www.chinanews.com/society/"}
    
    url 替换为表格中对应的 URL。
  4. 截取快照:在同一会话中,再次调用 browser_use
    {"action": "snapshot"}
    
    从返回的页面内容中提取标题、日期和摘要。
  5. 总结回复:按时间或重要性组织一个简短列表(标题 + 一两句话 + 来源);如果网站无法访问或超时,请说明并建议其他来源。

注意事项

  • 网站更新时页面结构可能会变化;如果提取失败,请说明并建议用户直接打开链接。
  • 访问多个类别时,对每个 URL 分别执行 opensnapshot,避免混淆不同页面的内容。
  • 可以在回复中包含原始链接,方便用户打开查看。
Changes

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.

  1. 3d ago Changed · +8 lines 9f6b2faad3c1
  2. 9d ago First seen · 48 lines · 52 tokens per session scan A c1330e8adea0

Subscribe to this mod's changes

news is a skill published in the GitHub repository TencentCloud/Octop (1,507 stars, last pushed yesterday), licensed MIT. It adds 52 tokens to every session and 683 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

artifact-deploy

One-click deploy a user's pre-built app/artifact into their OWN AWS account and get a global public HTTPS link (Vercel-like), with a default TTL and promote-to-persistent. Use when the user says "deploy this", "ship this demo", "give me a public link", "share this externally", or "deploy to AWS".

kirodotdev/KiroCrew · 74 tokens

explain-for

Explain a topic, a piece of code, an error, or a design decision calibrated to one named audience — a 5-year-old, a 5th grader, a manager, a designer, a graduate student, a parent. Resolves who the explanation is for (from the request, or from what memory already records about that person), establishes the ground…

kirodotdev/KiroCrew · 102 tokens

learn-from-sage

Detection-gap (miss) analysis for Code Review Sage. Learn from shipped fixes, acted-on human comments, and design outcomes to close reviewer blind spots. Inline during review stages a candidate; a human triggers a one-shot AI consolidation into the live ruleset.

kirodotdev/KiroCrew · 56 tokens

mochi-remind

Handle due reminders — notify the user with natural language and mark them done.

kirodotdev/KiroCrew · 20 tokens

agent-initialization

Initialize an Agent's settings from a user requirement by writing AGENTS.md, setting identity metadata, and installing only needed Skills.

Prism-Shadow/penguin-harness · 30 tokens

agent-browser

Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a…

Intelligent-Internet/ii-agent · 108 tokens