MateClaw is a pluggable agent runtime that coordinates AI agents, tools, conversations, memory, and workflows. It is designed for personal and multi-user AI assistants, including agents used through chat platforms. Catalogue add-ons provide skills for extending its agent workflows.
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 agentmods add skills/mateaix/mateclaw/newsnpx skills add mateaix/mateclaw --skill newsgit clone --depth 1 https://github.com/mateaix/mateclawWrote 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/mateaix/mateclaw/news)<a href="https://agentmods.dev/skills/mateaix/mateclaw/news"><img src="https://agentmods.dev/badge/skills/mateaix/mateclaw/news.svg" alt="Measured on agentmods" 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 | $0.00035 | $0.00883 |
| Opus 5 | $0.00017 | $0.00441 |
| Sonnet 5 | $0.00007 | $0.00177 |
| Haiku 4.5 | $0.00003 | $0.00088 |
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 5d 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.
What it actually says
新闻查询
当用户询问"最新新闻"、"今天发生了什么"或某类别新闻时使用本技能。
工作流程
方式一：搜索工具（推荐，速度快）
search(
query="今日财经新闻",
freshness="day",
language="zh-CN",
count=8
)
参数说明：
freshness：day（24h）/week/month/yearlanguage：zh-CN（中文）/en（英文）count：返回结果数，1-10，默认 5
方式二：浏览器直接访问权威来源
当搜索结果质量不佳或用户需要更权威来源时：
browser_use(action="start")
browser_use(action="open", url="https://www.chinanews.com/society/")
browser_use(action="snapshot")
| 类别 | 来源 | URL |
|---|---|---|
| 政治 | 人民网 · 党报 | 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/ |
浏览器用完后关闭：
browser_use(action="stop")
输出格式
以要点列表呈现，每条包含：
- 标题（加粗）
- 一两句摘要
- 来源 + 发布时间
示例：
**经济数据：3 月 CPI 同比上涨 0.1%**
国家统计局今日发布数据，环比下降 0.4%，低于市场预期。
来源：中国经济网 · 2026-04-23
方式三：持续监控 RSS/Atom（blogwatcher）
当用户需要定期追踪某个来源而非单次查询时，使用 blogwatcher-cli。
安装：pip install blogwatcher-cli（SQLite 后端，无需服务器）
# 添加 RSS 源
blogwatcher add --name "科技日报" --url https://www.stdaily.com/rss.xml
# 添加 Atom 源（也支持）
blogwatcher add --name "MIT Tech Review" --url https://www.technologyreview.com/feed/
# 列出已订阅来源
blogwatcher list
# 拉取所有来源的新文章（增量，只返回未见过的）
blogwatcher fetch --all
# 拉取指定来源
blogwatcher fetch --name "科技日报"
# 查看最近 N 条条目
blogwatcher entries --limit 20
# 搜索历史条目
blogwatcher search "人工智能 大模型"
# 删除来源
blogwatcher remove --name "科技日报"
blogwatcher fetch 是增量的：只返回自上次 fetch 以来的新条目，不重复推送旧内容。
适用场景：
- 用户说"每天帮我看看某网站有什么新文章"
- 需要追踪多个来源、避免重复浏览
- 配合
cron技能设置定时抓取任务
注意事项
- 搜索结果以新鲜度为优先，优先选
freshness="day" - 多个类别时分别搜索，避免混淆
- 网站无法访问时说明原因并提供备用来源链接
- 不编造新闻，所有内容来自实际搜索/浏览结果
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.
- 5d ago First seen · 117 lines · 35 tokens per session scan A 4f911dfc7f24
news is a skill published in the GitHub repository mateaix/mateclaw (1,061 stars, last pushed 4d ago), licensed Apache-2.0. It adds 35 tokens to every session and 883 once invoked, about $0.0002 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.
Other skills, from other repositories
make-skill
Use this skill when sedimenting a session into a reusable workspace skill. Triggers when the user wants to turn the current conversation, workflow, or troubleshooting path into a SKILL.md. Phrases like 'turn this into a skill', 'remember how I did X', 'save this workflow', 'make a skill from this', and any /make-skill…
make-skill
用于把当前会话沉淀为可复用的 workspace skill。当用户希望把当前对话、工作流或排错路径写成 SKILL.md 时触发。触发表达包括「把这个变成 skill」「记住我是怎么做 X 的」「保存这个工作流」「make a skill from this」以及任何 /make-skill 调用。.
terraform-skill
Use when working with Terraform or OpenTofu - creating modules, writing tests (native test framework, Terratest), setting up CI/CD pipelines, reviewing configurations, choosing between testing approaches, debugging state issues, implementing security scanning (trivy, checkov), or making infrastructure-as-code…
docx
Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files). Triggers include: any mention of "Word doc", "word document", ".docx", or requests to produce professional documents with formatting like tables of contents, headings, page numbers, or letterheads. Also use when…
docx
当用户需要创建、读取、编辑或处理 Word 文档（.docx）时，使用此技能。触发场景包括提到“Word 文档”、“.docx”，或要求生成带目录、标题、页码、信头等格式的专业文档；也包括提取或重组 .docx 内容、插入或替换图片、在 Word 文件中查找替换、处理修订或批注，以及将内容整理为正式 Word 文档。如果用户要求生成“报告”“备忘录”“信函”“模板”等 Word / .docx 交付物，也应使用此技能。不要用于 PDF、电子表格、Google Docs，或与文档生成无关的一般编程任务。.
multi_agent_collaboration
Use this skill when another agent's expertise or context is needed, or when the user explicitly asks to involve another agent. First list agents, then use qwenpaw agents chat for two-way communication with replies.