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/kdaip/echobot/newsnpx skills add KdaiP/EchoBot --skill newsgit clone --depth 1 https://github.com/KdaiP/EchoBotWrote 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/kdaip/echobot/news)<a href="https://agentmods.dev/skills/kdaip/echobot/news"><img src="https://agentmods.dev/badge/skills/kdaip/echobot/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 | $0.00122 | $0.00936 |
| Opus 5 | $0.00061 | $0.00468 |
| Sonnet 5 | $0.00024 | $0.00187 |
| Haiku 4.5 | $0.00012 | $0.00094 |
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.
How it starts
The opening of the file, as written. The whole thing — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
News
Fetch and present the latest headlines using the fetch_web_page tool.
Categories and Sources
| Category | Primary |
|---|---|
| 综合 / General | 新华网 https://www.xinhuanet.com/ |
| 政治 / Politics | 人民网·中共新闻网 https://cpc.people.com.cn/ |
| 财经 / Finance | 中国经济网 http://www.ce.cn/ |
| 社会 / Society | 中国新闻网·社会 https://www.chinanews.com/society/ |
| 国际 / World | CGTN https://www.cgtn.com/ |
| 科技 / Tech | 科技日报 https://www.stdaily.com/ |
| 体育 / Sports | CCTV体育 https://sports.cctv.com/ |
| 娱乐 / Entertainment | 新浪娱乐 https://ent.sina.com.cn/ |
Workflow
1. Identify what the user wants
- Single category: fetch that category's URL.
- Multiple categories: fetch all relevant URLs in parallel (call
fetch_web_pagemultiple times in the same response). - No category specified: default to General (新华网) or ask if ambiguous.
2. Fetch the page
Call fetch_web_page with a generous max_chars to capture enough headlines:
{
"url": "https://36kr.com/",
"max_chars": 10000
}
Use max_chars between 8000–12000 for news homepages — smaller values cut off too many headlines.
3. Extract headlines
From the returned text, look for repeating patterns: headline titles, brief descriptions, timestamps. Most Chinese news sites return plain-text content with clear headline structures after HTML is stripped.
Focus on:
- The headline (title of the story)
- A one or two sentence summary (from the teaser or first paragraph)
- The date/time if visible in the text
- The source name
4. Present results
Format your reply like this (adapt to Chinese or English based on the user's language):
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 · 103 lines · 122 tokens per session scan A dc6cc51843d2
news is a skill published in the GitHub repository KdaiP/EchoBot (629 stars, last pushed 19d ago), licensed MIT. It adds 122 tokens to every session and 936 once invoked, about $0.0006 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.
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