Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/fatfingererr/macro-skillsnpx agentmods add skills/fatfingererr/macro-skills/list-china-today-macro-newsWrote 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/fatfingererr/macro-skills/list-china-today-macro-news)<a href="https://agentmods.dev/skills/fatfingererr/macro-skills/list-china-today-macro-news"><img src="https://agentmods.dev/badge/skills/fatfingererr/macro-skills/list-china-today-macro-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.
<a href="https://agentmods.dev/skills/fatfingererr/macro-skills/list-china-today-macro-news"><img src="https://agentmods.dev/badge/skills/fatfingererr/macro-skills/list-china-today-macro-news.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
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 | $0.00075 | $0.02127 |
| Opus 5 | $0.00037 | $0.01064 |
| Sonnet 5 | $0.00015 | $0.00425 |
| Haiku 4.5 | $0.00007 | $0.00213 |
Grade A, and why
list-china-today-macro-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 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.
How it starts
The opening of the file, as written. The whole thing — 162 lines — stays where its author put it; the contents beside it link to each section on GitHub.
今日中國宏觀新聞 Skill
🔗 Based on news-aggregator-skill | 專注於中國宏觀經濟新聞的垂直擴展
從多個中文財經新聞源抓取並篩選中國宏觀經濟相關新聞，提供 AI 深度解讀。
Tools
fetch_china_macro_news.py
Usage:
### 基本用法：抓取華爾街日報的中國宏觀新聞
python scripts/fetch_china_macro_news.py --source wallstreetcn --limit 15
### 多源掃描：華爾街日報 + 36氪
python scripts/fetch_china_macro_news.py --source wallstreetcn,36kr --limit 10
### 深度抓取（下載文章內容）
python scripts/fetch_china_macro_news.py --source wallstreetcn --limit 10 --deep
智慧關鍵字擴展 (Smart Keyword Expansion)
CRITICAL: 當用戶給出簡單關鍵字時，自動擴展覆蓋相關領域：
- 用戶: "利率" -> Agent 使用:
--keyword "利率,LPR,MLF,降息,加息,PBOC,央行" - 用戶: "通膨" -> Agent 使用:
--keyword "通膨,CPI,PPI,物價,通縮" - 用戶: "貿易" -> Agent 使用:
--keyword "貿易,進出口,順差,關稅,海關"
# Example: User asked for "央行新聞" (Note the expanded keywords)
python scripts/fetch_china_macro_news.py --source wallstreetcn --limit 20 --keyword "央行,PBOC,利率,LPR,MLF,降息,降準" --deep
Arguments:
--source: One ofwallstreetcn,36kr,all(default: wallstreetcn).--limit: Max items per source (default 15).--keyword: Comma-separated filters (default: 宏觀相關關鍵字).--deep: [NEW] Enable deep fetching. Downloads and extracts the main text content of the articles.
Output:
JSON array. If --deep is used, items will contain a content field associated with the article text.
預設宏觀關鍵字
腳本預設使用以下關鍵字篩選中國宏觀新聞：
央行,PBOC,利率,LPR,MLF,降息,降準,
GDP,PMI,CPI,PPI,通膨,通縮,
經濟,宏觀,財政,貨幣政策,
貿易,進出口,順差,逆差,
就業,失業,消費,零售,
房地產,樓市,投資,基建,
人民幣,匯率,外匯,
債券,國債,信貸,社融,M2
Interactive Menu
When the user says "今日中國宏觀新聞" (or similar "menu/help" triggers):
- READ the content of
templates.mdin the skill directory. - DISPLAY the list of available commands to the user exactly as they appear in the file.
- GUIDE the user to select a number or copy the command to execute.
Smart Time Filtering & Reporting (CRITICAL)
If the user requests a specific time window (e.g., "過去 X 小時") and the results are sparse (< 5 items):
- Prioritize User Window: First, list all items that strictly fall within the user's requested time (Time < X).
- Smart Fill: If the list is short, you MUST include high-value/high-heat items from a wider range (e.g. past 24h) to ensure the report provides at least 5 meaningful insights.
- Annotation: Clearly mark these older items (e.g., "⚠️ 18h 前", "🔥 24h 熱點") so the user knows they are supplementary.
- High Value: Always prioritize "重大政策", "央行動態", or "關鍵數據" items even if they slightly exceed the time window.
What ships with it
9 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 · 162 lines · 75 tokens per session scan A d974763adc08
list-china-today-macro-news is a skill published in the GitHub repository fatfingererr/macro-skills (3 stars, last pushed 7mo ago), licensed MIT. It adds 75 tokens to every session and 2,127 once invoked, about $0.0004 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 2026-08-31.
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