Ashare News Fetcher

What it does

When your agent uses it

• Tasks that involve Markdown

Example prompts

• “A 股消息面”
• “帮我看看 000001 最近有什么消息”
• “/ashare-news-fetcher”

Requirements

• Python 3

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

1. 1抓取中文财经快讯（财联社、华尔街见闻、金十、新浪 7x24、东财快讯）
2. 2抓取监管政策公告（证监会、央行、上交所、财政部）
3. 3抓取东方财富股吧的个股情绪指标
4. 4从标题/摘要中提取相关 A 股代码
5. 5输出 JSON 或 Markdown，方便后续分析、存档或喂给 LLM

What it can do on your machine

Read from SKILL.md and the folder at commit 0e52df5. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  Ships 1 file in scripts/ (Python), which the agent can run.

  Shell commands in SKILL.md call:

  • pip
  • python

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names no API keys, tokens, secrets or passwords.

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Ashare News Fetcher loads about 760 tokens when it runs, and up to ~3.1k if it reads all its reference files. Until then it costs about 62 tokens; SKILL.md has 146 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~62

When it runs · the whole SKILL.md, loaded when a task matches

~760

With references · SKILL.md plus every file in references/, read only if the agent opens them

~3.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from daymade/claude-code-skills at commit 0e52df5, republished under its MIT licence (© daymade). 146 words, ~760 tokens.

name

ashare-news-fetcher

description

抓取 A 股消息面情报：从财联社、华尔街见闻、金十、新浪 7x24、东财快讯、 证监会/央行/上交所/财政部政策公告、东方财富股吧等公开来源抓取与股票相关的 新闻、政策、情绪，输出结构化 JSON 或 Markdown。 当用户提到“A 股消息面”、“抓新闻”、“个股消息”、“政策监管”、“股吧情绪”、 “财联社”、“东财快讯”、“市场情绪”或需要把某只股票相关的公开情报聚合出来时 触发。也适用于“帮我看看 000001 最近有什么消息”这类口语化请求。

disable-model-invocation

true

argument-hint

[--sources <groups>] [--symbols <codes>] [--limit <n>]

pip install requests
# 如需政策来源：
pip install beautifulsoup4
# 如需名称匹配：
pip install akshare
# 如需更精确的名称匹配：
pip install jieba

/ashare-news-fetcher 000001,600519 cn,guba

python scripts/fetch_intel.py --sources cn,policy --limit 20
python scripts/fetch_intel.py --symbols 000001,600519 --sources guba
python scripts/fetch_intel.py --sources cn --keywords 降准,降息 --format markdown

{
  "item_id": "4ffde7bc7b18b55e",
  "source_id": "cn_sina",
  "source_name": "sina",
  "title": "...",
  "summary": "...",
  "url": "...",
  "category": "market",
  "priority": "normal",
  "tags": ["公司", "市场"],
  "related_symbols": ["000001"],
  "published_at": "2026-06-25 17:50:41",
  "fetched_at": "2026-06-25 09:50:52",
  "extra": {}
}

© daymade, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 7 other files (scripts, references) in daymade-financial/ashare-news-fetcher of daymade/claude-code-skills.

• SKILL.md
• .gitignore
• references/output_schema.md
• references/source_apis.md
• references/testing.md
• scripts/fetch_intel.py
• tests/test_fetch_intel.py
• tests/test_fetch_intel_network.py

Open the folder on GitHubat commit 0e52df5