ashare-news-fetcher
An agent skill by daymade, from daymade/claude-code-skills. Tags: analytics, data, news, research, trading.
What it does
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。
Install
With the skills CLI, which installs into Claude Code, Codex, Cursor and other agents:
npx skills add daymade/claude-code-skills --skill ashare-news-fetcher
Or copy the skill folder into Claude Code's skills directory by hand (~/.claude/skills for every project, or .claude/skills inside one):
git clone --depth 1 https://github.com/daymade/claude-code-skills
cp -r claude-code-skills/daymade-financial/ashare-news-fetcher ~/.claude/skills/ashare-news-fetcher
Safety box score
Not rated yet. A safety box score grades what a skill and its scripts can reach on the machine of whoever installs it, across eight categories from shell execution to secrets access. Anyone can request one from this page; it is saved for everyone. How the score works.
Source
- Repository
- daymade/claude-code-skills (all skills from this repository)
- Path
- daymade-financial/ashare-news-fetcher/SKILL.md
- Branch
- main
- Updated
- 2026-09-20
Related skills
- bigdata-skill — Pull Bigdata.com (RavenPack) financial and news data via the official `bigdata-client` SDK and `/v1/*` REST endpoints — structured financials, prices.
- bilibili-source — Fetch comprehensive, login-free data for any Bilibili (B站) video — title, UP name and follower count, publish date, partition, tags, per-part cids.
- daymade-sector-research — A股行业投研工作流:全板块 Top N 涨幅标的计算、公告窗口检索(周/月)、市场情绪证据分级判断,并以 Agent Team 并行执行 + fresh-context 对抗验证。 触发场景(命中任一即读本 skill): - 「XX 行业 Top N / Top 10 标的」(如「医药行业今天的 Top 10.
- pharma-daily-report — 生成 A 股医药行业日报:从新浪财经抓取 20 只核心医药股实时行情,分析 7 大细分赛道排名、涨跌榜 TOP 3、资金流向,然后通过飞书发送富文本日报。 覆盖恒瑞医药、百济神州、智飞生物、药明康德、迈瑞医疗、片仔癀、云南白药等 20 只核心标的。 当用户需要 医药日报、医药行业日报、pharma daily.
- pandas-pro — Performs pandas DataFrame operations for data analysis, manipulation, and transformation.
- analytics — When the user wants to set up, improve, or audit analytics tracking and measurement.