Claude Code Skills Marketplace is a collection and marketplace of skills, plugins, agents, and instructions that extend Claude Code with specialized development workflows. It is for developers who want to install existing workflows or create, validate, and package their own Claude Code skills.
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 skills add daymade/claude-code-skills --skill ashare-news-fetchergit clone --depth 1 https://github.com/daymade/claude-code-skillsWrote 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/daymade/claude-code-skills/ashare-news-fetcher)<a href="https://agentmods.dev/skills/daymade/claude-code-skills/ashare-news-fetcher"><img src="https://agentmods.dev/badge/skills/daymade/claude-code-skills/ashare-news-fetcher/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/daymade/claude-code-skills/ashare-news-fetcher"><img src="https://agentmods.dev/badge/skills/daymade/claude-code-skills/ashare-news-fetcher.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00162 | $0.01571 |
| Opus 5 | $0.00081 | $0.00785 |
| Sonnet 5 | $0.00032 | $0.00314 |
| Haiku 4.5 | $0.00016 | $0.00157 |
Grade A, and why
ashare-news-fetcher 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 11d 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 — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.
A 股消息面抓取
从多个公开中文财经/政策/社交来源抓取 A 股相关情报，输出结构化条目。
这个 skill 做什么
- 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）
- 抓取监管政策公告（证监会、央行、上交所、财政部）
- 抓取东方财富股吧的个股情绪指标
- 从标题/摘要中提取相关 A 股代码
- 输出 JSON 或 Markdown，方便后续分析、存档或喂给 LLM
能力边界
能做的：
- 输入股票代码（如
000001,600519）抓取该股股吧情绪 - 不输入代码时抓取全市场财经/政策快讯
- 按关键词过滤结果
- 输出 JSON（结构化）或 Markdown（可读）
不能做的：
- 不抓取付费/登录墙后的内容
- 不保证实时性（来源本身是公开聚合，可能有分钟级延迟）
- 不抓取交易所 L1/L2 行情（这是新闻/情绪抓取，不是行情接口）
- 不替代合规投顾研究，输出仅作信息聚合参考
前置条件
- Python 3.10+
requests（必须）beautifulsoup4（可选，只有抓取政策来源时才需要）akshare（可选，用于名称→代码匹配；没有时只用正则提取代码）jieba（可选，安装后名称匹配使用分词，降低误匹配）- 环境变量
JIN10_APP_ID（金十数据接口需要；未设置时会跳过该来源，不影响其他cn来源）
最简安装：
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
使用方式
方式 1：对话里直接调用
/ashare-news-fetcher 000001,600519 cn,guba
参数说明（都是可选的）：
- 第一个参数：股票代码，逗号分隔，例如
000001,600519 - 第二个参数：来源组，逗号分隔，可选
cn（中文快讯）、policy（政策）、guba（股吧） - 不传参数时默认
--sources cn --limit 30
方式 2：直接运行脚本
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
常用选项：
--sources：来源组，默认cn--symbols：股票代码，用于guba--keywords：关键词过滤，逗号分隔--limit：每组最多返回条数，默认 30--format：json或markdown，默认json--output：输出到文件；省略则打印到 stdout--verbose：打印调试日志
信源说明
| 来源组 | 来源 | 内容类型 | 是否需要 bs4 |
|---|---|---|---|
cn |
财联社、华尔街见闻、金十、新浪 7x24、东财快讯 | 市场快讯 | 否 |
policy |
证监会、央行、上交所、财政部 | 政策/监管公告 | 是（证监会除外） |
guba |
东方财富股吧 | 个股散户情绪 | 否 |
详细 API 端点和解析方式见 references/source_apis.md。
测试
测试说明与运行方式见 references/testing.md。
输出格式
JSON
每个 item 的结构见 references/output_schema.md。示例：
{
"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": {}
}
What ships with it
7 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.
- 11d ago First seen · 151 lines · 162 tokens per session scan A 60678cf874db
ashare-news-fetcher is a skill published in the GitHub repository daymade/claude-code-skills (1,387 stars, last pushed today), licensed MIT. It adds 162 tokens to every session and 1,571 once invoked, about $0.0008 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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