据 AlphaMoat 统计,截至 2026-10,Tinyfish 累计下载 5,865 次、获 8 个星标,按累计下载量在本次参与排名的 10,914 个 AI 技能中排名第 4,933 位,在「数据分析」分类(915 个)中排名第 454 位。
列表默认按累计下载量排序,也可按星标排序;详情页排名按累计下载量计算。
| 平台 | 累计下载 | 星标 | 评论 |
|---|---|---|---|
| ClawHub ↗ | 5,865 | 8 | - |
| SkillHub ↗ | 5,324 | 6 | — |
各平台的计数口径不同,统计时间不一致。
先用 search 发现链接、fetch 读取内容;动态页面返回空缺内容时再用 agent 交互提取,复杂控制可建立远程 browser CDP 会话。Agent 需明确目标数据结构,并以完成事件和状态确认结果,不把任务提交当成已完成。
资料发布于 2026-10-26
以下是根据技能文档生成的示例,不代表实际运行结果。
依据技能文档中的声明整理,未经实际安装或运行验证。
@tiny-fish/cli,通过 tinyfish auth login --source openclaw 登录或设置 TINYFISH_API_KEY。2026-09 起统计方法调整:同名技能按作者分别统计,并覆盖全部技能。图中虚线为调整前的月份,与之后的数据不直接比较,也不计算跨越调整的增长。
| 月份 | 累计下载 | 环比 | 星标 |
|---|---|---|---|
| 2026-10 | 5,865 | — | 8 |
| 2026-09 | 5,324 | — | 7 |
| 2026-08 | 4,787 | +7.3% | 6 |
| 2026-07 | 4,461 | +10.2% | 5 |
| 2026-06 | 4,049 | +7.9% | 5 |
| 2026-05 | 3,752 | — | 5 |
以下是作者发布的原始文件,按纯文本显示,本站未做修改或审核;其中的链接不可点击,命令请核实后再运行。抓取于 2026-10-23。
--- name: use-tinyfish description: Use TinyFish for web search, fetching URLs, reading pages, current information, source-backed answers, research, docs, pricing/product pages, extraction, scraping, and browser automation. Use whenever the user asks to search, find, look up, research, compare, get information from the web, summarize a URL, fetch page content, or automate a website. --- # TinyFish CLI You have access to the TinyFish CLI (`tinyfish`) — a suite of web tools you can call from the terminal. If not installed: `npm install -g @tiny-fish/cli`
If not authenticated: `tinyfish auth login --source openclaw` or set `TINYFISH_API_KEY` env var.
---
## When This Skill Should Trigger
Use TinyFish whenever a request depends on live web information or page content. Do not wait for the user to say "TinyFish" or "scrape".
Strong triggers include:
- Search or discovery: search, find, look up, research, compare, latest, current, news, docs, pricing, product details, best options.
- URL/page reading: fetch, read, summarize, extract from this page, inspect this URL, get the content, pull links or metadata.
- Source-backed answers: answer using web sources, verify a fact, check whether something changed, gather information from the web.
- Website work: interact with a site, click through pages, fill forms, log in, collect structured data, handle bot-protected pages.
Default to the lightest tool that can answer:
- No URL and the user needs web information: `search`, then `fetch` the best result(s) if more detail is needed.
- URL provided and only content is needed: `fetch`.
- Page interaction or dynamic extraction is needed: `agent`.
- Raw CDP/Playwright-style control is needed: `browser`.
---
## Picking the Right Tool
TinyFish has four tools. Start with the lightest one that can do the job and escalate only when needed.
```
search → fetch → agent → browser
lightest heaviest
```
| Tool | When to use | Speed | Cost |
|------|-------------|-------|------|
| **search** | You need to find URLs, current facts, docs, pricing, product details, or a quick source-backed answer | Fastest | Lowest |
| **fetch** | You have URLs and need clean page content, summaries, article text, docs, product pages, links, or metadata | Fast | Low |
| **agent** | You need to interact with a page — click, fill forms, navigate, extract structured data from dynamic sites | Slower | Higher |
| **browser** | Agent isn't enough — you need raw programmatic browser control via CDP | Slowest | Highest |
### Common Patterns
**Research: search → fetch**
Search for a topic, then fetch the best results to read their full content.
```bash
# 1. Find URLs
tinyfish search query "best React state management libraries 2026"
# 2. Read the top results
tinyfish fetch content get --format markdown "https://result1.com" "https://result2.com"
```
**Deep extraction: search → agent**
Search to find the right site, then use agent to interact with it and extract structured data.
```bash
# 1. Find the site
tinyfish search query "Nike running shoes official store"
# 2. Automate extraction on it
tinyfish agent run --url "https://nike.com/running" \
"Extract all running shoes as JSON: [{\"name\": str, \"price\": str, \"colors\": [str]}]"
```
**Escalation: fetch → agent**
Try fetch first. If the page is dynamic/JS-heavy and fetch returns empty or incomplete content, escalate to agent.
**Full control: agent → browser**
If agent can't handle a complex multi-step workflow, spin up a raw browser session and automate it yourself via CDP.
---
## Commands
### `tinyfish search query`
Web search. Returns ranked results with titles, URLs, and snippets.
```bash
tinyfish search query "<query>" [--location <hint>] [--language <hint>] [--pretty]
```
- Returns 10 results by default
- Use `--location` and `--language` for geo-targeted results
- Default output is JSON; `--pretty` for human-readable
```bash
tinyfish search query "best pho in Ho Chi Minh City" --location "Vietnam" --language "en"
```
---
### `tinyfish fetch content get`
Fetch clean, extracted content from one or more URLs. Strips ads, nav, boilerplate — returns just the content.
```bash
tinyfish fetch content get <urls...> [--format markdown|html|json] [--links] [--image-links] [--pretty]
```
- Accepts **multiple URLs** in a single call — they are fetched in parallel server-side
- `--format markdown` (default) — clean readable text
- `--format json` — structured document tree
- `--links` — include all extracted links from the page
- `--image-links` — include extracted image URLs
- Response includes: `url`, `final_url`, `title`, `language`, `author`, `published_date`, `text`, `latency_ms`
```bash
# Fetch one page as markdown
tinyfish fetch content get --format markdown "https://example.com/article"
# Fetch multiple pages with links
tinyfish fetch content get --links "https://site-a.com" "https://site-b.com" "https://site-c.com"
```
---
### `tinyfish agent run`
Run a browser automation using a natural language goal. The agent opens a real browser, navigates, clicks, fills forms, and extracts data.
```bash
tinyfish agent run --url <url> "<goal>" [--sync] [--async] [--pretty]
```
| Flag | Purpose |
|------|---------|
| `--url <url>` | Target URL (bare hostnames get `https://` auto-prepended) |
| `--sync` | Wait for full result without streaming steps |
| `--async` | Submit and return immediately |
| `--pretty` | Human-readable output |
**Output:** Default streams `data: {...}` SSE lines. The final result is the event where `type == "COMPLETE"` and `status == "COMPLETED"` — the extracted data is in the `resultJson` field. Read the raw output directly; no script-side parsing is needed.
**Always specify the JSON structure you want in the goal:**
```bash
tinyfish agent run --url "https://example.com/products" \
"Extract all products as JSON array: [{\"name\": str, \"price\": str, \"url\": str}]"
tinyfish agent run --url "https://example.com/search" \
"Search for 'wireless headphones', filter under $50, extract top 5 as JSON: [{\"name\": str, \"price\": str, \"rating\": str}]"
```
**Parallel extraction — when hitting multiple independent sites, make separate calls. Do NOT combine into one goal.**
Good — parallel calls (run simultaneously):
```bash
tinyfish agent run --url "https://pizzahut.com" \
"Extract pizza prices as JSON: [{\"name\": str, \"price\": str}]"
tinyfish agent run --url "https://dominos.com" \
"Extract pizza prices as JSON: [{\"name\": str, \"price\": str}]"
```
Bad — single combined call:
```bash
# Don't do this — less reliable and slower
tinyfish agent run --url "https://pizzahut.com" \
"Extract prices from Pizza Hut and also go to Dominos..."
```
**Managing runs:**
```bash
tinyfish agent run list [--status PENDING|RUNNING|COMPLETED|FAILED|CANCELLED] [--limit N]
tinyfish agent run get <run_id>
tinyfish agent run cancel <run_id>
```
**Batch operations** — submit many runs from a CSV file (`url,goal` columns):
```bash
tinyfish agent batch run --input runs.csv
tinyfish agent batch list
tinyfish agent batch get <batch_id>
tinyfish agent batch cancel <batch_id>
```
---
### `tinyfish browser session create`
Spin up a remote browser instance. Returns a CDP WebSocket URL for programmatic control.
```bash
tinyfish browser session create [--url <url>] [--pretty]
```
- `--url` optionally navigates to a page after creation
- Returns `session_id`, `cdp_url` (WebSocket), and `base_url`
- Use the `cdp_url` with Playwright, Puppeteer, or any CDP client
```bash
tinyfish browser session create --url "https://example.com"
# Returns: { session_id, cdp_url: "wss://...", base_url: "https://..." }
```
---
## General Notes
- **Match the user's language**: Respond in whatever language the user writes in.
- All commands support `--pretty` for human-readable output. Default is JSON.
- Use `--debug` on the root command or set `TINYFISH_DEBUG=1` to log HTTP requests to stderr.
中国金融机构数据爬取与分析综合 Skill v12.0.0。2334家/43大类机构名单、60+财经媒体源舆情、 A股报告/公告/研报、60+种查询多源金融数据(自动降级+缓存)、爬取调度与网页操作增强、 实时数据中枢、24 技术指标引擎、多源证据融合、110 MCP 工具 + 10 Resource + 14 Prompt。 🆕 v12.0.0 四条线(信息获取 / 打包下载 / 数据分析 / 登录): 编排:gather_info() 一次跑完"路由→抓取→去占位→质量分→能力边界→回执→打包", 8 类意图各带问法、输入输出、典型耗时与 not_for(说清哪件事做不了)。 诚实:反爬占位条目一律剔除并记账,空结果报 E_SOURCE_EMPTY,不把假数据判成 B 级成功。 交付:包内自带 manifest.json(逐文件 sha256),verify 查得出改动/缺失/多塞, 批量下载单条失败不中断整批,失败清单可直接只重下那几条。 登录:Cookie 由用户导出或扫码接管,档案化 + 健康度四档,对外输出全脱敏(值永不回显)。 何时触发:爬取机构、舆情爬取、东方财富、公告下载、实时行情、技术指标、统一查询、 交付包、批量重下、我已经登录了、登录态还有效吗(完整触发词见下方 auto_trigger)。
大宗商品价格数据查询技能。用于查询大宗商品期现货价格、宏观经济指标、产业链供需数据、进出口库存数据、金融市场数据等。当用户询问:(1) 期货/现货价格查询,如"螺纹钢价格"、"铜期货收盘价"; (2) 历史行情或趋势分析;(3) 区域或企业价格对比;(4) 宏观经济指标,如GDP、CPI;(5) 产业链上下游数据;(6) 多市场金融数据(期权、股票、债券、外汇);(7) 结算确认单生成时触发此技能。
32种图表,3 个主题,2步生成: 1.上传数据 — 将 CSV / Excel / JSON 等格式的数据文件拖入对话框; 2.查看结果 — 交互式图表(HTML),可保存图表为图片.
AdMapix 的取数层:把广告与应用相关的查询转成接口调用,只回原始 JSON。
论文配图一键生成:一条命令从 JSON/CSV/Excel 生成顶刊级学术图表,科研绘图 与期刊配图全场景覆盖。40 种图表(森林图/KM 生存曲线(自动风险表)/竞争风险累计发生率/ROC/校准 曲线/决策曲线 DCA/列线图/RCS 非线性剂量反应/亚组分析森林图/RMST 限制平均生存时间/Galbraith 径向图/火山图/雨云图/山脊图/哑铃图/游泳图(逐例时长+里程碑)/ 肿瘤缓解瀑布图/UpSet 交集/PRISMA 流程图/漏斗/BA 一致性/PCA/热图/箱线/小提琴/ 组合图/Cox 多因素回归森林图等),9 套配色(含色盲安全 Okabe-Ito 与期刊色板),9 种期刊投稿预设, YAML 流水线一条命令出全套论文图,一次渲染多格式导出(TIFF/PNG/PDF), PDF 重叠门禁,600dpi。纯本地运行,数据不出机,中文零配置。适用:写论文/ 投稿要配图、把数据变成可投稿图表、批量重出全套图。不适用:文本润色/翻译/ 改写(请用写作类工具);商业报表/仪表盘/海报装饰;无数据支撑的纯示意图。
Intelligent chart generation and data analysis skill. Reads user-supplied data files (CSV/Excel/JSON), analyzes data characteristics with LLM assistance, auto-recommends and generates interactive ECharts visualizations. Use when the user asks to analyze data, generate charts, create visualizations, or work with tabular data files.
全球智能投研工具(stock-researcher)v13.0:多源数据 + 概率预测 + 可导出报告。 核心能力: - 多源数据路由:按市场/类别选源,逐级降级;每个结果标注来源与时效等级;源不可用时明确标 unavailable - 全资产量化:股票/ETF/场外基金/指数/期货(期限结构、基差、持仓、折溢价)多因子分析 - 概率预测:1d/5d/1M/3M/6M 经验分布 + 分位数 + 方向概率 + 区间,kNN 邻域收缩融合全局分布; 样本不足自动弃权,可按历史命中样本(同桶)做概率校准 - 证据链简报:每条结论绑定来源、时间与数据质量,冲突信号保留而不抹平 - 报告导出:Word/PPT/PDF/Markdown/JSON/纯文本,纯标准库渲染 + 可选第三方引擎 - MCP Server 24 工具,Claude Code 可直接调用;知识库 12 适配器双向同步 三条铁律: - 数据不装:拿不到就报不可用,不拿 0 价、不拿空表冒充 - 预测不装:概率来自历史相似条件的经验分布,样本不足就说不足,不硬给方向 - 评分≠盈利保证:任何结论都带免责声明
走 Tavily 检索公开网页,返回带链接与摘要的结构化结果。
数据月份:2026-10 · 下载/星标数聚合自公开技能注册库(ClawHub、SkillHub),按月更新。口径说明见数据方法。