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DataHub for Any Data

作者 Xplore3 · GitHub ↗ · v0.2.0 · MIT-0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install datahub
功能描述
Call any data interface through natural language with DataHub API. Covers e-commerce, local services, recruitment, social media, short video, finance, news,...
使用说明 (SKILL.md)

\r \r

DataHub Skill\r

\r Call any data interface through natural language. Submit queries, add API supplies, or create data bounties — all through the same simple interface with automatic polling for results.\r \r

Supported Data Domains\r

\r DataHub provides access to data across the following domains:\r \r | Domain | Examples of Available Data |\r |--------|---------------------------|\r | E-commerce | Product listings, pricing, reviews, sales trends, category rankings |\r | Local Services | Business listings, service providers, ratings, operating hours, location data |\r | Recruitment | Job listings, candidate profiles, salary data, hiring trends, company information |\r | Social Media | User profiles, posts, engagement metrics, trending topics, influencer data |\r | Short Video | Video metadata, trending content, creator analytics, engagement statistics |\r | Finance | Stock data, company financials, market indicators, economic reports, crypto prices |\r | News | Headlines, articles, sentiment analysis, topic clustering, source aggregation |\r | Web3 | On-chain data, token metrics, NFT collections, DeFi protocols, wallet activity |\r | Gaming | Game statistics, player data, esports results, in-game economies, release schedules |\r | Sports | Match results, player statistics, league standings, betting odds, schedules |\r | Marketing | Campaign analytics, ad performance, market research, competitor intelligence |\r | Education | Course listings, institution data, academic research, learning resources, certifications |\r \r

💡 More domains available upon request. If you need data from a domain not listed above, ask or create a data bounty.\r \r

Data Output Formats\r

\r

Format 1: Structured & Curated Data\r

Pre-processed, cleaned, and organized data ready for analysis:\r

{\r
  "summary": "Key insights extracted from raw data",\r
  "structured_data": {\r
    "field1": "value1",\r
    "field2": "value2"\r
  },\r
  "trends": [...],\r
  "recommendations": [...]\r
}\r
\r
```\r
\r
Format 2: Raw API JSON\r
Original, unmodified JSON response from the underlying API:\r
```json\r
{\r
  "source": "original-api-name",\r
  "timestamp": "2024-01-15T10:30:00Z",\r
  "raw_response": { ... }\r
}\r
```\r
\r
Format 3: Markdown Report\r
Human-readable report format for consumption and sharing:\r
\r
# Data Report: Topic X\r
\r
## Summary\r
Key findings and insights...\r
\r
## Detailed Data\r
Structured presentation of results...\r
\r
## Sources\r
List of data sources used...\r
\r
## Data Processing Capabilities\r
All queries benefit from the following built-in capabilities:\r
\r
## Capability	Description\r
Filtering	Filter data by date range, category, location, value thresholds, and custom criteria\r
Validation	Automatic data quality checks, duplicate removal, format verification\r
Deduplication	Remove duplicate entries across multiple data sources\r
Transformation	Convert between formats, normalize values, currency/unit conversion\r
Enrichment	Cross-reference with other datasets to add context\r
Aggregation	Summarize, group, and calculate statistics across datasets\r
Natural Language Filtering Examples\r
Users can specify filters directly in their query:\r
\r
*"Show me e-commerce products with rating above 4.5 and price under $50"*\r
\r
"Get job listings in San Francisco posted in the last 7 days"\r
\r
"Find trending social media posts with over 10k likes from this week"\r
\r
"Show Web3 projects with at least $1M TVL and active in the last 30 days"\r
\r
"Get sports results for Premier League matches from January 2024 onwards"\r
\r
*"Filter for only verified local service providers with 4+ star ratings"*\r
\r
## Core Capabilities\r
| Capability | Description |\r
|------------|-------------|\r
| Natural Language Queries | Convert user's natural language into API calls with automatic parameter extraction |\r
| Async Result Polling | Automatically poll until data is ready |\r
| API Supply Addition | Add new API supplies using natural language + documentation link |\r
| Data Bounties | Initiate data bounties when requested data is unavailable |\r
| Multi-Format Output | Return structured data, raw JSON, or Markdown reports |\r
| Data Processing | Built-in filtering, validation, deduplication, and transformation |\r
\r
## When to Use\r
User needs data from any supported domain (e-commerce, finance, recruitment, etc.)\r
\r
User wants structured/pre-processed data, not just raw API responses\r
\r
User needs data filtering, validation, or cross-source enrichment\r
\r
User wants to add a new API supply to the system\r
\r
User cannot find desired data and wants to offer a bounty\r
\r
## When NOT to Use\r
Local file read/write operations\r
\r
Pure computation tasks (no external data needed)\r
\r
Scenarios requiring sub-second real-time responses\r
\r
General knowledge questions not related to the supported data domains\r
\r
Prerequisites: Getting an API Key\r
Before using this Skill, you need a DataHub API Key. Two ways to get one:\r
\r
Option 1: Apply via Website\r
Visit DataHub official website: https://seekin.chat\r
\r
Register or log in to your account\r
\r
Navigate to "API Management" or "Developer" page\r
\r
Create a new API Key and copy it\r
\r
Option 2: Get it Directly in Chat\r
Visit https://seekin.chat\r
\r
Simply type in the website's chat dialog:\r
\r
text\r
Please give me an API Key\r
or\r
\r
text\r
I want to apply for an API key\r
The system will automatically generate and return an API Key\r
\r
💡 Tip: New users typically receive free credits sufficient for daily use.\r
\r
Configuring the API Key\r
After obtaining your API Key, configure it using one of these methods:\r
\r
Method A: Environment Variable (Recommended)\r
\r
bash\r
export DATAHUB_API_KEY="your-api-key-here"\r
Method B: User Config File\r
Create ~/.datahub/config.json:\r
\r
json\r
{\r
  "apiKey": "your-api-key-here"\r
}\r
Method C: Project Config File\r
Create datahub.config.json in your project root:\r
\r
json\r
{\r
  "apiKey": "your-api-key-here"\r
}\r
Configuration priority: Environment Variable > User Config > Project Config\r
\r
## Workflows\r
### Workflow 1: Standard Data Query\r
Use this when the user wants to fetch data from any supported domain.\r
\r
Step 1: Submit Query\r
Execute scripts/query.js to submit the user's natural language query:\r
\r
bash\r
node scripts/query.js "\x3Cuser's natural language query>" [sessionId]\r
Parameters:\r
\r
First argument: User's natural language query (required)\r
\r
Second argument: Session ID for context retention (optional)\r
\r
Response Format:\r
\r
json\r
{\r
  "success": true,\r
  "processId": "xxx-xxx-xxx",\r
  "message": "Query submitted"\r
}\r
Step 2: Poll for Results\r
Execute scripts/poll.js to poll for the processed result:\r
\r
bash\r
node scripts/poll.js \x3CprocessId> [--max-attempts 60] [--interval 1000]\r
Parameters:\r
\r
processId: Process ID returned from Step 1 (required)\r
\r
--max-attempts: Maximum polling attempts, default 60\r
\r
--interval: Polling interval in milliseconds, default 1000\r
\r
Response Format:\r
\r
json\r
{\r
  "success": true,\r
  "data": { ... },\r
  "attempts": 5,\r
  "elapsed": 5234\r
}\r
Step 3: Parse and Present Results\r
If structured JSON returned: Present key insights clearly with appropriate formatting\r
\r
If raw JSON returned: Present the data with source attribution; offer to further process if needed\r
\r
If Markdown returned: Maintain the formatted report as-is for readability\r
\r
If query fails: Explain possible reasons and suggest alternatives (including data bounties)\r
\r
### Workflow 2: Adding an API Supply\r
Use this when the user wants to add a new API supply to the system. The user provides a natural language description and a documentation link.\r
\r
Step 1: Submit API Supply Addition\r
Execute scripts/query.js with a specially formatted query that includes the API documentation link:\r
\r
bash\r
node scripts/query.js "Add API supply: \x3Cdescription>. Documentation: \x3CDocLink>" [sessionId]\r
Examples:\r
\r
bash\r
# E-commerce API\r
node scripts/query.js "Add API supply: Amazon product search and reviews API. Documentation: https://api.example.com/docs"\r
\r
# Social Media API\r
node scripts/query.js "Add API supply: LinkedIn company page data API. Docs: https://linkedin-api.example.com"\r
\r
# Web3 API\r
node scripts/query.js "Supply a DEX trading volume API for Uniswap and PancakeSwap: https://defi-api.example.com/docs"\r
Alternative Natural Language Formats:\r
\r
"I want to add a new API for job board data. Docs: https://jobs-api.example.com"\r
\r
"Register new data source for esports match results: https://esports-api.example.com"\r
\r
"Add supply: Short video trending data from TikTok. DocLink: https://tiktok-api.example.com"\r
\r
Step 2: Poll for Confirmation\r
Execute scripts/poll.js with the returned processId:\r
\r
bash\r
node scripts/poll.js \x3CprocessId>\r
Expected Response:\r
\r
json\r
{\r
  "success": true,\r
  "data": {\r
    "apiId": "new-api-xxx",\r
    "domain": "e-commerce",\r
    "status": "registered",\r
    "message": "API supply successfully added and pending approval"\r
  }\r
}\r
\r
Step 3: Confirm to User\r
Inform the user that:\r
\r
The API supply has been submitted and categorized under the appropriate domain\r
\r
It will be reviewed and activated shortly\r
\r
They can start using it once approved\r
\r
### Workflow 3: Creating a Data Bounty\r
Use this when the user requests data that is not currently available, and they want to offer a reward/bounty for it.\r
\r
Step 1: Submit Data Bounty\r
Execute scripts/query.js with a query describing the desired data and bounty details:\r
\r
bash\r
node scripts/query.js "Create data bounty: \x3Cdata description>. Reward: \x3Cbounty details>" [sessionId]\r
Examples:\r
\r
bash\r
# E-commerce data bounty\r
node scripts/query.js "Create data bounty: I need Amazon Best Seller rankings updated daily for the electronics category. Reward: $100"\r
\r
# Recruitment data bounty\r
node scripts/query.js "Bounty: Looking for LinkedIn job posting data with salary info across tech companies. Will pay $200"\r
\r
# Gaming data bounty\r
node scripts/query.js "I need real-time player statistics for Valorant competitive matches. Offering $150 bounty"\r
Alternative Natural Language Formats:\r
\r
"I need data on short video trends by region but can't find it. Can I create a bounty?"\r
\r
"Offer reward for marketing campaign performance data across platforms"\r
\r
"Start a bounty for Web3 developer activity metrics. Reward: $500"\r
\r
"The education dataset I want isn't available. How can I request it with a bounty?"\r
\r
Step 2: Poll for Bounty Creation Confirmation\r
Execute scripts/poll.js with the returned processId:\r
\r
bash\r
node scripts/poll.js \x3CprocessId>\r
Expected Response:\r
\r
json\r
{\r
  "success": true,\r
  "data": {\r
    "bountyId": "bounty-xxx-xxx",\r
    "status": "active",\r
    "domain": "gaming",\r
    "description": "Real-time player statistics for Valorant competitive matches",\r
    "reward": "$150",\r
    "createdAt": "2024-01-15T10:30:00Z",\r
    "message": "Bounty created successfully"\r
  }\r
}\r
Step 3: Inform User\r
Provide the user with:\r
\r
Bounty ID for tracking\r
\r
Confirmation that the bounty is now active\r
\r
The domain it was categorized under\r
\r
Estimated timeframe (if available)\r
\r
How they can check bounty status later\r
\r
## Usage Examples\r
Example 1: E-commerce Data with Filtering\r
User Input: "Show me the top 10 best-selling electronics on Amazon with rating above 4 stars and price under $100"\r
\r
Execution:\r
\r
bash\r
RESULT=$(node scripts/query.js "Show me the top 10 best-selling electronics on Amazon with rating above 4 stars and price under $100")\r
PROCESS_ID=$(echo $RESULT | jq -r '.processId')\r
node scripts/poll.js $PROCESS_ID\r
Example 2: Recruitment Data\r
User Input: "Get software engineer job listings in New York posted this week with salary range above $120k"\r
\r
Execution:\r
\r
bash\r
RESULT=$(node scripts/query.js "Get software engineer job listings in New York posted this week with salary range above \$120k")\r
PROCESS_ID=$(echo $RESULT | jq -r '.processId')\r
node scripts/poll.js $PROCESS_ID\r
Example 3: Social Media Analytics\r
User Input: "Fetch trending Twitter posts about AI from the past 24 hours with at least 1000 likes, filter out retweets"\r
\r
Execution:\r
\r
bash\r
RESULT=$(node scripts/query.js "Fetch trending Twitter posts about AI from the past 24 hours with at least 1000 likes, filter out retweets")\r
PROCESS_ID=$(echo $RESULT | jq -r '.processId')\r
node scripts/poll.js $PROCESS_ID\r
Example 4: Web3/DeFi Data\r
User Input: "Get the top 10 DeFi protocols by TVL on Ethereum, with 7-day change percentage"\r
\r
Execution:\r
\r
bash\r
RESULT=$(node scripts/query.js "Get the top 10 DeFi protocols by TVL on Ethereum, with 7-day change percentage")\r
PROCESS_ID=$(echo $RESULT | jq -r '.processId')\r
node scripts/poll.js $PROCESS_ID\r
Example 5: Adding an API Supply for Short Video Data\r
User Input: "I want to add TikTok trending hashtags API. Docs: https://tiktok-api.example.com/docs"\r
\r
Execution:\r
\r
bash\r
RESULT=$(node scripts/query.js "Add API supply: TikTok trending hashtags and video metadata API. Documentation: https://tiktok-api.example.com/docs")\r
PROCESS_ID=$(echo $RESULT | jq -r '.processId')\r
node scripts/poll.js $PROCESS_ID\r
Example 6: Creating a Data Bounty for Sports Data\r
User Input: "I need NBA player performance data with advanced metrics but can't find it. I'll offer $200 for anyone who can supply this."\r
\r
Execution:\r
\r
bash\r
RESULT=$(node scripts/query.js "Create data bounty: NBA player advanced performance metrics API with historical data. Reward: $200")\r
PROCESS_ID=$(echo $RESULT | jq -r '.processId')\r
node scripts/poll.js $PROCESS_ID\r
Error Handling\r
Error Type	Handling Approach\r
API Key not configured	Guide user to visit https://seekin.chat to obtain an API Key\r
Invalid/Expired API Key	Prompt user to refresh their API Key or verify it's correct\r
Query timeout	Retry up to 3 times with incremental backoff\r
Polling timeout	Inform user the task is taking longer; suggest checking back later\r
Invalid response format	Attempt to extract useful information; otherwise report format issue\r
Network error	Prompt user to check network connection\r
Insufficient credits	Direct user to website to check balance and upgrade options\r
API supply already exists	Inform user the API is already available and can be used immediately\r
Bounty creation failed	Explain reason and suggest adjusting reward or description\r
Data not found (bounty eligible)	Proactively suggest creating a data bounty\r
Domain not supported	Suggest creating a bounty or API supply to add the domain\r
Filter too restrictive	Suggest broadening filter criteria and retry\r
Proactive Suggestions\r
The Skill should proactively suggest:\r
\r
Data processing options: "Would you like this data filtered, validated, or returned as raw JSON?"\r
\r
When data is unavailable: "This data isn't currently available. Would you like to create a bounty for it?"\r
\r
When user mentions an API: "Would you like to add this as an API supply? Just provide the documentation link."\r
\r
Domain expansion: "I notice you're requesting data from [domain]. If we don't have it yet, I can help you create a bounty or API supply."\r
\r
Format preference: "I can return this as structured data, raw JSON, or a Markdown report. Which do you prefer?"\r
\r
After successful API supply addition: "Your API supply has been submitted and categorized. You can check its status later with the API ID."\r
\r
When bounty is created: "Your bounty is now active. You'll be notified when someone fulfills it."\r
\r
## Configuration Reference\r
Variable	Description	Default\r
DATAHUB_API_KEY	Required, obtain from https://seekin.chat	None\r
DATAHUB_BASE_URL	DataHub API base URL	https://seekin.chat\r
DATAHUB_TIMEOUT	Request timeout in milliseconds	60000\r
\r
### Important Notes\r
Each query generates a unique processId for result retrieval\r
Results typically take 3-30 seconds; complex queries may take longer\r
Use sessionId to maintain context across multi-turn conversations\r
Scripts use only Node.js built-in modules — no additional dependencies required\r
First-time users must obtain an API Key from https://seekin.chat\r
API supply additions require a valid documentation link (DocLink)\r
Data bounties remain active until fulfilled or cancelled\r
All three operations (query, supply, bounty) use the same API endpoint structure\r
Data can be returned as structured/curated data OR raw API JSON — specify your preference\r
All data queries support filtering, validation, and deduplication\r
\r
\r
## Getting Help\r
🌐 Website: https://seekin.chat\r
💬 Live Support: Ask questions directly in the website's chat dialog\r
📧 Contact: Get technical support through the official website\r
📖 API Documentation: Available after login at https://seekin.chat/docs\r
安全使用建议
This skill appears to implement a networked client that needs a DataHub API key and will read config files from your home and current directories, but the registry metadata does not declare those requirements — treat that as a red flag. Before installing: 1) Verify the skill's source and homepage (no homepage is provided). 2) Confirm you trust the domain (seekin.chat / datahub.seekin.chat) before providing any API key. 3) Prefer supplying a dedicated, limited-scope API key (not shared or high-privilege credentials) and avoid placing secrets in plaintext files. 4) Ask the publisher to update metadata to declare DATAHUB_API_KEY and the config paths, and to provide a reproducible install/run procedure. 5) If you must test, do so in a sandbox or isolated account to avoid exposing sensitive credentials or data to an unknown external service.
功能分析
Type: OpenClaw Skill Name: datahub Version: 0.2.0 The DataHub skill bundle is a legitimate integration for a natural language data retrieval service. The scripts `query.js` and `poll.js` are well-structured Node.js utilities that use built-in modules to interact with the service's API at `datahub.seekin.chat`. The bundle follows standard practices for API key management (environment variables and local config files) and lacks any indicators of malicious intent, such as data exfiltration, unauthorized command execution, or harmful prompt injection.
能力标签
cryptorequires-walletcan-make-purchasesrequires-sensitive-credentials
能力评估
Purpose & Capability
The SKILL.md and bundled scripts implement a networked DataHub client that requires an API key and contacts https://datahub.seekin.chat (seekin.chat). However, the registry metadata lists no required environment variables, no primary credential, and no config paths — inconsistent with the code and README which explicitly expect DATAHUB_API_KEY, optional DATAHUB_BASE_URL, and configuration files. Requiring an API key and network access is coherent with the stated purpose, but the metadata omission is a serious mismatch.
Instruction Scope
SKILL.md describes submitting queries, adding API supplies, and creating bounties that will be sent to the external DataHub API. The bundled scripts (query.js and poll.js) read configuration files from the user's home directory (~/.datahub/config.json) and current working dir, and will transmit the API key to the remote service via header/body/query param. The instructions and code do not attempt to read unrelated system files, but they do access user config paths that were not declared in metadata and will transmit user-supplied query content (including links) to an external endpoint — this should be expected but explicitly disclosed.
Install Mechanism
This is instruction-only with two small helper scripts; there is no install specification that downloads/extracts arbitrary code. No package manager installs or remote downloads are present. Risk from install mechanism is low, but the presence of runnable scripts means the agent (or user) will perform networked operations when invoking them.
Credentials
The skill does require a single primary credential (DataHub API Key) and optionally a base URL/timeouts, but the registry metadata declares none. The code looks for DATAHUB_API_KEY, DATAHUB_BASE_URL, DATAHUB_TIMEOUT and for config files in ~/.datahub/config.json, ./.datahub.json, and ./datahub.config.json. Requesting and transmitting one API key to the service is proportionate for this functionality, but the omission of these env vars/config paths from the declared requirements is misleading and increases risk.
Persistence & Privilege
The skill is not marked 'always', does not install services, and does not modify other skills or global agent configuration. It can be invoked autonomously by the agent (normal default) and will perform outbound requests; this autonomity combined with the credential mismatch increases blast radius but is not unusual by itself.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install datahub
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /datahub 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v0.2.0
DataHub Skill 0.2.0 introduces expanded domain coverage and richer data processing: - Significantly broadened data coverage to include e-commerce, social media, finance, local services, recruitment, Web3, gaming, sports, marketing, education, and more. - Added built-in, configurable data filtering, validation, deduplication, transformation, and aggregation for all queries. - New documentation of supported data domains, output formats (structured, raw JSON, Markdown), and example natural language queries. - Clarified recommended use cases and expanded API supply/bounty information. - Triggers and configuration remain unchanged. No code modifications detected.
v0.1.1
Version 1.1.0 — Major update with new API supply and data bounty features. - Added support for adding API supplies via natural language plus documentation link. - Introduced data bounty functionality, allowing users to offer rewards for unavailable datasets. - Expanded usage scenarios, including new triggers for API addition and bounties. - Updated documentation with clear workflows for standard queries, API supply, and bounty creation. - Improved API key setup guidance, adding project config support and clarifying priority order.
v0.1.0
Initial release of DataHub skill: - Supports calling DataHub data APIs via natural language queries. - Enables asynchronous queries with automatic result polling. - Parses and returns results in JSON and Markdown formats. - Suitable for accessing real-time financial, news, and business data. - Requires DataHub API Key configuration before use.
元数据
Slug datahub
版本 0.2.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 3
常见问题

DataHub for Any Data 是什么?

Call any data interface through natural language with DataHub API. Covers e-commerce, local services, recruitment, social media, short video, finance, news,... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 105 次。

如何安装 DataHub for Any Data?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install datahub」即可一键安装,无需额外配置。

DataHub for Any Data 是免费的吗?

是的,DataHub for Any Data 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

DataHub for Any Data 支持哪些平台?

DataHub for Any Data 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 DataHub for Any Data?

由 Xplore3(@xplore3)开发并维护,当前版本 v0.2.0。

💬 留言讨论