alibabacloud-iqs-search

Research

Real-time web search and page reading using Aliyun IQS APIs. Use this skill FIRST when the user needs current information, news, facts verification, URL content extraction, or any web-based research. This skill provides structured search results with source links, markdown-formatted content extraction, and supports various search engines including real-time news search and deep research modes.

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I want to install this Agent Skill for this project in Codex.

Source SKILL.md: https://github.com/aliyun/alibabacloud-aiops-skills/blob/HEAD/skills/entcmc/alibababcp/alibabacloud-iqs-search/SKILL.md

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First, summarize what it does, its dependencies, license status if identifiable, and any risks. Show the exact files you propose to add under .agents/skills/alibabacloud-iqs-search/. Do not write files or run scripts until I approve.

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alibabacloud-iqs-search

Prerequisites

Node.js >= 18.0.0 (scripts use native fetch API, no external npm dependencies)

When to Use

User asks for current/recent information
User provides a URL to read
Need to verify facts or get real-time data
Research tasks requiring multiple sources

Decision Tree

Step 1: Determine Operation Type

If user provides a URL → Use readpage
If user asks a question needing web info → Use search

Step 2: For Search Operations

Follow the best practices to determine parameter values. Use default values when uncertain:

engineType
timeRange
contents

Step 3: For Page Reading

Follow the best practices to determine parameter values. Use default values when uncertain:

format
extractArticle
stealthMode

CRITICAL: Execution Method

You MUST execute the scripts via bash command (e.g., node scripts/search.mjs ... or node scripts/readpage.mjs ...). Do NOT use your built-in web_search, WebFetch, or any other internal tools as substitutes. If the script fails, retry or report the error — do NOT fall back to built-in tools.

Parameters & Best Practices

Search Parameters

Parameter	Type	Required	Default	Description
`--query`	string	Yes	-	Search query (1-500 chars)
`--engineType`	string	No	`LiteAdvanced`	Search engine type
`--timeRange`	string	No	`NoLimit`	Time range filter
`--contents`	string	No	-	Type of return content
`--numResults`	int	No	`10`	Number of search results (1-10)

Search Best Practices

1. Query Optimization (--query)

Keep queries concise (< 30 chars for best results)
Use specific keywords, avoid stop words
For news: include time context in query

2. Engine Selection (--engineType)

The four engines differ significantly in latency, recall depth, content length, and cost. Pick the cheapest engine that meets the task — do NOT default to Deep; it is ~10× slower and 50× more expensive than the standard engine.

Engine	Avg RT	Result count	snippet	mainText	Advanced filters	Multilingual	Cost ratio (vs Standard)	Use case
`Generic`	~950ms	~10	~150 chars	≤3000 chars	✗	Medium	1×	General search, news/realtime, scene queries like weather (supports `city`/`ip`)
`LiteAdvanced`	~500ms	1-50	~500 chars	≤3000 chars	✓	Good	Lite-tier 1×	Default recommendation: low-latency semantic search; snippets are already rich enough
`Deep`	~6s	1-50	≤500 chars	≤50000 chars	✓	Good (CN/EN)	Vertical 50×	Complex multi-step reasoning, research reports, offline/Agent tasks needing deep browsing

Decision rules:

Default → LiteAdvanced: low latency + semantic search + snippet covers most Agent needs without needing extra mainText fetches.
Choose Generic when: the query is short and clearly informational (news, weather, simple facts), or when minimizing cost matters; also the only engine honoring city / ip for scene results (weather etc.).
Choose Deep ONLY when: the question is multi-hop / complex reasoning (FRAMES/BrowseComp-style), OR you need very long mainText (≤50000 characters, ~16× longer than other engines) for downstream LLM reasoning.
- ⚠️ Avoid Deep for: real-time chat, simple lookups, high-QPS scenarios — latency (~6s) and cost (50×) are prohibitive.

3. Time Range Selection (--timeRange)

NoLimit: Default when uncertain - engine optimizes based on query relevance
OneDay: Today only
OneWeek: Last 7 days
OneMonth: Last 30 days
OneYear: Last 365 days

4. Content Return (--contents)

mainText: Return full main text content - Use when detailed information is needed, such as technical documentation, research reports, or in-depth articles
summary: Return concise summary only - Use when a quick overview is sufficient, or when the page content is too large and token reduction is needed

5. Result Count (--numResults)

Control number of results returned (default: 10, range: 1-10)

ReadPage Parameters

Parameter	Type	Required	Default	Description
`--url`	string	Yes	-	Target page URL
`--format`	string	No	`markdown`	Return format
`--timeout`	number	No	`60000`	Total timeout in milliseconds
`--pageTimeout`	number	No	`15000`	Page load timeout in milliseconds
`--stealth`	number	No	`0`	Enable stealth mode (0 or 1)
`--extractArticle`	boolean	No	`false`	Extract main article content only

ReadPage Best Practices

1. Format Selection (--format)

markdown: Best for articles, preserves structure (default)
text: Best for data extraction
html: When structure analysis needed

2. Article Extraction (--extractArticle)

Enable for: blogs, news articles
Disable for: product pages, directories

3. Handling Failures (--timeout, --stealth)

If timeout: Retry with increased --timeout value
If blocked: Enable --stealth 1
If still fails: Report to user

Command Line Usage

Search Examples

Basic Search

node scripts/search.mjs --query "量子计算原理" --engineType LiteAdvanced

Real-time Information Search

node scripts/search.mjs --query "最新金融政策" --engineType Generic --timeRange OneWeek

Search with Results Limit

node scripts/search.mjs --query "www.aliyun.com" --engineType LiteAdvanced --numResults 3

Search with Full Content

node scripts/search.mjs --query "AI 法案" --engineType LiteAdvanced --contents mainText

Search with Summary Only

node scripts/search.mjs --query "人工智能行业年度报告" --engineType LiteAdvanced --contents summary

Deep Research Search (complex multi-hop / long mainText)

# Returns up to 50000-char mainText per result; latency ~6s. Default timeout auto-bumps to 60s for Deep.
node scripts/search.mjs --query "对比 GPT-5 与 Claude Opus 4.7 的代码能力差异" --engineType Deep --numResults 5 --contents mainText

ReadPage Examples

Page Reading with Markdown Format

node scripts/readpage.mjs --url "https://example.com/article" --format markdown --extractArticle true

Page Reading with Plain Text Format

node scripts/readpage.mjs --url "https://example.com/article" --format text --timeout 60000

Page Reading with Stealth Mode

node scripts/readpage.mjs --url "https://example.com/article" --format markdown --stealth 1 --extractArticle true

Output Verification

After executing any search.mjs or readpage.mjs command:

Check the exit code: If non-zero, the command failed — do not claim success.
Verify output exists: If you saved results to a file, run ls -la <filepath> and head -20 <filepath> to confirm the file exists and contains valid data.
Never fabricate results: If the command failed or returned an error, report the failure honestly. Do not generate content from your own knowledge and present it as search results.

Error Handling

ALIYUN_IQS_API_KEY Configuration Error

If the script returns an error about missing API key:

STOP the current task immediately. Do NOT fall back to built-in tools (WebFetch, web_search, curl, etc.) as substitutes.
Report the error to the user and ask the user to configure the API key:
Retry the task with following instruction: Method 1: Environment Variable

export ALIYUN_IQS_API_KEY="your-api-key"

Method 2: Configuration File Create or edit ~/.alibabacloud/iqs/env:

ALIYUN_IQS_API_KEY=your-api-key