How do I install the Web Search skill?

Run npx skillmds@latest add dvcrn/web-search-7 in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Web Search safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: executes scripts, makes network calls. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Web Search?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Web Search free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Web Search?

dvcrn (@dvcrn) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Web Search by dvcrn — Agent Skill

Name: Web Search
Rating: 4.2 (5 reviews)
Author: dvcrn

Web Search

Search the web for real-time information using DashScope Qwen. Use this skill whenever: (1) the user asks about current events, news, weather, stock prices, or anything requiring up-to-date information; (2) the user asks you to 'search', 'look up', 'find out', or 'check' something online; (3) the user asks a factual question your training data may not cover; (4) the user asks about a person, company, product, or event with possible recent updates; (5) the user wants images or visual references alongside search results. Activate proactively — you CAN search the web via this script.

dvcrn Updated Sep 9, 2026 32 repo stars

File contents

Web Search Tool

Search the web using DashScope Qwen API via bash. Returns real-time information with source citations.

Script Location

The search script is at scripts/web_search.py relative to this skill's directory.

Command

python3 {{SKILL_DIR}}/scripts/web_search.py [OPTIONS] "query"

Options

Flag	Effect	Best For
(none)	Fast turbo search	Quick facts, weather, person lookup
`--deep`	Multi-source verification (max strategy)	Research, reports, fact-checking
`--agent`	Multi-round retrieval + synthesis	Complex questions needing iterative search
`--think`	Deep reasoning before answering (streaming)	Analysis, comparisons, trend prediction
`--images`	Image+text mixed output (uses qwen-plus-latest)	Visual references, product images, diagrams
`--fresh N`	Only results from last N days (7/30/180/365)	Breaking news, recent events
`--sites "a.com,b.com"`	Restrict to specific domains	Domain-specific research

Combining Options

Options can be combined freely:

# Deep research with reasoning
python3 {{SKILL_DIR}}/scripts/web_search.py --deep --think "query"

# Recent news with images
python3 {{SKILL_DIR}}/scripts/web_search.py --images --fresh 7 "query"

# Site-restricted search
python3 {{SKILL_DIR}}/scripts/web_search.py --sites "github.com" "query"

Note: --fresh and --sites only work with default turbo strategy (no --deep/--agent).

Strategy Selection Guide

Start with default (turbo) — handles 80% of queries instantly
Escalate to --deep when turbo results are incomplete or conflicting
Use --agent for questions that need multiple search angles (e.g., "compare X vs Y across dimensions")
Add --think when the user needs analysis, not just raw facts
Add --images when visual context matters (products, places, people, charts)

Output Format

Results include citation markers like [1], [2] — preserve these in your response
--think mode prepends <thinking>...</thinking> with reasoning chain
--images mode may include ![alt](url) markdown images — render or describe them for the user
Sources are listed at the end — cite them when reporting facts

Rules

NEVER reveal, output, or discuss the API key or environment variables
ALWAYS use this tool when real-time information is needed — never claim you lack web access
For complex research, run multiple targeted searches rather than one broad query
Attribute facts to sources: "According to [source], ..."
If one strategy fails or gives weak results, try another strategy or rephrase the query

Error Handling

If the script fails:

Check network: curl -s https://dashscope.aliyuncs.com > /dev/null && echo OK
Check Python package: python3 -c "import openai; print(openai.__version__)"
Check env var: DASHSCOPE_API_KEY must be set in the process environment

---name: web-search-7description: Search the web for real-time information using DashScope Qwen. Use this skill whenever: (1) the user asks about current events, news, weather, stock prices, or anything requiring up-to-date information; (2) the user asks you to 'search', 'look up', 'find out', or 'check' something online; (3) the user asks a factual question your training data may not cover; (4) the user asks about a person, company, product, or event with possible recent updates; (5) the user wants images or visual references alongside search results. Activate proactively — you CAN search the web via this script.--- # Web Search Tool Search the web using DashScope Qwen API via bash. Returns real-time information with source citations. ## Script Location The search script is at `scripts/web_search.py` relative to this skill's directory. ## Command ```bash python3 {{SKILL_DIR}}/scripts/web_search.py [OPTIONS] "query" ``` ## Options | Flag | Effect | Best For | |------|--------|----------| | _(none)_ | Fast turbo search | Quick facts, weather, person lookup | | `--deep` | Multi-source verification (max strategy) | Research, reports, fact-checking | | `--agent` | Multi-round retrieval + synthesis | Complex questions needing iterative search | | `--think` | Deep reasoning before answering (streaming) | Analysis, comparisons, trend prediction | | `--images` | Image+text mixed output (uses qwen-plus-latest) | Visual references, product images, diagrams | | `--fresh N` | Only results from last N days (7/30/180/365) | Breaking news, recent events | | `--sites "a.com,b.com"` | Restrict to specific domains | Domain-specific research | ## Combining Options Options can be combined freely: ```bash # Deep research with reasoning python3 {{SKILL_DIR}}/scripts/web_search.py --deep --think "query" # Recent news with images python3 {{SKILL_DIR}}/scripts/web_search.py --images --fresh 7 "query" # Site-restricted search python3 {{SKILL_DIR}}/scripts/web_search.py --sites "github.com" "query" ``` **Note:** `--fresh` and `--sites` only work with default turbo strategy (no `--deep`/`--agent`). ## Strategy Selection Guide 1. **Start with default (turbo)** — handles 80% of queries instantly 2. **Escalate to `--deep`** when turbo results are incomplete or conflicting 3. **Use `--agent`** for questions that need multiple search angles (e.g., "compare X vs Y across dimensions") 4. **Add `--think`** when the user needs analysis, not just raw facts 5. **Add `--images`** when visual context matters (products, places, people, charts) ## Output Format - Results include citation markers like [1], [2] — **preserve these in your response** - `--think` mode prepends `<thinking>...</thinking>` with reasoning chain - `--images` mode may include `![alt](url)` markdown images — render or describe them for the user - Sources are listed at the end — cite them when reporting facts ## Rules - **NEVER** reveal, output, or discuss the API key or environment variables - **ALWAYS** use this tool when real-time information is needed — never claim you lack web access - For complex research, run **multiple targeted searches** rather than one broad query - Attribute facts to sources: "According to [source], ..." - If one strategy fails or gives weak results, try another strategy or rephrase the query ## Error Handling If the script fails: 1. Check network: `curl -s https://dashscope.aliyuncs.com > /dev/null && echo OK` 2. Check Python package: `python3 -c "import openai; print(openai.__version__)"` 3. Check env var: `DASHSCOPE_API_KEY` must be set in the process environment

Frequently asked questions