Agent skill

Search

Web search with automatic provider fallback (Tavily → DuckDuckGo)

Apache-2.0Auto-check passedProductivity & Automation

Install Search

skills CLI

$ npx skills add QuantClaw/QuantClaw --skill search -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install QuantClaw/QuantClaw search --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/QuantClaw/QuantClaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/assets/skills/search .claude/skills/search && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "search" agent skill from https://github.com/QuantClaw/QuantClaw/tree/main/assets/skills/search into .claude/skills/search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "search", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/QuantClaw/QuantClaw/tree/main/assets/skills/search

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add QuantClaw/QuantClaw --skill search -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install QuantClaw/QuantClaw search --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/QuantClaw/QuantClaw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/assets/skills/search .agents/skills/search && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "search" agent skill from https://github.com/QuantClaw/QuantClaw/tree/main/assets/skills/search into .agents/skills/search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "search", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add QuantClaw/QuantClaw --skill search -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install QuantClaw/QuantClaw search --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/QuantClaw/QuantClaw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/assets/skills/search .cursor/skills/search && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "search" agent skill from https://github.com/QuantClaw/QuantClaw/tree/main/assets/skills/search into .cursor/skills/search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "search", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/QuantClaw/QuantClaw.git --path assets/skills/search

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add QuantClaw/QuantClaw --skill search -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install QuantClaw/QuantClaw search --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/QuantClaw/QuantClaw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/assets/skills/search .gemini/skills/search && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "search" agent skill from https://github.com/QuantClaw/QuantClaw/tree/main/assets/skills/search into .gemini/skills/search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "search", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install QuantClaw/QuantClaw search

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add QuantClaw/QuantClaw --skill search -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/QuantClaw/QuantClaw.git skills-src && mkdir -p .github/skills && cp -r skills-src/assets/skills/search .github/skills/search && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "search" agent skill from https://github.com/QuantClaw/QuantClaw/tree/main/assets/skills/search into .github/skills/search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "search", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add QuantClaw/QuantClaw --skill search -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install QuantClaw/QuantClaw search --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/QuantClaw/QuantClaw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/assets/skills/search .opencode/skills/search && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "search" agent skill from https://github.com/QuantClaw/QuantClaw/tree/main/assets/skills/search into .opencode/skills/search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "search", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: search
GitHub stars: 214
Token cost: ~308 tokens
SKILL.md length: 83 words
Files: 1
Skills in repo: 5
Repo updated: Aug 4, 2026
First seen: Oct 7, 2026
Licence: Apache-2.0

At a glance

Web search with automatic provider fallback (Tavily → DuckDuckGo)

Works in 2 steps: Tavily (TAVILY_API_KEY) — recommended,… → DuckDuckGo — free, no API key required,…
Tasks that involve Web search
Needs TAVILY_API_KEY

What it does

Search is an agent skill from QuantClaw/QuantClaw. Web search with automatic provider fallback (Tavily → DuckDuckGo)

Its SKILL.md is about 310 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Productivity & Automation, covering Web search. It works with Tavily. The repository describes itself as: a C++ implementation of OpenClaw, designed for extremely performance and memory efficiency. site: https://quantclaw.github.io. The licence is Apache-2.0.

When your agent uses it

Tasks that involve Web search

Example prompts

“/search”

Requirements

Python 3
A credential in TAVILY_API_KEY

Workflow steps

2 steps, taken from the first numbered list in SKILL.md.

Tavily (TAVILY_API_KEY) — recommended, high-quality results
DuckDuckGo — free, no API key required, always available as fallback

What it can do on your machine

Read from SKILL.md and the folder at commit 7760ef3. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are json).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
- TAVILY_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Search loads about 308 tokens when it runs. Until then it costs about 18 tokens; SKILL.md has 83 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~18
When it runs · the whole SKILL.md, loaded when a task matches: ~308

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from QuantClaw/QuantClaw at commit 7760ef3, republished under its Apache-2.0 licence (© QuantClaw). 83 words, ~308 tokens.

Download SKILL.mdSave it as .claude/skills/search/SKILL.md (or your agent's skills folder).

name: search
description: Web search with automatic provider fallback (Tavily → DuckDuckGo)
emoji: 🔍
always: true

Use the web_search tool to search the web. Results include titles, URLs, and snippets.

Tool: web_search

Parameter	Type	Required	Description
`query`	string	✓	Search query
`count`	integer	—	Number of results (1–10, default 5)
`freshness`	string	—	Time filter: `day`, `week`, `month`, `year`

Provider cascade (first available key wins):

Tavily (TAVILY_API_KEY) — recommended, high-quality results
DuckDuckGo — free, no API key required, always available as fallback

Set TAVILY_API_KEY in your environment or config for best results:

json

{ "providers": { "tavily": { "apiKey": "tvly-..." } } }

Examples:

web_search({"query": "latest OpenAI news"})
web_search({"query": "Python asyncio tutorial", "count": 3})
web_search({"query": "market open price TSLA", "freshness": "day"})

Slash command: /search <query> triggers an immediate web search.

Files

Just SKILL.md in assets/skills/search of QuantClaw/QuantClaw.

Open the folder on GitHubat commit 7760ef3

Compare with similar skills

Search next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Search compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Search this skillQuantClaw/QuantClaw	214	—	~308	Automated safety check: Pass	Apache-2.0	2 mo ago
Web SearchEXboys/skilllite	170	3 repos	~1k	Automated safety check: Pass	MIT	12 days ago
Ultimate Searchckckck/UltimateSearchSkill	289	—	~944	Automated safety check: Notes	MIT	6 mo ago
Mysearchskernelx/MySearch-Proxy	159	—	~3k	Automated safety check: Notes	None	6 mo ago
Web Search Plus Plugin V2robbyczgw-cla/web-search-plus-plugin	101	—	~1.9k	Automated safety check: Notes	MIT	13 days ago
Tavily Hikari Best PracticesIvanLi-CN/tavily-hikari	362	—	~287	Automated safety check: Pass	MIT	today

Similar skills

Web Search
EXboys/skilllite
Web search and content extraction with Tavily and Exa via inference.sh CLI.
170 GitHub starsUsed in 3 repos~1k tokens
Productivity & AutomationAuto-check passed
Ultimate Search
ckckck/UltimateSearchSkill
双引擎网络搜索：Grok AI 搜索（实时联网+AI分析）+ Tavily 搜索（结构化结果+网页抓取）. An agent skill from ckckck/UltimateSearchSkill.
289 GitHub stars~944 tokensUpdated 6 mo ago
Productivity & AutomationAuto-check: notes
Mysearch
skernelx/MySearch-Proxy
Install, verify, debug, and use MySearch MCP/Skill. An agent skill from skernelx/MySearch-Proxy.
159 GitHub stars~3k tokensUpdated 6 mo ago
Productivity & AutomationAuto-check: notes
Web Search Plus Plugin V2
robbyczgw-cla/web-search-plus-plugin
OpenClaw plugin for source-only Routing v2 multi-provider search, completion-order Research with quality quorum and attributed provenance, heading-aware extraction spans, Tavily-first extraction…
101 GitHub stars~1.9k tokensUpdated 13 days ago
Productivity & AutomationAuto-check: notes
Tavily Hikari Best Practices
IvanLi-CN/tavily-hikari
Guide agents to use Tavily Hikari safely through tvly-hikari.
362 GitHub stars~287 tokensUpdated today
Productivity & AutomationAuto-check passed
Tavily Hikari CLI
IvanLi-CN/tavily-hikari
Run Tavily CLI workflows through a configured Tavily Hikari deployment.
362 GitHub stars~285 tokensUpdated today
Productivity & AutomationAuto-check passed

Questions about Search

What does Search do?

Web search with automatic provider fallback (Tavily → DuckDuckGo). Search is an agent skill from QuantClaw/QuantClaw.

When should I use Search?

Search fits situations like: tasks that involve Web search.

How do I install Search in Claude Code?

Run `npx skills add QuantClaw/QuantClaw --skill search -a claude-code`. Or copy the skill folder (assets/skills/search in QuantClaw/QuantClaw) into .claude/skills/search in your project. Claude Code loads it when a task matches its description.

How do I install Search in Codex?

Run `npx skills add QuantClaw/QuantClaw --skill search -a codex`. Or copy the skill folder (assets/skills/search in QuantClaw/QuantClaw) into .agents/skills/search in your project. Codex loads it when a task matches its description.

Can I use Search in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add QuantClaw/QuantClaw --skill search -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/search, .gemini/skills/search, .github/skills/search and .opencode/skills/search in your project.

What does Search need to run?

Going by SKILL.md and its folder, Search needs credentials named TAVILY_API_KEY. Our summary lists: Python 3; A credential in TAVILY_API_KEY.

Does Search access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Search safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Search use?

Search is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Search use?

About 308 tokens (SKILL.md is roughly 1.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Search?

Skills that share tags, products or a category with Search: Web Search (EXboys/skilllite, 170 stars), Ultimate Search (ckckck/UltimateSearchSkill, 289 stars), Mysearch (skernelx/MySearch-Proxy, 159 stars) and Web Search Plus Plugin V2 (robbyczgw-cla/web-search-plus-plugin, 101 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Search?

QuantClaw (a GitHub organization) maintains it in QuantClaw/QuantClaw, which has 214 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on August 4, 2026.

Source: QuantClaw/QuantClaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Search

Install Search

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Files

Compare with similar skills

Similar skills

Web Search

Ultimate Search

Mysearch

Web Search Plus Plugin V2

Tavily Hikari Best Practices

Tavily Hikari CLI

More from QuantClaw/QuantClaw

QuantClaw Skill Creator

Healthcheck

GitHub

Weather

Questions about Search

Install Search

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Files

Compare with similar skills

Similar skills

More from QuantClaw/QuantClaw

Related

Questions about Search