Agent skill

Web Search Linkup

by gooseworks-ai in gooseworks-ai/goose-skills

Web search and content fetching - search the web or extract content from URLs

MITAuto-check passedProductivity & Automation

Install Web Search Linkup

skills CLI

$ npx skills add gooseworks-ai/goose-skills --skill web-search-linkup -a claude-code

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

GitHub CLI

$ gh skill install gooseworks-ai/goose-skills web-search-linkup --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/gooseworks-ai/goose-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/research-tools/capabilities/web-search-linkup .claude/skills/web-search-linkup && 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 "web-search-linkup" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/research-tools/capabilities/web-search-linkup into .claude/skills/web-search-linkup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "web-search-linkup", 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/gooseworks-ai/goose-skills/tree/main/skills/research-tools/capabilities/web-search-linkup

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 gooseworks-ai/goose-skills --skill web-search-linkup -a codex

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

GitHub CLI

$ gh skill install gooseworks-ai/goose-skills web-search-linkup --agent codex

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

Manual copy

$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/research-tools/capabilities/web-search-linkup .agents/skills/web-search-linkup && 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 "web-search-linkup" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/research-tools/capabilities/web-search-linkup into .agents/skills/web-search-linkup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "web-search-linkup", 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 gooseworks-ai/goose-skills --skill web-search-linkup -a cursor

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

GitHub CLI

$ gh skill install gooseworks-ai/goose-skills web-search-linkup --agent cursor

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

Manual copy

$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/research-tools/capabilities/web-search-linkup .cursor/skills/web-search-linkup && 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 "web-search-linkup" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/research-tools/capabilities/web-search-linkup into .cursor/skills/web-search-linkup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "web-search-linkup", 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/gooseworks-ai/goose-skills.git --path skills/research-tools/capabilities/web-search-linkup

--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 gooseworks-ai/goose-skills --skill web-search-linkup -a gemini-cli

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

GitHub CLI

$ gh skill install gooseworks-ai/goose-skills web-search-linkup --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/gooseworks-ai/goose-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/research-tools/capabilities/web-search-linkup .gemini/skills/web-search-linkup && 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 "web-search-linkup" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/research-tools/capabilities/web-search-linkup into .gemini/skills/web-search-linkup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "web-search-linkup", 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 gooseworks-ai/goose-skills web-search-linkup

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 gooseworks-ai/goose-skills --skill web-search-linkup -a github-copilot

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

Manual copy

$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/research-tools/capabilities/web-search-linkup .github/skills/web-search-linkup && 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 "web-search-linkup" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/research-tools/capabilities/web-search-linkup into .github/skills/web-search-linkup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "web-search-linkup", 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 gooseworks-ai/goose-skills --skill web-search-linkup -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 gooseworks-ai/goose-skills web-search-linkup --agent opencode

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

Manual copy

$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/research-tools/capabilities/web-search-linkup .opencode/skills/web-search-linkup && 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 "web-search-linkup" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/research-tools/capabilities/web-search-linkup into .opencode/skills/web-search-linkup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "web-search-linkup", 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: web-search-linkup
GitHub stars: 1.2k
Used in: 1 other repo
Token cost: ~1.1k tokens
SKILL.md length: 433 words
Files: 2
Skills in repo: 273
Repo updated: Oct 8, 2026
First seen: Oct 9, 2026
Licence: MIT

At a glance

Web search and content fetching - search the web or extract content from URLs

Works in 4 steps: Research: Search for information on any… → Content Aggregation: Fetch and process… → Fact Checking: Verify information from… → …
Tasks that involve Web search
SKILL.md covers Setup, Capabilities, Usage and Use Cases, plus 1 more section
Calls curl, python3 and npx; reaches api.gooseworks.ai; needs GOOSEWORKS_API_KEY

What it does

Web Search Linkup is an agent skill from gooseworks-ai/goose-skills. Web search and content fetching - search the web or extract content from URLs

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `skill.meta.json`).

It sits in Productivity & Automation, covering Web search. The repository describes itself as: Library of Growth & GTM skills + data APIs for Claude Code, Codex, Cursor to run ads, social, content, lead gen, seo and data scraping. The licence is MIT.

When your agent uses it

Tasks that involve Web search

Example prompts

“/web-search-linkup”

Requirements

Python 3
Node.js
A credential in GOOSEWORKS_API_KEY

Workflow steps

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

Research: Search for information on any topic
Content Aggregation: Fetch and process web content
Fact Checking: Verify information from multiple sources
News Monitoring: Track news on specific topics

What it can do on your machine

Read from SKILL.md and the folder at commit c650c6d. 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
Shell commands in SKILL.md call:
- curl
- python3
- npx
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
- api.gooseworks.ai
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
- GOOSEWORKS_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Web Search Linkup loads about 1.1k tokens when it runs. Until then it costs about 24 tokens; SKILL.md has 433 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~24
When it runs · the whole SKILL.md, loaded when a task matches: ~1.1k

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 gooseworks-ai/goose-skills at commit c650c6d, republished under its MIT licence (© gooseworks-ai). 433 words, ~1,127 tokens.

Download SKILL.mdSave it as .claude/skills/web-search-linkup/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.

name: web-search-linkup
description: Web search and content fetching - search the web or extract content from URLs
source: orthogonal

Linkup - Web Search & Fetch API

Setup

Read your credentials from ~/.gooseworks/credentials.json:

bash

export GOOSEWORKS_API_KEY=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json'))['api_key'])")
export GOOSEWORKS_API_BASE=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json')).get('api_base','https://api.gooseworks.ai'))")

If ~/.gooseworks/credentials.json does not exist, tell the user to run: npx gooseworks login

All endpoints use Bearer auth: -H "Authorization: Bearer $GOOSEWORKS_API_KEY"

Search the web and fetch content from any URL.

Capabilities

Search: The /search endpoint allows you to retrieve web content
Fetch: The /fetch endpoint allows you to fetch a single webpage from a given URL

Usage

Search

The /search endpoint allows you to retrieve web content.

Parameters:

q* (string) - The natural language question for which you want to retrieve context.
depth* (string) - Defines the precision of the search. standard returns results faster; deep takes longer but yields more comprehensive results.
outputType* (string) - The type of output you want to get. Use structured for a custom-formatted response defined by structuredOutputSchema.
structuredOutputSchema (object) - Required only when outputType is structured. Provide a JSON schema (as a string) representing the desired response format. The root must be of type object.
includeSources (boolean) - Relevant only when outputType is structured. Defines whether the response should include sources. Please note that it modifies the schema of the response, see below
includeImages (boolean) - Defines whether the API should include images in its results.
fromDate (string) - The date from which the search results should be considered, in ISO 8601 format (YYYY-MM-DD). It must be before toDate, if provided, and later than 1970-01-01.
toDate (string) - The date until which the search results should be considered, in ISO 8601 format (YYYY-MM-DD). It must be later than fromDate, if provided, or than 1970-01-01.
includeDomains (string[]) - The domains you want to search on. By default, don't restrict the search. You can provide up to 100 domains.
excludeDomains (string[]) - The domains you want to exclude of the search. By default, don't restrict the search.
includeInlineCitations (boolean) - Relevant only when outputType is sourcedAnswer. Defines whether the answer should include inline citations.
maxResults (number) - The maximum number of results to return.

bash

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"linkup","path":"/search"}'
  "q": "latest AI developments 2024",
  "depth": "standard",
  "outputType": "sourcedAnswer"
}'

Show full SKILL.md (115 more words)Show less

Fetch

The /fetch endpoint allows you to fetch a single webpage from a given URL.

Parameters:

url* (string) - The URL of the webpage you want to fetch.
renderJs (boolean) - Defines whether the API should render the JavaScript of the webpage.
includeRawHtml (boolean) - Defines whether the API should include the raw HTML of the webpage in its response.
extractImages (boolean) - Defines whether the API should extract the images from the webpage in its response.

bash

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"linkup","path":"/fetch","body":{"url":"https://example.com/article"}}'

Use Cases

Research: Search for information on any topic
Content Aggregation: Fetch and process web content
Fact Checking: Verify information from multiple sources
News Monitoring: Track news on specific topics

Discover More

For full endpoint details and parameters:

bash

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/search \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"prompt":"linkup API endpoints"}' List all endpoints
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/details \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"linkup","path":"/search"}'   # Get endpoint details

Files

SKILL.md and 1 other file in skills/research-tools/capabilities/web-search-linkup of gooseworks-ai/goose-skills.

SKILL.md
skill.meta.json

Open the folder on GitHubat commit c650c6d

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in gooseworks-ai/goose-skills, which our catalogue first saw on October 9, 2026.

criptogus/agent-evolve-network.claude/skills/web-search-linkup

Compare with similar skills

Web Search Linkup 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.

Web Search Linkup compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Web Search Linkup this skillgooseworks-ai/goose-skills	1.2k	1 repos	~1.1k	Automated safety check: Pass	MIT	2 days ago
Brave Searchbadlogic/pi-skills	2.6k	5 repos	~592	Automated safety check: Pass	MIT	4 mo ago
Enterprise AI Scenario MapMetaInFLow/Enterprise-ai-scenario-map-skill	632	—	~1.8k	Automated safety check: Pass	MIT	6 mo ago
Web Searchjjyaoao/HelloAgents	3.2k	1 repos	~5.6k	Automated safety check: Pass	MIT	5 days ago
Ddg SearchTheSyart/claude-agent-examples	407	1 repos	~493	Automated safety check: Pass	None	2 mo ago
Local Web SearchuluckyXH/OpenMOSS	1.3k	—	~392	Automated safety check: Notes	MIT	3 mo ago

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Questions about Web Search Linkup

What does Web Search Linkup do?

Web search and content fetching - search the web or extract content from URLs. Web Search Linkup is an agent skill from gooseworks-ai/goose-skills.

When should I use Web Search Linkup?

Web Search Linkup fits situations like: tasks that involve Web search.

How do I install Web Search Linkup in Claude Code?

Run `npx skills add gooseworks-ai/goose-skills --skill web-search-linkup -a claude-code`. Or copy the skill folder (skills/research-tools/capabilities/web-search-linkup in gooseworks-ai/goose-skills) into .claude/skills/web-search-linkup in your project. Claude Code loads it when a task matches its description.

How do I install Web Search Linkup in Codex?

Run `npx skills add gooseworks-ai/goose-skills --skill web-search-linkup -a codex`. Or copy the skill folder (skills/research-tools/capabilities/web-search-linkup in gooseworks-ai/goose-skills) into .agents/skills/web-search-linkup in your project. Codex loads it when a task matches its description.

Can I use Web Search Linkup 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 gooseworks-ai/goose-skills --skill web-search-linkup -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/web-search-linkup, .gemini/skills/web-search-linkup, .github/skills/web-search-linkup and .opencode/skills/web-search-linkup in your project.

What does Web Search Linkup need to run?

Going by SKILL.md and its folder, Web Search Linkup needs the command-line tools its instructions call (curl, python3 and npx) and credentials named GOOSEWORKS_API_KEY. Our summary lists: Python 3; Node.js; A credential in GOOSEWORKS_API_KEY.

Does Web Search Linkup access the network?

SKILL.md names 1 domain. In commands or code: api.gooseworks.ai; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Web Search Linkup 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 Web Search Linkup use?

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

How many tokens does Web Search Linkup use?

About 1.1k tokens (SKILL.md is roughly 4.5k 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 Web Search Linkup?

Skills that share tags, products or a category with Web Search Linkup: Brave Search (badlogic/pi-skills, 2.6k stars), Enterprise AI Scenario Map (MetaInFLow/Enterprise-ai-scenario-map-skill, 632 stars), Web Search (jjyaoao/HelloAgents, 3.2k stars) and Ddg Search (TheSyart/claude-agent-examples, 407 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Web Search Linkup?

gooseworks-ai (a GitHub organization) maintains it in gooseworks-ai/goose-skills, which has 1,240 GitHub stars. The repository holds 273 skills in this directory. The repository was last updated on October 8, 2026.

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

Install Web Search Linkup

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

Linkup - Web Search & Fetch API

Setup

Capabilities

Usage

Search

Fetch

Use Cases

Discover More

Files

Used in 1 other repository

Compare with similar skills

Similar skills

More from gooseworks-ai/goose-skills

Related

Questions about Web Search Linkup