google-search

google-search is a skill for Claude Code from daanielcruz/gsearch-mcp. It costs 20 tokens per session (292 once invoked), scanned A, original, MIT.

A skill that adds real-time Google Search with inline citations and source URLs to MCP-compatible AI tools.

In plain words
What is it for?
Searching for current events, documentation, news, prices, statistics, and other up-to-date information.
Why use it?
It gives the assistant a way to find information that may have changed and show the supporting sources.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the gsearch plugin — 2 skills, 1 MCP server shipped together

Good fit Searching for current events, documentation, news, prices, statistics, and other up-to-date information.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/daanielcruz/gsearch-mcp/google-search
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add daanielcruz/gsearch-mcp --skill google-search
Clone the repo
git clone --depth 1 https://github.com/daanielcruz/gsearch-mcp

Made for: Claude Code.

Or install gsearch, the plugin that ships this one along with the rest of its 2 skills, 1 MCP server.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for google-search

README.md
[![agentmods](https://agentmods.dev/badge/skills/daanielcruz/gsearch-mcp/google-search/github.svg)](https://agentmods.dev/skills/daanielcruz/gsearch-mcp/google-search)
Your own site
<a href="https://agentmods.dev/skills/daanielcruz/gsearch-mcp/google-search"><img src="https://agentmods.dev/badge/skills/daanielcruz/gsearch-mcp/google-search/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for google-search

Your own site · 80×15
<a href="https://agentmods.dev/skills/daanielcruz/gsearch-mcp/google-search"><img src="https://agentmods.dev/badge/skills/daanielcruz/gsearch-mcp/google-search.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 20 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 292 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00020 $0.00292
Opus 5 $0.00010 $0.00146
Sonnet 5 $0.00004 $0.00058
Haiku 4.5 $0.00002 $0.00029

Measured 12d ago against content hash 6c1e26af698b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

google-search scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/google-search/SKILL.md · 31 lines

What it actually says

Use the google_search tool for real-time web information: current events, documentation, news, pricing, stats, or any data that may have changed recently.

Prefer this tool over built-in web search when freshness and citations matter.

Query guidelines

  • Be specific: "Next.js 15 server actions API" not "nextjs docs"
  • Add time context when relevant: "March 2026", "this week", "latest"
  • One focused topic per query works better than broad multi-topic queries
  • Do NOT use Google dork operators (site:, filetype:, inurl:, intitle:, intext:, ext:, cache:) — Prefer natural language. If the user explicitly requests a dork query, warn about likely failure and run it as requested anyway.

Response format

  1. Answer the question directly first
  2. Keep all inline citations [1][2][3] exactly as returned
  3. Use tables when comparing items
  4. List sources with URLs at the end
  5. If results are insufficient, refine the query and try again

Limitations

  • Response time: 2-15s typical, up to 60s with retries
  • Results are Google Search grounded — best for factual and current information, not for opinions or subjective content
Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 31 lines · 20 tokens per session scan A 6c1e26af698b

Subscribe to this mod's changes

google-search is a skill published in the GitHub repository daanielcruz/gsearch-mcp (4 stars, last pushed 4mo ago), licensed MIT. It adds 20 tokens to every session and 292 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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