gemini-search

gemini-search is a skill for Claude Code, Codex from StrinGhost/gemma-skills. It costs 22 tokens per session (568 once invoked), scanned A, original, Apache-2.0.

A web-search tool that uses Google Search through the Gemini service and returns a combined answer with sources.

In plain words
What is it for?
Use it to find current information online and receive a sourced summary of the results.
Why use it?
It reduces the need to open and compare many search results yourself. It keeps the original question when building the search.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/stringhost/gemma-skills/gemini-search
Any agent
npx skills add StrinGhost/gemma-skills --skill gemini-search
Clone the repo
git clone --depth 1 https://github.com/StrinGhost/gemma-skills

Made for: Claude Code, Codex.

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 gemini-search

README.md
[![agentmods](https://agentmods.dev/badge/skills/stringhost/gemma-skills/gemini-search.svg)](https://agentmods.dev/skills/stringhost/gemma-skills/gemini-search)
Your own site
<a href="https://agentmods.dev/skills/stringhost/gemma-skills/gemini-search"><img src="https://agentmods.dev/badge/skills/stringhost/gemma-skills/gemini-search.svg" alt="Measured on agentmods" height="20"></a>
Per session 22 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 568 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00022 $0.00568
Opus 5 $0.00011 $0.00284
Sonnet 5 $0.00004 $0.00114
Haiku 4.5 $0.00002 $0.00057

Measured 5d ago against content hash 0e3718b42455, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

gemini-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 5d 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/gemini-search/SKILL.md · 52 lines

How it starts

The opening of the file, as written. The whole thing — 52 lines — stays where its author put it; the contents beside it link to each section on GitHub.

This skill searches the live web using Google Search grounding via the Gemini API and returns a direct answer with sources.

Instructions

You MUST call the run_js tool using index.html.

Exact payload schema

Pass data as a JSON string with exactly one field:

  • query: String, Required.

Mandatory query construction rules

  • You MUST preserve the user's original question as literally as possible.
  • You MUST preserve the user's original intent.
  • You MUST NOT convert a factual question into a prediction, opinion, or generic topic.
  • You MUST NOT replace a full question with vague keywords when the original question is already clear.
  • If the user asks about whether, is, did, has, current, latest, status, qualify, qualified, going to, or similar status/outcome wording, you MUST keep that wording in the query field.
  • If the user already wrote a clear search-style question, copy it with minimal changes.
  • If unsure, prefer the user's longer literal question over a shorter rewritten query.

Do NOT do this

  • Do NOT rewrite Will Italy go to the next World Cup? into Italy World Cup prediction
  • Do NOT rewrite Did Company X raise funding? into Company X funding
  • Do NOT rewrite Is Product Y available in Singapore? into Product Y Singapore

Good examples

  • User: Can you search whether Italy will go to next world cup or not
    • query: Can you search whether Italy will go to next world cup or not
  • User: Did OpenAI just raise a new funding round?
    • query: Did OpenAI just raise a new funding round?
  • User: Is the Nintendo Switch 2 available in Singapore yet?
    • query: Is the Nintendo Switch 2 available in Singapore yet?
  • User: What's the latest on OpenAI's funding round?
    • query: What's the latest on OpenAI's funding round?

After the tool returns

  • Answer the user's question directly.
  • Keep the answer concise and factual.
  • Cite sources inline or in a short sources list.
  • If an error is returned, report it clearly and suggest checking the Gemini API key and permissions.

Read the full file on GitHub · 52 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 5d ago First seen · 52 lines · 22 tokens per session scan A 0e3718b42455

Subscribe to this mod's changes

gemini-search is a skill published in the GitHub repository StrinGhost/gemma-skills (54 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 22 tokens to every session and 568 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 2026-08-30.

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