gemini-search

gemini-search is a skill for Claude Code, Codex from cu-aaii/claude-skills. It costs 29 tokens per session (3,109 once invoked), scanned A, original, MIT.

A skill for searching the current web through Gemini with Google’s enterprise search system. It turns a request into a search query and returns sourced results with citations.

In plain words
What is it for?
Use it for current web research, including searches for products, documentation, policies, releases, or other time-sensitive information.
Why use it?
It helps answer questions about information that may have changed since the model’s training, while showing where the information came from.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it for current web research, including searches for products, documentation, policies, releases, or other time-sensitive information.

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Install with agentmods
npx agentmods add skills/cu-aaii/claude-skills/gemini-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 cu-aaii/claude-skills --skill gemini-search
Clone the repo
git clone --depth 1 https://github.com/cu-aaii/claude-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/cu-aaii/claude-skills/gemini-search/github.svg)](https://agentmods.dev/skills/cu-aaii/claude-skills/gemini-search)
Your own site
<a href="https://agentmods.dev/skills/cu-aaii/claude-skills/gemini-search"><img src="https://agentmods.dev/badge/skills/cu-aaii/claude-skills/gemini-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 gemini-search

Your own site · 80×15
<a href="https://agentmods.dev/skills/cu-aaii/claude-skills/gemini-search"><img src="https://agentmods.dev/badge/skills/cu-aaii/claude-skills/gemini-search.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 29 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,109 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 $0.00029 $0.03109
Opus 5 $0.00015 $0.01554
Sonnet 5 $0.00006 $0.00622
Haiku 4.5 $0.00003 $0.00311

Measured 12d ago against content hash b22522c779ce, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

gemini-search scanned grade A with 1 finding 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

## Step 1: Run the search (curl)
gemini-search/SKILL.md · 242 lines

How it starts

The opening of the file, as written. The whole thing — 242 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Web Search via Gemini + Enterprise Web Search Grounding

Use this skill when the user invokes /gemini-search … or whenever you need current web information.

Goal: run a grounded web search with Gemini using Google's Enterprise Web Search, then present Gemini's answer with inline citations, Search Suggestions, and a source list — without adding your own analysis or interspersing other content.


Step 0: Create the query (do this before calling the API)

Always turn what the user said into a search query string first.

If the user invoked /gemini-search …

Treat the text after /gemini-search as user intent, not necessarily a perfectly-formed query.

  • If it already looks like a search query (short, keyword-y, includes operators like site: / filetype: / quotes), keep it as-is.
  • Otherwise, distill it into a Google-style query.

If you are invoking this skill implicitly

Generate a query from the user's most recent request.

Query-building rules

  • Include key entities (names, products, orgs, places) + the specific ask (e.g., "pricing", "release date", "policy", "error", "docs", "examples").
  • Respect constraints: versions, geography, timeframe, platform, format.
  • Prefer 6–14 meaningful words; remove filler.
  • Use operators when helpful:
    • Exact phrase: "…".
    • Official sources: site:….
    • PDFs: filetype:pdf.
    • Synonyms: (term1 OR term2).

Do not show your query-building reasoning. Optionally, you may show the final query as a single line: Query: …


Step 1: Run the search (curl)

Use the Bash tool to execute the request.

Important implementation notes

  • Construct the JSON payload inline. Escape any double quotes or backslashes in the user's query when building the JSON string.
  • Do not stream. Some gateways omit grounding metadata in streaming mode; this skill expects the full JSON response.
  • Never print or log the auth token.

Bash command

Replace <QUERY> with the final query string from Step 0 (escape " as \" and \ as \\ within the JSON):

Read the full file on GitHub · 242 lines

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 · 242 lines · 29 tokens per session scan A b22522c779ce

Subscribe to this mod's changes

gemini-search is a skill published in the GitHub repository cu-aaii/claude-skills (4 stars, last pushed 1mo ago), licensed MIT. It adds 29 tokens to every session and 3,109 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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