gemini_search

gemini_search is an agent for coding agents from frederikb96/prism. It costs 0 tokens per session (43 once invoked), scanned A, original, MIT.

A search agent that performs broad searches in parallel and uses Google-based grounding for current results.

In plain words
What is it for?
Use it for broad fact-finding, current events, and parallel searches across multiple related questions.
Why use it?
It helps gather information quickly from several angles when coverage and up-to-date results matter.

Agent

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 agents/frederikb96/prism/gemini_search
Clone the repo
git clone --depth 1 https://github.com/frederikb96/prism

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/agents/frederikb96/prism/gemini_search.svg)](https://agentmods.dev/agents/frederikb96/prism/gemini_search)
Your own site
<a href="https://agentmods.dev/agents/frederikb96/prism/gemini_search"><img src="https://agentmods.dev/badge/agents/frederikb96/prism/gemini_search.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 43 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 $0.00000 $0.00043
Opus 5 $0.00000 $0.00022
Sonnet 5 $0.00000 $0.00009
Haiku 4.5 $0.00000 $0.00004

Measured 3d ago against content hash c43ca24ff479, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, 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 3d 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.

src/prism/prompts/search_manager/agents/gemini_search.md · 2 lines

What it actually says

Aggressive parallel searcher with Google grounding search. High quality, current results. Fast, handles large result sets. Best for: broad coverage, current events, parallel multi-angle search, rapid fact-gathering.

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. 3d ago First seen · 2 lines · 0 tokens per session scan A c43ca24ff479

Subscribe to this mod's changes

gemini_search is an agent published in the GitHub repository frederikb96/prism (0 stars, last pushed 5d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 43 tokens. 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.