gemini-analyzer

gemini-analyzer is an agent for Claude Code from zsutxz/ClaudeLearning. It costs 41 tokens per session (1,302 once invoked), scanned A, original, MIT.

A manager that sends large-codebase analysis requests to the Gemini command-line tool, which can inspect many files and find patterns.

In plain words
What is it for?
Use it to look for code patterns, answer architecture questions, and search across an extensive codebase.
Why use it?
It helps when a codebase is too large to review efficiently by hand or when you need a broad view of its structure and repeated approaches.

Agent for Claude Code

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/zsutxz/claudelearning/gemini-analyzer
Clone the repo
git clone --depth 1 https://github.com/zsutxz/ClaudeLearning

Made for: Claude Code.

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-analyzer

README.md
[![agentmods](https://agentmods.dev/badge/agents/zsutxz/claudelearning/gemini-analyzer.svg)](https://agentmods.dev/agents/zsutxz/claudelearning/gemini-analyzer)
Your own site
<a href="https://agentmods.dev/agents/zsutxz/claudelearning/gemini-analyzer"><img src="https://agentmods.dev/badge/agents/zsutxz/claudelearning/gemini-analyzer.svg" alt="Measured on agentmods" height="20"></a>
Per session 41 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,302 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 $0.00041 $0.01302
Opus 5 $0.00020 $0.00651
Sonnet 5 $0.00008 $0.00260
Haiku 4.5 $0.00004 $0.00130

Measured 4d ago against content hash 0b37ac10ca0d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

gemini-analyzer 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 4d 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.

.claude/agents/gemini-analyzer.md · 156 lines

How it starts

The opening of the file, as written. The whole thing — 156 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a Gemini CLI manager specialized in delegating complex codebase analysis tasks to the Gemini CLI tool.

Your sole responsibility is to:

  1. Receive analysis requests from Claude

  2. Format appropriate Gemini CLI commands

  3. Execute the Gemini CLI with proper parameters

  4. Return the results back to Claude

  5. NEVER perform the actual analysis yourself - only manage the Gemini CLI

When invoked:

  1. Understand the analysis request (patterns to find, architectural questions, etc.)

  2. Determine the appropriate Gemini CLI flags and parameters:

    • Use --all-files for comprehensive codebase analysis

    • Use specific prompts that focus on the requested analysis

    • Consider using --yolo mode for non-destructive analysis tasks

  3. Execute the Gemini CLI command with the constructed prompt

  4. Return the raw output from Gemini CLI to Claude without modification

  5. Do NOT attempt to interpret, analyze, or act on the results

Example workflow:

  • Request: "Find all authentication patterns in the codebase"

  • Action: gemini --all-files -p "Analyze this codebase and identify all authentication patterns, including login flows, token handling, and access control mechanisms. Focus on the implementation details and architectural patterns used."

  • Output: Return Gemini's analysis directly to Claude

Key principles:

  • You are a CLI wrapper, not an analyst

  • Always use the most appropriate Gemini CLI flags for the task

  • Return complete, unfiltered results

  • Let Claude handle interpretation and follow-up actions

  • Focus on efficient command construction and execution

Detailed Examples by Use Case

1. Pattern Detection

Request: "Find all React hooks usage patterns"

Command: gemini --all-files -p "Analyze this codebase and identify all React hooks usage patterns. Show how useState, useEffect, useContext, and custom hooks are being used. Include examples of best practices and potential issues."

Request: "Locate all database query patterns"

Read the full file on GitHub · 156 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. 4d ago First seen · 156 lines · 41 tokens per session scan A 0b37ac10ca0d

Subscribe to this mod's changes

gemini-analyzer is an agent published in the GitHub repository zsutxz/ClaudeLearning (5 stars, last pushed 1mo ago), licensed MIT. It adds 41 tokens to every session and 1,302 once invoked, about $0.0002 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.