gemini-cli

A way to use Google's Gemini command-line tool to analyse very large amounts of project information. Gemini is Google's AI model, and the command line is a text-based way to run programs and give them instructions.

In plain words
What is it for?
It helps analyse large codebases, inspect architecture, investigate security issues, request detailed analysis, get another opinion, and summarize findings in text or structured formats.
Why use it?
It helps when a codebase or investigation is too large to fit comfortably into the main assistant's working context. It also supports asking for evidence and checking findings before they are summarized.

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/fprochazka/claude-code-plugins/gemini-cli
Any agent
npx skills add fprochazka/claude-code-plugins --skill gemini-cli
Clone the repo
git clone --depth 1 https://github.com/fprochazka/claude-code-plugins

Made for: Claude Code, Codex.

Per session 121 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,137 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 $0.00121 $0.01137
Opus 5 $0.00060 $0.00568
Sonnet 5 $0.00024 $0.00227
Haiku 4.5 $0.00012 $0.00114

Measured 2d ago against content hash a754a2777554, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

gemini-cli 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 2d 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.

plugins/gemini-cli/skills/gemini-cli/SKILL.md · 125 lines

How it starts

The opening of the file, as written. The whole thing — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Gemini CLI Integration

Always run through subagents for better iteration and summarization. Make the subagent always ask Gemini to provide evidence, and make the subagent verify the findings before summarizing for the main agent.

NEVER use --approval-mode yolo or --yolo. Gemini must not auto-approve destructive actions.

Quick Reference

# Basic one-shot query (non-interactive mode)
gemini "Explain this codebase architecture"

# Specify model (by alias or full ID)
gemini -m flash "Standard analysis task"
gemini -m pro "Deep reasoning task"
gemini -m gemini-2.5-flash "Use specific GA model"

# Include additional directories in context
gemini --include-directories ./libs,./shared "Analyze dependencies"

# Multi-line prompt using heredoc
gemini <<'__GEMINI_PROMPT__'
Analyze this codebase for security vulnerabilities.
Focus on: SQL injection, XSS, authentication issues
__GEMINI_PROMPT__

# Output formats
gemini -o json "query"         # structured JSON output
gemini -o text "query"         # default
gemini -o stream-json "query"  # real-time JSONL events

Available Models

Model Aliases (recommended for -m flag)

Alias Resolves to Use case
auto gemini-3-pro-preview Default, auto-routing
pro gemini-3-pro-preview Deep reasoning
flash gemini-3-flash-preview Fast agentic coding
flash-lite gemini-2.5-flash-lite Lowest latency/cost

Full Model IDs

Gemini 3 (Preview):

  • gemini-3-pro-preview - Most powerful, deep reasoning
  • gemini-3-flash-preview - Best for agentic coding (78% SWE-bench), 1/4 cost of Pro

Gemini 2.5 (GA):

  • gemini-2.5-pro - Stable, balanced performance
  • gemini-2.5-flash - Stable, fast
  • gemini-2.5-flash-lite - Lowest latency and cost

Headless Mode Tool Restrictions

In non-interactive mode (positional query or -p flag), Gemini restricts certain tools by default:

Default Excluded: shell, edit, write_file, web_fetch
--approval-mode auto_edit Excluded: shell only

Read the full file on GitHub · 125 lines

Files

What ships with it

1 file 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. 2d ago First seen · 125 lines · 121 tokens per session scan A a754a2777554

Subscribe to this mod's changes

gemini-cli is a skill published in the GitHub repository fprochazka/claude-code-plugins (11 stars, last pushed 4d ago), licensed MIT. It adds 121 tokens to every session and 1,137 once invoked, about $0.0006 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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