VibeTunnel is a tool that displays a computer terminal in a web browser, allowing users to access terminal sessions and monitor coding agents remotely. It is for developers who want to check agents, builds, or shared terminal sessions from another device, and the catalogue contains instructions, commands, and an MCP integration for it.
Borrowing it
Nothing to install: this file belongs to amantus-ai/vibetunnel. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/amantus-ai/vibetunnel/main/.claude/commands/gemini.mdgit clone --depth 1 https://github.com/amantus-ai/vibetunnelWrote 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.
[](https://agentmods.dev/commands/amantus-ai/vibetunnel/gemini)<a href="https://agentmods.dev/commands/amantus-ai/vibetunnel/gemini"><img src="https://agentmods.dev/badge/commands/amantus-ai/vibetunnel/gemini/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.
<a href="https://agentmods.dev/commands/amantus-ai/vibetunnel/gemini"><img src="https://agentmods.dev/badge/commands/amantus-ai/vibetunnel/gemini.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.00375 |
| Opus 5 | $0.00000 | $0.00187 |
| Sonnet 5 | $0.00000 | $0.00075 |
| Haiku 4.5 | $0.00000 | $0.00038 |
Grade A, and why
gemini 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 9d 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.
What it actually says
/gemini
Execute Gemini CLI with the context from docs/gemini.md for large codebase analysis.
Usage
/gemini {prompt}
Description
This command reads the docs/gemini.md file which contains best practices for using the Gemini CLI with large codebases, then executes the appropriate gemini command based on your prompt.
Examples
Analyze a single file
/gemini @web/src/server/server.ts Explain this file's purpose and structure
Check feature implementation
/gemini @web/src/ Has dark mode been implemented in this codebase?
Analyze entire project
/gemini @./ Give me an overview of this entire project
Verify security measures
/gemini @web/src/ @web/src/api/ Are SQL injection protections implemented?
Implementation
When you use this command, I will:
- Check if Gemini CLI is installed and accessible
- Read the contents of
docs/gemini.mdto understand Gemini CLI usage patterns (provide helpful error if missing) - Analyze your prompt to determine the appropriate Gemini command structure
- Execute the gemini command with the proper flags and file inclusions
- Return the results to help with your codebase analysis
Error Handling
- If Gemini CLI is not installed, provide installation instructions
- If
docs/gemini.mdis missing, use built-in knowledge of Gemini CLI best practices - Handle command execution errors gracefully with helpful messages
Note
The Gemini CLI is particularly useful when:
- Analyzing entire codebases or large directories
- Context window limits are a concern
- You need to verify implementation of specific features across many files
- Working with files totaling more than 100KB
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.
- 9d ago First seen · 58 lines · 0 tokens per session scan A 26043339e10b
gemini is a command published in the GitHub repository amantus-ai/vibetunnel (4,651 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 375 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 2026-08-30.
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explain
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docs
Fetch Rust API documentation from docs.rs.
cache-status
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