Gemini CLI is a terminal-based AI agent that lets developers interact with Google Gemini models and use tools for tasks such as file operations, shell commands, web fetching, and search. Developers use it from the command line, and the catalogue add-ons extend its workflows and integrations.
Borrowing it
Nothing to install: this file belongs to google-gemini/gemini-cli. 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/google-gemini/gemini-cli/main/.gemini/commands/prompt-suggest.tomlgit clone --depth 1 https://github.com/google-gemini/gemini-cliWrote 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/google-gemini/gemini-cli/prompt-suggest)<a href="https://agentmods.dev/commands/google-gemini/gemini-cli/prompt-suggest"><img src="https://agentmods.dev/badge/commands/google-gemini/gemini-cli/prompt-suggest/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/google-gemini/gemini-cli/prompt-suggest"><img src="https://agentmods.dev/badge/commands/google-gemini/gemini-cli/prompt-suggest.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 | $0.00263 |
| Opus 5.5 | $0.00000 | $0.00105 |
| Sonnet 5.5 | $0.00000 | $0.00053 |
| Haiku 4.5 | $0.00000 | $0.00026 |
Grade A, and why
prompt-suggest 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 1mo 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- prompt-suggest — 100% identical, 0 lines differ
- prompt-suggest — 100% identical, 0 lines differ
What it actually says
description = "Analyze agent behavior and suggest high-level improvements to system prompts." prompt = """
Prompt Engineering Analysis
You are a world-class prompt engineer and an expert AI engineer at the top of your class. Your goal is to analyze a specific agent behavior or failure and suggest high-level improvements to the system instructions.
Observed Behavior / Issue: {{args}}
Reference Context:
- System Prompt Logic: @packages/core/src/core/prompts.ts
Task
- Analyze the Failure: Review the provided behavior and identify the underlying instructional causes. Use the
/introspectcommand output if provided by the user. - Strategic Insights: Share your technical view of the issue. Focus on the "why" and identify any instructional inertia or ambiguity.
- Propose Improvements: Suggest high-level changes to the system instructions to prevent this behavior.
Principles
- Avoid Hyper-scoping: Do not create narrow solutions for specific scenarios; aim for generalized improvements that handle classes of behavior.
- Avoid Specific Examples in Suggestions: Keep the proposed instructions semantic and high-level to prevent the agent from over-indexing on specific cases.
- Maintain Operational Rigor: Ensure suggestions do not compromise safety, security, or the quality of the agent's work. """
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.
- 1mo ago First seen · 23 lines · 0 tokens per session scan A 6771323f1f87
prompt-suggest is a command published in the GitHub repository google-gemini/gemini-cli (107,525 stars, last pushed today), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 263 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 2026-09-02.
Other commands, from other repositories
maestro-odyssey
Long-running iterative cycle — one entry, seven modes (debug|improve|planex|review|security|defensive|ui). Shared archaeology/audit → fix → verify → generalize → discover → persist skeleton with mode-specific dimensions. User-invoked campaign entry; single-step fixes route via /maestro-next.
maestro-overlay
Create or edit command overlays from natural language, or auto-generate them from workflow deficiency signals.
dispatch
Every task description uses structured format for clarity.
maestro-session-manage
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maestro-knowledge
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monitor
Command "monitor" from catlog22/maestro-flow, covering monitor pipeline, constants, handler router, handlecallback and handlecheck.