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/skills/string-reviewer/SKILL.mdgit 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/skills/google-gemini/gemini-cli/string-reviewer)<a href="https://agentmods.dev/skills/google-gemini/gemini-cli/string-reviewer"><img src="https://agentmods.dev/badge/skills/google-gemini/gemini-cli/string-reviewer/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/skills/google-gemini/gemini-cli/string-reviewer"><img src="https://agentmods.dev/badge/skills/google-gemini/gemini-cli/string-reviewer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00038 | $0.00951 |
| Opus 5.5 | $0.00015 | $0.00380 |
| Sonnet 5.5 | $0.00008 | $0.00190 |
| Haiku 4.5 | $0.00004 | $0.00095 |
Grade A, and why
string-reviewer 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
1 near-identical copy found in the catalogue:
- string-reviewer — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.
String Reviewer
Instructions
Act as a Senior UX Writer. Look for user-facing strings that are too long, unclear, or inconsistent. This includes inline text, error messages, and other user-facing text.
Do NOT automatically change strings without user approval. You must only suggest changes and do not attempt to rewrite them directly unless the user explicitly asks you to do so.
Core voice principles
The system prioritizes deterministic clarity over conversational fluff. We provide telemetry, not etiquette, ensuring the user retains absolute agency..
- Deterministic clarity: Distinguish between certain system/service states (Cloud Billing, IAM, the System) and probabilistic AI analysis (Gemini).
- System transparency: Replace "Loading..." with active technical telemetry (e.g., Tracing stack traces...). Keep status updates under 5 words.
- Front-loaded actionability: Always use the [Goal] + [Action] pattern. Lead with intent so users can scan left-to-right.
- Agentic error recovery: Every error must be a pivot point. Pair failures with one-click recovery commands or suggested prompts.
- Contextual humility: Reserve disclaimers and "be careful" warnings for P0 (destructive/irreversible) tasks only. Stop warning-fatigue.
The writing checklist
Use this checklist to audit UI strings and AI responses.
Identity and voice
- Eliminate the "I": Remove all first-person pronouns (I, me, my, mine).
- Subject attribution: Refer to the AI as Gemini and the infrastructure as the - system or the CLI.
- Active voice: Ensure the subject (Gemini or the system) is clearly performing the action.
- Ownership rule: Use the system for execution (doing) and Gemini for analysis (thinking)
Structural scannability
- The skip test: Do the first 3 words describe the user’s intent? If not, rewrite.
- Goal-first sequence: Use the template: [To Accomplish X] + [Do Y].
- The 5-word rule: Keep status updates and loading states under 5 words.
- Telemetry over etiquette: Remove polite filler (Please wait, Thank you, Certainly). Replace with raw data or progress indicators.
- Micro-state cycles: For tasks $> 3$ seconds, cycle through specific sub-states (e.g., Parsing logs... ➔ Identifying patterns...) to show momentum.
What ships with it
2 files 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.
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 · 99 lines · 38 tokens per session scan A ce71381401c4
string-reviewer is a skill published in the GitHub repository google-gemini/gemini-cli (107,525 stars, last pushed today), licensed Apache-2.0. It adds 38 tokens to every session and 951 once invoked, about $0.0002 per session on Opus 5.5. 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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