string-reviewer

A review guide for text shown to users in a codebase, including interface labels, status messages, and error messages.

In plain words
What is it for?
Use it to review user-facing strings for clarity, brevity, useful error recovery, and consistent style before suggesting changes.
Why use it?
It helps identify wording that is unclear, too long, inconsistent, or difficult to act on.

Skill for Claude CodeCodexGemini CLI

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/google-gemini/gemini-cli/string-reviewer
Any agent
npx skills add google-gemini/gemini-cli --skill string-reviewer
Clone the repo
git clone --depth 1 https://github.com/google-gemini/gemini-cli

Made for: Claude Code, Codex, Gemini CLI.

Per session 38 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 951 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 $0.00038 $0.00951
Opus 5 $0.00019 $0.00476
Sonnet 5 $0.00008 $0.00190
Haiku 4.5 $0.00004 $0.00095

Measured 2d ago against content hash ce71381401c4, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

.gemini/skills/string-reviewer/SKILL.md · 99 lines

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..

  1. Deterministic clarity: Distinguish between certain system/service states (Cloud Billing, IAM, the System) and probabilistic AI analysis (Gemini).
  2. System transparency: Replace "Loading..." with active technical telemetry (e.g., Tracing stack traces...). Keep status updates under 5 words.
  3. Front-loaded actionability: Always use the [Goal] + [Action] pattern. Lead with intent so users can scan left-to-right.
  4. Agentic error recovery: Every error must be a pivot point. Pair failures with one-click recovery commands or suggested prompts.
  5. 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.

Read the full file on GitHub · 99 lines

Files

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.

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 · 99 lines · 38 tokens per session scan A ce71381401c4

Subscribe to this mod's changes

string-reviewer is a skill published in the GitHub repository google-gemini/gemini-cli (106,761 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. 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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