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string-reviewer字符串审阅者

Agent Skill

string-reviewer 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

5,005

周安装

215

GitHub Stars

102,769

下载量

1,754
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:string-reviewer(字符串审阅者)
来源仓库:https://github.com/google-gemini/gemini-cli
仓库路径:skills/string-reviewer
安装命令:
npx skills add https://github.com/google-gemini/gemini-cli --skill string-reviewer
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/google-gemini/gemini-cli --skill string-reviewer

简介

用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。

  • 适合围绕仓库状态、代码变更或协作事项进行整理和分析。
  • 可结合来源仓库和原始 README 核验具体用法和功能边界。
  • 安装前建议确认权限范围、维护状态,以及是否会触发联网或文件读写。
  • 涉及生产环境操作时应优先评估风险并获取必要授权。

SKILL.md

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.

Technical accuracy and humility

  • Verb signal check: Use deterministic verbs (is, will, must) for system state/infrastructure.

- Use probabilistic verbs (suggests, appears, may, identifies) for AI output.

  • No 100% certainty: Never attribute absolute certainty to model-generated content.
  • Precision over fuzziness: Use technical metrics (latency, tokens, compute) instead of "speed" or "cost."
  • Instructional warnings: Every warning must include a specific corrective action (e.g., "Perform a dry-run first" or "Review line 42").

Agentic error recovery

  • The one-step rule: Pair every error message with exactly one immediate path to a fix (command, link, or prompt).
  • Human-first: Provide a human-readable explanation before machine error codes (e.g., 404, 500).
  • Suggested prompts: Offer specific text for the user to copy/click like “Ask Gemini: 'Explain this port error.'”

Use consistent terminology

Ensure all terminology aligns with the project word list.

If a string uses a term marked "do not use" or "use with caution," provide a correction based on the preferred terms.

Ensure consistent style for settings

If packages/cli/src/config/settingsSchema.ts is modified, confirm labels and descriptions specifically follow the unique Settings guidelines.

Output format

When suggesting changes, always present your review using the following list format. Do not provide suggestions outside of this list..

1. **{Rationale/Principle Violated}**
  - ❌ "{incorrect phrase}"
  - ✅ `"{corrected phrase}"`

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

33.82%
按下载量换算593

Claude

31.51%
按下载量换算553

Cursor

17.55%
按下载量换算308

Gemini CLI

9.7%
按下载量换算170

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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