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Agent Skill · 研究检索

add-guard-protection(添加守卫保护)

add-guard-protection 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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。

add-guard-protection 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 60,207。

总安装 372周安装 16GitHub Stars 公开资料未说明下载 131核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:add-guard-protection(添加守卫保护)
来源仓库:https://github.com/arcjet/skills
仓库路径:skills/add-guard-protection
安装命令:
npx skills add https://github.com/arcjet/skills --skill add-guard-protection
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/arcjet/skills --skill add-guard-protection

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

add-guard-protection 用于为 AI Agent 工具调用、MCP 处理器等无 HTTP 请求路径添加安全防护机制。适用于需要防止提示词注入、限制调用频率或屏蔽敏感信息的系统环境。通过 Arcjet Guard 实现速率限制、异常输入检测和自定义规则配置。

需先通过 CLI 完成身份认证和站点设置,注意密钥管理与远程规则同步的安全性。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/add-guard-protection

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/arcjet/skills --skill add-guard-protection;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

add-guard-protection 怎么安装?

在终端执行 npx skills add https://github.com/arcjet/skills --skill add-guard-protection。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

add-guard-protection 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

add-guard-protection 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

add-guard-protection 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

add-guard-protection 用的人多吗?

公开数据是累计安装 372 次,近一周安装 16 次,下载 131 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

add-guard-protection 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
add-guard-protection

添加守卫保护 · 本页

372—接触敏感数据未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Add Arcjet Guard Protection

Arcjet Guard provides rate limiting, prompt injection detection, sensitive information blocking, and custom rules for code paths that don't have an HTTP request — AI agent tool calls, MCP tool handlers, background job processors, queue workers, and similar.

Step 0: Set Up the Arcjet CLI

The Arcjet CLI is the primary tool for authenticating, managing sites, configuring remote rules, and monitoring traffic. Install it if not already available:

# Via npx (no install required)
npx @arcjet/cli --help

# Or install globally via npm
npm install -g @arcjet/cli

# Or via Homebrew
brew install arcjet

Authenticate

arcjet auth login

Opens the browser for authentication. Check status with arcjet auth status.

Site & Key Setup

# List your teams
arcjet teams list

# List sites for a team
arcjet sites list --team-id <team-id>

# Create a new site
arcjet sites create --team-id <team-id> --name "My Guard App" --confirm

# Get the SDK key for a site
arcjet sites get-key --site-id <site-id>

Add the key to your environment file (.env, .env.local, etc.) as ARCJET_KEY.

Step 1: Detect the Language and Install

Check the project for language indicators:

  • package.json → JavaScript/TypeScript → npm install @arcjet/guard (requires @arcjet/guard >= 1.4.0)
  • requirements.txt / pyproject.toml → Python → pip install arcjet (requires arcjet >= 0.7.0; Guard is included)
  • go.mod, Cargo.toml, pom.xml, or other languages → Guard is not available. Tell the user that Arcjet Guard currently only supports JavaScript/TypeScript and Python. Do not create a hand-rolled imitation or hallucinate a package that doesn't exist. Suggest they reach out to Arcjet with their use case.

Step 2: Read the Language Reference

You must read the reference file for the detected language before writing any code. The references contain the exact imports, constructor signatures, rule configuration syntax, and guard() call patterns for that language.

Do not guess at the API. The reference files are the source of truth for all code patterns.

Step 3: Create the Guard Client (Once, at Module Scope)

The client holds a persistent connection. Create it once at module scope and reuse it — never inside a function or per-call. Name the variable arcjet.

Check if ARCJET_KEY is set in the environment file (.env, .env.local, etc.). If not, obtain the key in this priority order:

  1. CLI (preferred): Run arcjet sites get-key --site-id <site-id> (requires arcjet auth login first — see Step 0)
  2. MCP: If the Arcjet MCP server is connected, use it to list sites and retrieve the key
  3. Manual (last resort): Add a placeholder and tell the user to get a key from https://app.arcjet.com

Step 4: Configure Rules at Module Scope

Rules are configured once as reusable factories, then called with per-invocation input. This two-phase pattern matters — the rule config carries a stable ID used for server-side aggregation, while the per-call input varies.

When configuring rate limit rules, set bucket to a descriptive name (e.g. "tool-calls", "session-api") for semantic clarity and fewer collisions.

Choosing Rules by Use Case

Use caseRecommended rules
AI agent tool callstokenBucket + detectPromptInjection
MCP tool handlersslidingWindow or tokenBucket + detectPromptInjection
Background AI task processortokenBucket + localDetectSensitiveInfo
Queue worker with user inputtokenBucket + detectPromptInjection + localDetectSensitiveInfo
Scanning tool results for injectiondetectPromptInjection (scan the returned content)

Step 5: Call guard() Inline Before Each Operation

Call guard() directly where each operation happens — inline in each tool handler, task processor, or function that needs protection. Do not wrap guard in a shared helper function.

Each guard() call takes:

  • label: descriptive string for the dashboard (e.g. "tools.search_web", "tasks.generate")
  • rules: array of bound rule invocations
  • metadata (optional): key-value pairs for analytics/auditing (e.g. {userId})

Rate limit rules take an explicit key string — use a user ID, session ID, API key, or any stable identifier.

You MUST modify the existing source files — adding the dependency to package.json/requirements.txt alone is not enough. The guard() calls must be integrated into the actual code.

Step 6: Handle Decisions

Always check decision.conclusion:

  • "DENY" → block the operation. Use per-rule result accessors (see reference) for specific error messages like retry-after times.
  • "ALLOW" → safe to proceed

See the language reference for the exact decision-checking pattern and per-rule result accessors.

Common Mistakes to Avoid

  • Wrapping guard in a shared helper function — calling guard() through a guardToolCall() or protectCall() wrapper hides which rules apply to each operation. Call guard() inline where each operation happens.
  • Creating the client per call — the client holds a persistent connection. Create it once at module scope.
  • Configuring rules inside a function — rule configs carry stable IDs. Creating them per call breaks dashboard tracking and rate limit state.
  • Forgetting the key parameter on rate limit rules — without a key, Guard can't track per-user limits.
  • Forgetting bucket on rate limit rules — without a named bucket, different rules may collide.
  • Using the HTTP SDK when there's no request — use @arcjet/guard / arcjet.guard for non-HTTP code, not @arcjet/node, @arcjet/next, or arcjet().
  • Not checking decision.conclusion — always check before proceeding.
  • Generic DENY messages — use per-rule result accessors to give users specific feedback like retry-after times.

Step 7: Verify Guard Decisions with the CLI (Coming Soon)

Note: The arcjet guards CLI subcommand is not yet released. Once available, use this feedback loop to verify guard decisions are firing correctly.

After adding guard code, use the CLI to verify decisions are firing correctly. This creates a feedback loop: run the app, trigger a guard, inspect the decision, adjust if needed.

1. Start Watching

In a separate terminal, start streaming guard decisions:

arcjet guards watch --site-id <site-id>

This polls for new guard decisions and prints them as they arrive. Use --conclusion DENY to filter to denials only, or --interval 2 for faster polling.

2. Trigger the Guard

Run the application and exercise the code paths that call guard(). Each call should produce a decision visible in the watch output.

3. Inspect Decisions

If a decision doesn't match expectations, inspect it:

# List recent guard decisions
arcjet guards list --site-id <site-id>

# Get per-rule breakdown for a specific decision
arcjet guards details --site-id <site-id> --decision-id <decision-id>

The details view shows each rule execution, its mode (live/dry-run), conclusion, reason, and whether it was skipped — use this to diagnose why a guard allowed or denied unexpectedly.

4. Adjust and Repeat

If rules aren't firing as expected:

  • Check the label matches what appears in the decision
  • Verify the key is correct for rate limit rules (wrong key = wrong bucket)
  • Confirm the bucket name is unique per rule
  • Check rule ordering — rules execute in array order and a DENY from an earlier rule short-circuits later ones

Then re-run and watch again until decisions match expectations.

CLI Quick Reference

TaskCommand
Install/run CLInpx @arcjet/cli or brew install arcjet
Authenticatearcjet auth login
Check auth statusarcjet auth status
List teamsarcjet teams list
List sitesarcjet sites list --team-id <id>
Create sitearcjet sites create --team-id <id> --name "Name" --confirm
Get SDK keyarcjet sites get-key --site-id <id>
Watch guard decisionsarcjet guards watch --site-id <id>
List guard decisionsarcjet guards list --site-id <id>
Guard decision detailsarcjet guards details --site-id <id> --decision-id <id>

Global Flags

All commands support:

  • --output text|json — output format (default: text on TTY, json otherwise)
  • --fields <list> — comma-separated fields to include in JSON output
  • --no-color — disable ANSI colors (also honors NO_COLOR env var)
  • --timeout <duration> — max execution time (e.g. 30s, 5m; 0 disables)

Exit Codes

CodeMeaning
0Success
1General error (unknown command, API failure, network error)
2Authentication error (not logged in, token expired)
3Input validation error (invalid ID, value out of range)
4Confirmation required (mutation needs --confirm)

平台分布

Codex

35.56%
按下载量换算47

Claude

31.83%
按下载量换算42

Cursor

19.06%
按下载量换算25

Gemini CLI

10.43%
按下载量换算14

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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