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Agent Skill · 研究检索

attack-surface(攻击面)

attack-surface 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。

attack-surface 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,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 65,208。

总安装 285周安装 12GitHub Stars 9下载 167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:attack-surface(攻击面)
来源仓库:https://github.com/florianbuetow/claude-code
仓库路径:skills/attack-surface
安装命令:
npx skills add https://github.com/florianbuetow/claude-code --skill attack-surface
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/florianbuetow/claude-code --skill attack-surface

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。

attack-surface 用于扫描应用程序的攻击面,识别所有外部数据接口与输入入口点。适用于安全审计、渗透测试前期侦察及合规性检查等高阶防护场景。按风险等级组织路由、API 端点与信任边界,输出可操作的加固建议清单。支持细粒度作用域控制,但窄范围扫描会发出警告提示完整性不足。

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/attack-surface

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/florianbuetow/claude-code --skill attack-surfa…;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

attack-surface 怎么安装?

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

attack-surface 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。

attack-surface 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。

attack-surface 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。

attack-surface 用的人多吗?

公开数据是累计安装 285 次,近一周安装 12 次,下载 167 次,GitHub 9 星。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。

attack-surface 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

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。
  • 第三方扫描已通过,常见的高风险行为没有命中。

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
attack-surface

攻击面 · 本页

2859接触敏感数据未明确通过

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

Attack Surface Mapping

Discover and inventory every entry point where external data enters the application. Produces a ranked catalog of all routes, APIs, input handlers, and external interfaces organized by exposure level and trust boundary.

Supported Flags

Read ../../shared/schemas/flags.md for the full flag specification.

FlagAttack Surface Behavior
--scopeDefault full. Attack surface mapping benefits from whole-codebase visibility. Narrow scopes produce partial inventories with a warning.
--depth quickFramework route extraction only (Grep for route decorators and definitions).
--depth standardRoute extraction + read handlers to classify input types and auth requirements.
--depth deepStandard + trace each entry point to internal sinks, map trust boundary crossings.
--depth expertDeep + rank by exploitability, identify shadow/undocumented endpoints, DREAD scoring.
--severityNot directly applicable. Used to filter the exposure ranking in output.
--formatDefault text. Use json for machine-readable inventory, md for wiki export.

Workflow

Step 1: Determine Scope

  1. Parse --scope flag. Default to full for this skill (attack surface requires broad visibility).
  2. Resolve to a concrete file list.
  3. Prioritize discovery in: route files, controller directories, API definitions, middleware, OpenAPI/Swagger specs, GraphQL schemas, gRPC proto files, CLI entry points, WebSocket handlers.

Step 2: Discover Framework and Language

Identify the application framework(s) to determine route registration patterns:

FrameworkRoute Pattern
Express/Koa/Fastifyapp.get(), router.post(), fastify.route()
Djangourlpatterns, path(), re_path(), @api_view
Flask@app.route(), @blueprint.route()
Spring@GetMapping, @PostMapping, @RequestMapping
Railsroutes.rb, resources:, get '/'
Next.js/Nuxtpages/ and app/ directory conventions, route.ts
ASP.NET[HttpGet], [Route], MapGet(), MapPost()
Go net/httphttp.HandleFunc(), mux.Handle(), gorilla/chi patterns
FastAPI@app.get(), @router.post()
gRPC.proto service definitions, generated server stubs
GraphQLSchema definitions, resolver registrations

Step 3: Extract Entry Points

For each framework detected, systematically extract all entry points:

  1. HTTP Routes: Method, path, handler function, middleware chain.
  2. API Endpoints: REST, GraphQL queries/mutations, gRPC services.
  3. Form Handlers: HTML form action targets, multipart upload handlers.
  4. File Upload Endpoints: Endpoints accepting file data, storage destinations.
  5. WebSocket Handlers: Connection endpoints, message handlers.
  6. CLI Arguments: Argument parsers (argparse, commander, cobra, clap).
  7. Message Queue Consumers: Kafka/RabbitMQ/SQS message handlers.
  8. Scheduled Tasks: Cron jobs, scheduled functions that process external data.
  9. Webhook Receivers: Endpoints accepting callbacks from external services.
  10. Server-Sent Events: SSE endpoints, streaming responses.

Step 4: Classify Each Entry Point

For every discovered entry point, determine:

  1. Authentication: None, API key, session, JWT, OAuth, mTLS, or unknown.
  2. Authorization: None, role-based, attribute-based, or unknown.
  3. Input Types: Query params, path params, headers, body (JSON/XML/form), files, cookies.
  4. Validation: Present (with details) or absent.
  5. Rate Limiting: Present or absent.
  6. Network Exposure: Internet-facing, internal network, localhost only.
  7. Protocol: HTTP, HTTPS, WebSocket, gRPC, raw TCP, message queue.

Step 5: Rank by Exposure

Assign an exposure level to each entry point:

LevelCriteria
CRITICALInternet-facing, no authentication, accepts user input, interacts with sensitive data or system resources
HIGHInternet-facing with authentication but handling sensitive data, or unauthenticated endpoints with limited input validation
MEDIUMAuthenticated endpoints with proper validation, or internal endpoints with no authentication
LOWInternal endpoints with authentication, limited input surface, or read-only operations on non-sensitive data

At --depth deep and --depth expert, trace each HIGH/CRITICAL entry point inward to identify what sinks they reach (databases, file system, external services, system commands).

Step 6: Identify Shadow Endpoints

At --depth expert, look for:

  • Debug/admin routes not behind auth middleware (e.g., /debug, /admin, /metrics, /health exposing internals).
  • Routes registered dynamically or via reflection that don't appear in static route lists.
  • Endpoints in test/staging configuration that may be active in production.
  • API versions that are deprecated but still routed.
  • OpenAPI/Swagger UI exposed without authentication.

Step 7: Report

Output the attack surface inventory.

Output Format

This skill produces an inventory, not vulnerability findings. However, when entry points have clearly missing security controls (no auth on sensitive endpoints), emit findings using the standard schema from ../../shared/schemas/findings.md.

Finding ID prefix: SURF (e.g., SURF-001).

Inventory Table

## Attack Surface Inventory

### Summary
- Total entry points: N
- Internet-facing: N (N unauthenticated)
- Internal: N
- Exposure: N CRITICAL, N HIGH, N MEDIUM, N LOW

### Entry Points by Exposure

| # | Method | Path | Auth | Input Types | Validation | Rate Limit | Exposure |
|---|--------|------|------|-------------|------------|------------|----------|
| 1 | POST | /api/v1/users | None | JSON body | None | No | CRITICAL |
| 2 | GET | /api/v1/users/:id | JWT | Path param | Partial | Yes | MEDIUM |
| ... |

### Trust Boundary Map (--depth deep)
[Mermaid diagram showing entry points grouped by trust boundary]

### Shadow Endpoints (--depth expert)
[Undocumented or debug endpoints discovered]

### Findings
[Standard findings for missing security controls on entry points]

Findings follow ../../shared/schemas/findings.md with:

  • metadata.tool: "attack-surface"
  • metadata.framework: depends on invoking context (or null if standalone)
  • references.cwe: CWE-16 (Configuration), CWE-306 (Missing Authentication)

Pragmatism Notes

  • Health check endpoints (/health, /ready) without auth are normal in container orchestration. Only flag if they expose sensitive internal state.
  • Internal APIs behind a service mesh or VPN still warrant inventory but at lower exposure.
  • CLI tools that only run locally have minimal attack surface unless they parse untrusted files.
  • Static file serving endpoints are low priority unless directory traversal is possible.

平台分布

Codex

36.01%
按下载量换算60

Claude

28.65%
按下载量换算48

Cursor

17.19%
按下载量换算29

Gemini CLI

9.7%
按下载量换算16

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

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。目前只有一个公开来源,建议同时核对源仓库。

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