Token导航 LogoToken导航TokenDH.com
前端设计敏感数据github未标认证来源可访问clear审计通过

security-patterns安全模式

Agent Skill

用于辅助前端页面、组件、样式和交互逻辑的开发与维护。它适合让 Agent 生成或审查 React、Next.js、Vue、Tailwind、CSS 等相关代码,整理组件结构,或定位布局和性能问题。使用时需要结合项目现有设计系统、路由和构建方式,避免只生成孤立片段;涉及页面改动时,应配合本地预览和构建检查确认视觉效果。

总安装

428

周安装

18

GitHub Stars

127

下载量

150
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

3

许可证

MIT

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:security-patterns(安全模式)
来源仓库:https://github.com/anton-abyzov/specweave
仓库路径:skills/security-patterns
安装命令:
npx skills add https://github.com/anton-abyzov/specweave --skill security-patterns
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/anton-abyzov/specweave --skill security-patterns

简介

基于 Anthropic 官方安全指南实现实时危险模式检测,预防高危代码提交。

  • 识别命令注入、子进程执行、环境变量误用等常见漏洞模式。
  • 提供 GitHub Actions、Node.js、Bash 等多场景的安全编码规范示例。
  • 需结合 CI/CD 流程集成,确保每次提交前自动扫描风险点。
  • 建议团队定期培训,强化安全编码意识与应急响应能力。

SKILL.md

Security Pattern Detector Skill

Overview

This skill provides real-time security pattern detection based on Anthropic's official security-guidance plugin. It identifies potentially dangerous coding patterns BEFORE they're committed.

Detection Categories

1. Command Injection Risks

GitHub Actions Workflow Injection

# DANGEROUS - User input directly in run command
run: echo "${{ github.event.issue.title }}"

# SAFE - Use environment variable
env:
  TITLE: ${{ github.event.issue.title }}
run: echo "$TITLE"

Node.js Child Process Execution

// DANGEROUS - Shell command with user input
exec(`ls ${userInput}`);
spawn('sh', ['-c', userInput]);

// SAFE - Array arguments, no shell
execFile('ls', [sanitizedPath]);
spawn('ls', [sanitizedPath], { shell: false });

Python OS Commands

# DANGEROUS
os.system(f"grep {user_input} file.txt")
subprocess.call(user_input, shell=True)

# SAFE
subprocess.run(['grep', sanitized_input, 'file.txt'], shell=False)

2. Dynamic Code Execution

JavaScript eval-like Patterns

// DANGEROUS - All of these execute arbitrary code
eval(userInput);
new Function(userInput)();
setTimeout(userInput, 1000);  // When string passed
setInterval(userInput, 1000); // When string passed

// SAFE - Use parsed data, not code
const config = JSON.parse(configString);

3. DOM-based XSS Risks

React dangerouslySetInnerHTML

// DANGEROUS - Renders arbitrary HTML
<div dangerouslySetInnerHTML={{ __html: userContent }} />

// SAFE - Use proper sanitization
import DOMPurify from 'dompurify';
<div dangerouslySetInnerHTML={{ __html: DOMPurify.sanitize(userContent) }} />

Direct DOM Manipulation

// DANGEROUS
element.innerHTML = userInput;
document.write(userInput);

// SAFE
element.textContent = userInput;
element.innerText = userInput;

4. Unsafe Deserialization

Python Pickle

# DANGEROUS - Pickle can execute arbitrary code
import pickle
data = pickle.loads(user_provided_bytes)

# SAFE - Use JSON for untrusted data
import json
data = json.loads(user_provided_string)

JavaScript unsafe deserialization

// DANGEROUS with untrusted input
const obj = eval('(' + jsonString + ')');

// SAFE
const obj = JSON.parse(jsonString);

5. SQL Injection

String Interpolation in Queries

// DANGEROUS
const query = `SELECT * FROM users WHERE id = ${userId}`;
db.query(`SELECT * FROM users WHERE name = '${userName}'`);

// SAFE - Parameterized queries
const query = 'SELECT * FROM users WHERE id = $1';
db.query(query, [userId]);

6. Path Traversal

Unsanitized File Paths

// DANGEROUS
const filePath = `./uploads/${userFilename}`;
fs.readFile(filePath); // User could pass "../../../etc/passwd"

// SAFE
const safePath = path.join('./uploads', path.basename(userFilename));
if (!safePath.startsWith('./uploads/')) throw new Error('Invalid path');

Pattern Detection Rules

PatternCategorySeverityAction
eval(Code ExecutionCRITICALBlock
new Function(Code ExecutionCRITICALBlock
dangerouslySetInnerHTMLXSSHIGHWarn
innerHTML =XSSHIGHWarn
document.write(XSSHIGHWarn
exec( + string concatCommand InjectionCRITICALBlock
spawn( + shell:trueCommand InjectionHIGHWarn
pickle.loads(DeserializationCRITICALWarn
${{github.eventGH Actions InjectionCRITICALWarn
Template literal in SQLSQL InjectionCRITICALBlock

Response Format

When detecting a pattern:

⚠️ **Security Warning**: [Pattern Category]

**File**: `path/to/file.ts:123`
**Pattern Detected**: `eval(userInput)`
**Risk**: Remote Code Execution - Attacker-controlled input can execute arbitrary JavaScript

**Recommendation**:
1. Never use eval() with user input
2. Use JSON.parse() for data parsing
3. Use safe alternatives for dynamic behavior

**Safe Alternative**:

// Instead of eval(userInput), use: const data = JSON.parse(userInput);

Integration with Code Review

This skill should be invoked:

  1. During PR reviews when new code is written
  2. As part of security audits
  3. When flagged by the code-reviewer skill

False Positive Handling

Some patterns may be false positives:

  • dangerouslySetInnerHTML with DOMPurify is safe
  • eval in build tools (not user input) may be acceptable
  • exec with hardcoded commands is lower risk

Always check the context before blocking.

Project-Specific Learnings

Before starting work, check for project-specific learnings:

# Check if skill memory exists for this skill
cat .specweave/skill-memories/security-patterns.md 2>/dev/null || echo "No project learnings yet"

Project learnings are automatically captured by the reflection system when corrections or patterns are identified during development. These learnings help you understand project-specific conventions and past decisions.

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

04

需要参考平台分布和安装热度时

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

补充不同宿主或平台的使用分布数据

能力 5

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

Claude Code

26.6%
按下载量换算40

Antigravity

21.9%
按下载量换算33

Cursor

19.69%
按下载量换算30

Gemini CLI

13.83%
按下载量换算21

OpenCode

8.21%
按下载量换算12

Codex

3.84%
按下载量换算6

安全审计

Gen Agent Trust Hub

通过

权限和风险

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。

来源信息

继续浏览同类 Skills