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implementing-semgrep-for-custom-sast-rules为自定义 sast 规则实施 semgrep

Agent Skill

implementing-semgrep-for-custom-sast-rules 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。

总安装

250

周安装

10

GitHub Stars

5,933

下载量

81
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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:implementing-semgrep-for-custom-sast-rules(为自定义 sast 规则实施 semgrep)
来源仓库:https://github.com/mukul975/anthropic-cybersecurity-skills
仓库路径:skills/implementing-semgrep-for-custom-sast-rules
安装命令:
npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skill implementing-semgrep-for-custom-sast-rules
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/mukul975/anthropic-cybersecurity-skills --skill implementing-semgrep-for-custom-sast-rules

简介

为自定义 sast 规则实施 semgrep 技能用于查找、检索和筛选相关信息。

  • 适用于 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的任务场景。
  • 核心能力包括静态代码分析、自定义规则匹配和安全漏洞模式识别。
  • 安装方式:github;安装命令:npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skill implementing-semgrep-for-custom-sast-rules。
  • 使用前需确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写操作。

SKILL.md

Implementing Semgrep for Custom SAST Rules

Overview

Semgrep is an open-source static analysis tool that uses pattern-matching to find bugs, enforce code standards, and detect security vulnerabilities. Custom rules are written in YAML using Semgrep's pattern syntax, making it accessible without requiring compiler knowledge. It supports 30+ languages including Python, JavaScript, Go, Java, and C.

When to Use

  • When deploying or configuring implementing semgrep for custom sast rules capabilities in your environment
  • When establishing security controls aligned to compliance requirements
  • When building or improving security architecture for this domain
  • When conducting security assessments that require this implementation

Prerequisites

  • Python 3.8+ or Docker
  • Semgrep CLI installed
  • Target codebase in a supported language

Installation

# Install via pip
pip install semgrep

# Install via Homebrew
brew install semgrep

# Run via Docker
docker run -v "${PWD}:/src" returntocorp/semgrep semgrep --config auto /src

# Verify
semgrep --version

Running Semgrep

# Auto-detect rules for your code
semgrep --config auto .

# Use Semgrep registry rules
semgrep --config r/python.lang.security

# Use custom rule file
semgrep --config my-rules.yaml .

# Use multiple configs
semgrep --config auto --config ./custom-rules/ .

# JSON output
semgrep --config auto --json . > results.json

# SARIF output for GitHub
semgrep --config auto --sarif . > results.sarif

# Filter by severity
semgrep --config auto --severity ERROR .

Writing Custom Rules

Basic Pattern Matching

# rules/sql-injection.yaml
rules:
  - id: sql-injection-string-format
    languages: [python]
    severity: ERROR
    message: |
      Potential SQL injection via string formatting.
      Use parameterized queries instead.
    pattern: |
      cursor.execute(f"..." % ...)
    metadata:
      cwe: ["CWE-89"]
      owasp: ["A03:2021"]
      category: security
    fix: |
      cursor.execute("SELECT * FROM users WHERE id = %s", (user_id,))

Pattern Operators

rules:
  - id: hardcoded-secret-in-code
    languages: [python, javascript, typescript]
    severity: ERROR
    message: Hardcoded secret detected in source code
    patterns:
      - pattern-either:
          - pattern: $VAR = "..."
          - pattern: $VAR = '...'
      - metavariable-regex:
          metavariable: $VAR
          regex: (?i)(password|secret|api_key|token|aws_secret)
      - pattern-not: $VAR = ""
      - pattern-not: $VAR = "changeme"
      - pattern-not: $VAR = "PLACEHOLDER"
    metadata:
      cwe: ["CWE-798"]
      category: security

Taint Analysis

rules:
  - id: xss-taint-tracking
    languages: [python]
    severity: ERROR
    message: User input flows to HTML response without sanitization
    mode: taint
    pattern-sources:
      - pattern: request.args.get(...)
      - pattern: request.form.get(...)
      - pattern: request.form[...]
    pattern-sinks:
      - pattern: return render_template_string(...)
      - pattern: Markup(...)
    pattern-sanitizers:
      - pattern: bleach.clean(...)
      - pattern: escape(...)
    metadata:
      cwe: ["CWE-79"]
      owasp: ["A03:2021"]

Multiple Language Rule

rules:
  - id: insecure-random
    languages: [python, javascript, go, java]
    severity: WARNING
    message: |
      Using insecure random number generator. Use cryptographically
      secure alternatives for security-sensitive operations.
    pattern-either:
      # Python
      - pattern: random.random()
      - pattern: random.randint(...)
      # JavaScript
      - pattern: Math.random()
      # Go
      - pattern: math/rand.Intn(...)
      # Java
      - pattern: new java.util.Random()
    metadata:
      cwe: ["CWE-330"]

Enforce Coding Standards

rules:
  - id: require-error-handling
    languages: [go]
    severity: WARNING
    message: Error return value not checked
    pattern: |
      $VAR, _ := $FUNC(...)
    fix: |
      $VAR, err := $FUNC(...)
      if err != nil {
        return fmt.Errorf("$FUNC failed: %w", err)
      }

  - id: no-console-log-in-production
    languages: [javascript, typescript]
    severity: WARNING
    message: Remove console.log before merging to production
    pattern: console.log(...)
    paths:
      exclude:
        - "tests/*"
        - "*.test.*"

JWT Security Rules

rules:
  - id: jwt-none-algorithm
    languages: [python]
    severity: ERROR
    message: JWT decoded without algorithm verification - allows token forgery
    patterns:
      - pattern: jwt.decode($TOKEN, ..., algorithms=["none"], ...)
    metadata:
      cwe: ["CWE-347"]

  - id: jwt-no-verification
    languages: [python]
    severity: ERROR
    message: JWT decoded with verification disabled
    patterns:
      - pattern: jwt.decode($TOKEN, ..., options={"verify_signature": False}, ...)
    metadata:
      cwe: ["CWE-345"]

Rule Testing

# rules/test-sql-injection.yaml
rules:
  - id: sql-injection-format-string
    languages: [python]
    severity: ERROR
    message: SQL injection via format string
    pattern: |
      cursor.execute(f"...{$VAR}...")

# Test annotation in test file:
# test-sql-injection.py
def bad_query(user_id):
    # ruleid: sql-injection-format-string
    cursor.execute(f"SELECT * FROM users WHERE id = {user_id}")

def good_query(user_id):
    # ok: sql-injection-format-string
    cursor.execute("SELECT * FROM users WHERE id = %s", (user_id,))
# Run rule tests
semgrep --test rules/

# Test specific rule
semgrep --config rules/sql-injection.yaml --test

CI/CD Integration

GitHub Actions

name: Semgrep SAST
on: [pull_request]

jobs:
  semgrep:
    runs-on: ubuntu-latest
    container:
      image: returntocorp/semgrep
    steps:
      - uses: actions/checkout@v4

      - name: Run Semgrep
        run: |
          semgrep --config auto \
            --config ./custom-rules/ \
            --sarif --output results.sarif \
            --severity ERROR \
            .

      - name: Upload SARIF
        uses: github/codeql-action/upload-sarif@v3
        with:
          sarif_file: results.sarif

GitLab CI

semgrep:
  stage: test
  image: returntocorp/semgrep
  script:
    - semgrep --config auto --config ./custom-rules/ --json --output semgrep.json .
  artifacts:
    reports:
      sast: semgrep.json

Configuration File

# .semgrep.yaml
rules:
  - id: my-org-rules
    # ... rules here

# .semgrepignore
tests/
node_modules/
vendor/
*.min.js

Best Practices

  1. Start with auto config then add custom rules for org-specific patterns
  2. Test rules with # ruleid: and # ok: annotations
  3. Use taint mode for data flow vulnerabilities (XSS, SQLi, SSRF)
  4. Include metadata (CWE, OWASP) for vulnerability classification
  5. Provide fix suggestions with the fix key where possible
  6. Exclude test files to reduce false positives
  7. Version control rules in a shared repository
  8. Run in CI as a blocking check for ERROR severity findings

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

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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

35.44%
按下载量换算29

Claude

30.87%
按下载量换算25

Cursor

20.85%
按下载量换算17

Gemini CLI

10.37%
按下载量换算8

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

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