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semgrep-rule-variant-creatorsemgrep 规则变体创建者

Agent Skill

semgrep-rule-variant-creator 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

46,512

周安装

1,856

GitHub Stars

4,925

下载量

15,048
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:semgrep-rule-variant-creator(semgrep 规则变体创建者)
来源仓库:https://github.com/trailofbits/skills
仓库路径:skills/semgrep-rule-variant-creator
安装命令:
npx skills add https://github.com/trailofbits/skills --skill semgrep-rule-variant-creator
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/trailofbits/skills --skill semgrep-rule-variant-creator

简介

通过适用性分析和测试驱动的验证,将现有 Semgrep 规则移植到新的目标语言。

  • 采用现有 Semgrep 规则和目标语言作为输入;为每种适用的语言生成独立的规则和测试目录
  • 在移植之前需要对每种语言进行强制适用性分析,拒绝走捷径,例如在不同的 AST 中假设相同的模式
  • 强制执行测试优先方法:在为每种语言创建规则之前编写至少 2 个易受攻击的测试用例和 2 个安全测试用例
  • 在进入下一种语言之前,完成每种语言的完整 4 个阶段周期(适用性分析、测试创建、规则创建、验证)

SKILL.md

Semgrep Rule Variant Creator

Port existing Semgrep rules to new target languages with proper applicability analysis and test-driven validation.

When to Use

Ideal scenarios:

  • Porting an existing Semgrep rule to one or more target languages
  • Creating language-specific variants of a universal vulnerability pattern
  • Expanding rule coverage across a polyglot codebase
  • Translating rules between languages with equivalent constructs

When NOT to Use

Do NOT use this skill for:

  • Creating a new Semgrep rule from scratch (use semgrep-rule-creator instead)
  • Running existing rules against code
  • Languages where the vulnerability pattern fundamentally doesn't apply
  • Minor syntax variations within the same language

Input Specification

This skill requires:

  1. Existing Semgrep rule - YAML file path or YAML rule content
  2. Target languages - One or more languages to port to (e.g., "Golang and Java")

Output Specification

For each applicable target language, produces:

<original-rule-id>-<language>/
├── <original-rule-id>-<language>.yaml     # Ported Semgrep rule
└── <original-rule-id>-<language>.<ext>    # Test file with annotations

Example output for porting sql-injection to Go and Java:

sql-injection-golang/
├── sql-injection-golang.yaml
└── sql-injection-golang.go

sql-injection-java/
├── sql-injection-java.yaml
└── sql-injection-java.java

Rationalizations to Reject

When porting Semgrep rules, reject these common shortcuts:

RationalizationWhy It FailsCorrect Approach
"Pattern structure is identical"Different ASTs across languagesAlways dump AST for target language
"Same vulnerability, same detection"Data flow differs between languagesAnalyze target language idioms
"Rule doesn't need tests since original worked"Language edge cases differWrite NEW test cases for target
"Skip applicability - it obviously applies"Some patterns are language-specificComplete applicability analysis first
"I'll create all variants then test"Errors compound, hard to debugComplete full cycle per language
"Library equivalent is close enough"Surface similarity hides differencesVerify API semantics match
"Just translate the syntax 1:1"Languages have different idiomsResearch target language patterns

Strictness Level

This workflow is strict - do not skip steps:

  • Applicability analysis is mandatory: Don't assume patterns translate
  • Each language is independent: Complete full cycle before moving to next
  • Test-first for each variant: Never write a rule without test cases
  • 100% test pass required: "Most tests pass" is not acceptable

Overview

This skill guides the creation of language-specific variants of existing Semgrep rules. Each target language goes through an independent 4-phase cycle:

FOR EACH target language:
  Phase 1: Applicability Analysis → Verdict
  Phase 2: Test Creation (Test-First)
  Phase 3: Rule Creation
  Phase 4: Validation
  (Complete full cycle before moving to next language)

Foundational Knowledge

The semgrep-rule-creator skill is the authoritative reference for Semgrep rule creation fundamentals. While this skill focuses on porting existing rules to new languages, the core principles of writing quality rules remain the same.

Consult semgrep-rule-creator for guidance on:

  • When to use taint mode vs pattern matching - Choosing the right approach for the vulnerability type
  • Test-first methodology - Why tests come before rules and how to write effective test cases
  • Anti-patterns to avoid - Common mistakes like overly broad or overly specific patterns
  • Iterating until tests pass - The validation loop and debugging techniques
  • Rule optimization - Removing redundant patterns after tests pass

When porting a rule, you're applying these same principles in a new language context. If uncertain about rule structure or approach, refer to semgrep-rule-creator first.

Four-Phase Workflow

Phase 1: Applicability Analysis

Before porting, determine if the pattern applies to the target language.

Analysis criteria:

  1. Does the vulnerability class exist in the target language?
  2. Does an equivalent construct exist (function, pattern, library)?
  3. Are the semantics similar enough for meaningful detection?

Verdict options:

  • APPLICABLE → Proceed with variant creation
  • APPLICABLE_WITH_ADAPTATION → Proceed but significant changes needed
  • NOT_APPLICABLE → Skip this language, document why

See applicability-analysis.md for detailed guidance.

Phase 2: Test Creation (Test-First)

Always write tests before the rule.

Create test file with target language idioms:

  • Minimum 2 vulnerable cases (ruleid:)
  • Minimum 2 safe cases (ok:)
  • Include language-specific edge cases
// ruleid: sql-injection-golang
db.Query("SELECT * FROM users WHERE id = " + userInput)

// ok: sql-injection-golang
db.Query("SELECT * FROM users WHERE id = ?", userInput)

Phase 3: Rule Creation

  1. Analyze AST: semgrep --dump-ast -l <lang> test-file
  2. Translate patterns to target language syntax
  3. Update metadata: language key, message, rule ID
  4. Adapt for idioms: Handle language-specific constructs

See language-syntax-guide.md for translation guidance.

Phase 4: Validation

# Validate YAML
semgrep --validate --config rule.yaml

# Run tests
semgrep --test --config rule.yaml test-file

Checkpoint: Output MUST show All tests passed.

For taint rule debugging:

semgrep --dataflow-traces -f rule.yaml test-file

See workflow.md for detailed workflow and troubleshooting.

Quick Reference

TaskCommand
Run testssemgrep --test --config rule.yaml test-file
Validate YAMLsemgrep --validate --config rule.yaml
Dump ASTsemgrep --dump-ast -l <lang> <file>
Debug taint flowsemgrep --dataflow-traces -f rule.yaml file

Key Differences from Rule Creation

Aspectsemgrep-rule-creatorThis skill
InputBug pattern descriptionExisting rule + target languages
OutputSingle rule+testMultiple rule+test directories
WorkflowSingle creation cycleIndependent cycle per language
Phase 1Problem analysisApplicability analysis per language
Library researchAlways relevantOptional (when original uses libraries)

Documentation

REQUIRED: Before porting rules, read relevant Semgrep documentation:

Next Steps

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

27.84%
按下载量换算4,189

OpenCode

22.49%
按下载量换算3,384

Gemini CLI

21.11%
按下载量换算3,177

Cursor

14.12%
按下载量换算2,125

Antigravity

8.46%
按下载量换算1,273

Codex

3.92%
按下载量换算590

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

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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